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HeyDonto FHIR R4 API - Diagnostic (1.0)
The Diagnostics Module provides an overview and guide to the FHIR content that addresses ordering and reporting of clinical diagnostics including laboratory testing, imaging and genomics.
The Diagnostics module covers the following resources:
- Observation - Measurements and simple assertions made about a patient, device or other subject
- DiagnosticReport - The findings and interpretation of diagnostic tests performed on patients, groups of patients, devices, and locations, and/or specimens derived from these. The report includes clinical context such as requesting and provider information, and some mix of atomic results, images, textual and coded interpretations, and formatted representation of diagnostic reports
- ServiceRequest - A record of a request for service such as diagnostic investigations, treatments, or operations to be performed
- Media - A photo, video, or audio recording acquired or used in healthcare. The actual content may be inline or provided by direct reference
- ImagingStudy - Representation of the content produced in a DICOM imaging study. A study comprises a set of series, each of which includes a set of Service-Object Pair Instances (SOP Instances - images or other data) acquired or produced in a common context. A series is of only one modality (e.g. X-ray, CT, MR, ultrasound), but a study may have multiple series of different modalities
- MolecularSequence - Raw data describing a biological sequence
- Specimen - A sample to be used for analysis
- BodyStructure - Record details about an anatomical structure. This resource may be used when a coded concept does not provide the necessary detail needed for the use case
The diagnostic resources and their relationships are shown below. The arrows represent the direction of the references between resources (for example, DiagnosticReport references ServiceRequest). See the Workflow Module for information about the coordination of activities such as ordering and fulfilling of diagnostics.

Implementation Note: See the Genomics Implementation Guidance for additional information about how to use the Diagnostic resources for Clinical Genomic Reporting and Analysis.
The diagnostic resources often represent patient-specific data, and as such are susceptible to data breaching. Necessary privacy and security provisions must be in place when searching and fetching this information. For more general considerations, see the Security and Privacy module.
Diagnostic resources are commonly used to plan, recommend, order and report clinical diagnostics:
- Planning a diagnostic test such as in this Careplan-example
- Recommending diagnostics such as is done by Clinical Decision Support tools. See the Clinical Reasoning module for more information
- Ordering a Laboratory Test such as a lipid panel
- Reporting a Laboratory Test such as a lipid panel
- Ordering an imaging study such as a CT study
- Reporting an imaging study such as a CT study
- Ordering a genetic test such as a gene mutation analysis
- Reporting a genetic test such as HLA genotyping
There are many ways to use these resources independently as well. The Observation resource, in particular, is central to capturing many measurements and events in healthcare and is often used outside the context of diagnostic orders and reports:
- Recording vital signs such as temperature
- Recording other observations of a patient's social history such as tobacco use
- Recording other characteristics of a patient such as pregnancy status (note: The Condition resource may be used to represent these as well)
- Recording clinical assessment tool scores such as an Apgar score
- Identifying and describing a specimen or body site
The Observation and Diagnostic Report resources have been tested and used in production tooling and as such have reached a maturity level FMM=4 where changes become less likely and require implementer community approval. Future work will focus on developing core profiles and clarifying use cases and boundaries and providing more domain specific examples. We anticipate Observation and Diagnostic Report reaching normative status by the end of this cycle.
The ImagingStudy resource has had some limited testing and use. Further use of this resource in production tooling is needed for it to reach a more stable FMM level.
The ServiceRequest resources has undergone substantial changes since DSTU2. Foremost of which is the merging of DSTU2 DiagnosticOrder and ServiceRequest into a single resource. In addition, as a result of the addition of FHIR workflow for STU3, its structure and content have been updated to align with the general FHIR workflow "request" pattern. Because of these, it remains a relatively immature resource. No more sweeping changes to its structure are expected. However, its scope and boundaries vis a vis other resources will be the topic of future workgroup efforts. We anticipate its broad use by implementers and that it will mature as a resource throughout the upcoming cycle.
The Specimen resource will be the focus of work group efforts for the upcoming cycle. A new SpecimenDefinition resource is planned for describing specimen types vs specimen instances and will take over some of the Specimen resource's current scope. We expect to see more widespread use of this resource and future updates to its FMM level.
The MolecularSequence resource remains draft and we expect to see more widespread use of this resource and future updates to its FMM level.
The BodyStructure resource is an immature resource with a FMM level of 1. To date there has been little implementation feedback.
The Media resource is the newest member to the Diagnostics module having undergone substantial scope and structural changes to create a specialized observation resource focused on digital media such as images and audio files. Future work will focus on developing core profiles and providing more domain specific examples.
https://docs.heydonto.com/_mock/apis/fhir/diagnostic/
https://api-staging.heydonto.com/
https://api.heydonto.com/
Sort the results by a given field, e.g. _sort=family or _sort=-date.
Restrict returned fields, e.g. _elements=identifier,name.
Filter by resource telecom, e.g. date=[SYSTEM]|[VALUE].
Search for resources by identifier token, e.g. identifier=http://hospital.org|12345.
Include related patient resources, e.g. patient=Patient/[id]&.
Reverse chaining, e.g. _has:Observation:subject:code=http://loinc.org|1234-5.
Search by tag on the resource meta, e.g. _tag=http://example.org/tags|sample-tag.
Search by security label on resource meta, e.g. _security=RBAC|CONFIDENTIAL.
- Mock server
https://docs.heydonto.com/_mock/apis/fhir/diagnostic/site/{siteId}/fhir/diagnostic-report
- Sandbox
https://api-staging.heydonto.com/site/{siteId}/fhir/diagnostic-report
- Production
https://api.heydonto.com/site/{siteId}/fhir/diagnostic-report
- curl
- JavaScript
- Node.js
- Python
- Java
- C#
- PHP
- Go
- Ruby
- R
- Payload
curl -i -X GET \
'https://docs.heydonto.com/_mock/apis/fhir/diagnostic/site/{siteId}/fhir/diagnostic-report?_count=10&_page_token=CgYK...&_sort=family&_elements=identifier%2Cname&telecom=telecom%3Dphone%2C555-555-5555&_id=abc123&identifier=http%3A%2F%2Fhospital.org%2C12345&_include=string&patient=patient%3DPatient%2F%5Bid%5D%26&_revinclude=string&_has=Observation%3Asubject%3Acode%3Dhttp%3A%2F%2Floinc.org%2C1234-5&_tag=http%3A%2F%2Fexample.org%2Ftags%2Csample-tag&_security=RBAC%2CCONFIDENTIAL&_profile=http%3A%2F%2Fexample.org%2Ffhir%2FStructureDefinition%2Fcustom-profile' \
-H 'Authorization: Bearer <YOUR_JWT_HERE>'Any combination of letters, numerals, "-" and ".", with a length limit of 64 characters. (This might be an integer, an unprefixed OID, UUID or any other identifier pattern that meets these constraints.) Ids are case-insensitive.
The metadata about a resource. This is content in the resource that is maintained by the infrastructure. Changes to the content might not always be associated with version changes to the resource.
String of characters used to identify a name or a resource
A string which has at least one character and no leading or trailing whitespace and where there is no whitespace other than single spaces in the contents
An identifier - identifies some entity uniquely and unambiguously. Typically this is used for business identifiers.
Indicates the purpose of this bundle - how it is intended to be used.
An instant in time - known at least to the second
An integer with a value that is not negative (e.g. >= 0)
A series of links that provide context to this bundle.
An entry in a bundle resource - will either contain a resource or information about a resource (transactions and history only).
A signature along with supporting context. The signature may be a digital signature that is cryptographic in nature, or some other signature acceptable to the domain. This other signature may be as simple as a graphical image representing a hand-written signature, or a signature ceremony Different signature approaches have different utilities.
{ "resourceType": "Bundle", "type": "searchset", "total": 100, "link": [ { … }, { … }, { … }, { … } ], "entry": [ { … } ] }
This is a DiagnosticReport resource
Any combination of letters, numerals, "-" and ".", with a length limit of 64 characters. (This might be an integer, an unprefixed OID, UUID or any other identifier pattern that meets these constraints.) Ids are case-insensitive.
The metadata about a resource. This is content in the resource that is maintained by the infrastructure. Changes to the content might not always be associated with version changes to the resource.
String of characters used to identify a name or a resource
A string which has at least one character and no leading or trailing whitespace and where there is no whitespace other than single spaces in the contents
A human-readable summary of the resource conveying the essential clinical and business information for the resource.
These resources do not have an independent existence apart from the resource that contains them - they cannot be identified independently, and nor can they have their own independent transaction scope.
May be used to represent additional information that is not part of the basic definition of the resource. To make the use of extensions safe and manageable, there is a strict set of governance applied to the definition and use of extensions. Though any implementer can define an extension, there is a set of requirements that SHALL be met as part of the definition of the extension.
May be used to represent additional information that is not part of the basic definition of the resource and that modifies the understanding of the element that contains it and/or the understanding of the containing element's descendants. Usually modifier elements provide negation or qualification. To make the use of extensions safe and manageable, there is a strict set of governance applied to the definition and use of extensions. Though any implementer is allowed to define an extension, there is a set of requirements that SHALL be met as part of the definition of the extension. Applications processing a resource are required to check for modifier extensions.
Modifier extensions SHALL NOT change the meaning of any elements on Resource or DomainResource (including cannot change the meaning of modifierExtension itself).
Identifiers assigned to this report by the performer or other systems.
The status of the diagnostic report.
A code that classifies the clinical discipline, department or diagnostic service that created the report (e.g. cardiology, biochemistry, hematology, MRI). This is used for searching, sorting and display purposes.
A concept that may be defined by a formal reference to a terminology or ontology or may be provided by text.
May be used to represent additional information that is not part of the basic definition of the element. To make the use of extensions safe and manageable, there is a strict set of governance applied to the definition and use of extensions. Though any implementer can define an extension, there is a set of requirements that SHALL be met as part of the definition of the extension.
The time or time-period the observed values are related to. When the subject of the report is a patient, this is usually either the time of the procedure or of specimen collection(s), but very often the source of the date/time is not known, only the date/time itself.
An instant in time - known at least to the second
The diagnostic service that is responsible for issuing the report.
The practitioner or organization that is responsible for the report's conclusions and interpretations.
Details about the specimens on which this diagnostic report is based.
Observations that are part of this diagnostic report.
One or more links to full details of any imaging performed during the diagnostic investigation. Typically, this is imaging performed by DICOM enabled modalities, but this is not required. A fully enabled PACS viewer can use this information to provide views of the source images.
A list of key images associated with this report. The images are generally created during the diagnostic process, and may be directly of the patient, or of treated specimens (i.e. slides of interest).
One or more codes that represent the summary conclusion (interpretation/impression) of the diagnostic report.
- Mock server
https://docs.heydonto.com/_mock/apis/fhir/diagnostic/site/{siteId}/fhir/diagnostic-report
- Sandbox
https://api-staging.heydonto.com/site/{siteId}/fhir/diagnostic-report
- Production
https://api.heydonto.com/site/{siteId}/fhir/diagnostic-report
- curl
- JavaScript
- Node.js
- Python
- Java
- C#
- PHP
- Go
- Ruby
- R
- Payload
curl -i -X POST \
'https://docs.heydonto.com/_mock/apis/fhir/diagnostic/site/{siteId}/fhir/diagnostic-report' \
-H 'Authorization: Bearer <YOUR_JWT_HERE>' \
-H 'Content-Type: application/json' \
-d '{
"resourceType": "Bundle",
"id": "101",
"type": "collection",
"entry": [
{
"fullUrl": "https://example.com/base/DiagnosticReport/101",
"resource": {
"resourceType": "DiagnosticReport",
"id": "101",
"meta": {
"tag": [
{
"system": "http://example.org/fhir/CodeSystem/workflow-codes",
"code": "01",
"display": "Needs Review"
}
]
},
"text": {
"status": "generated",
"div": "<div xmlns=\"http://www.w3.org/1999/xhtml\">\n\t\t\t\t\t\t<h3>CBC Report for Wile. E. COYOTE (MRN: 23453) issued 3-Mar 2011 11:45</h3>\n\t\t\t\t\t\t<pre>\nTest Units Value Reference Range\nHaemoglobin g/L 176 135 - 180\nRed Cell Count x10*12/L 5.9 4.2 - 6.0\nHaematocrit 0.55+ 0.38 - 0.52\nMean Cell Volume fL 99+ 80 - 98\nMean Cell Haemoglobin pg 36+ 27 - 35\nPlatelet Count x10*9/L 444 150 - 450\nWhite Cell Count x10*9/L 4.6 4.0 - 11.0\nNeutrophils % 20\nNeutrophils x10*9/L 0.9--- 2.0 - 7.5\nLymphocytes % 20\nLymphocytes x10*9/L 0.9- 1.1 - 4.0\nMonocytes % 20\nMonocytes x10*9/L 0.9 0.2 - 1.0\nEosinophils % 20\nEosinophils x10*9/L 0.92++ 0.04 - 0.40\nBasophils % 20\nBasophils x10*9/L 0.92+++ <0.21\n </pre>\n\t\t\t\t\t\t<p>Acme Laboratory, Inc signed: Dr Pete Pathologist</p>\n\t\t\t\t\t</div>"
},
"identifier": [
{
"system": "http://acme.com/lab/reports",
"value": "5234342"
}
],
"status": "final",
"category": [
{
"coding": [
{
"system": "http://terminology.hl7.org/CodeSystem/v2-0074",
"code": "HM"
}
]
}
],
"code": {
"coding": [
{
"system": "http://loinc.org",
"code": "58410-2",
"display": "Complete blood count (hemogram) panel - Blood by Automated count"
},
{
"code": "CBC",
"display": "MASTER FULL BLOOD COUNT"
}
],
"text": "Complete Blood Count"
},
"subject": {
"reference": "Patient/pat2"
},
"encounter": {
"reference": "Encounter/example"
},
"effectiveDateTime": "2011-03-04T08:30:00+11:00",
"issued": "2011-03-04T11:45:33+11:00",
"performer": [
{
"reference": "Organization/1832473e-2fe0-452d-abe9-3cdb9879522f",
"display": "Acme Laboratory, Inc"
}
],
"result": [
{
"reference": "Observation/r1"
},
{
"reference": "Observation/r2"
},
{
"reference": "Observation/r3"
},
{
"reference": "Observation/r4"
},
{
"reference": "Observation/r5"
},
{
"reference": "Observation/r6"
},
{
"reference": "Observation/r7"
},
{
"reference": "Observation/r8"
},
{
"reference": "Observation/r9"
},
{
"reference": "Observation/r10"
},
{
"reference": "Observation/r11"
},
{
"reference": "Observation/r12"
},
{
"reference": "Observation/r13"
},
{
"reference": "Observation/r14"
},
{
"reference": "Observation/r15"
},
{
"reference": "Observation/r16"
},
{
"reference": "Observation/r17"
}
],
"presentedForm": [
{
"contentType": "application/pdf",
"language": "en-AU",
"data": 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",
"title": "HTML Report"
}
]
}
},
{
"fullUrl": "https://example.com/base/Observation/r1",
"resource": {
"resourceType": "Observation",
"id": "r1",
"text": {
"status": "generated",
"div": "<div xmlns=\"http://www.w3.org/1999/xhtml\"><p><b>Generated Narrative with Details</b></p><p><b>id</b>: r1</p><p><b>status</b>: final</p><p><b>code</b>: Haemoglobin <span>(Details : {LOINC code '\''718-7'\'' = '\''Hemoglobin [Mass/volume] in Blood'\'', given as '\''Hemoglobin [Mass/volume] in Blood'\''})</span></p><p><b>subject</b>: <a>Patient/pat2</a></p><p><b>performer</b>: <a>Acme Laboratory, Inc</a></p><p><b>value</b>: 176 g/L<span> (Details: UCUM code g/L = '\''g/L'\'')</span></p><h3>ReferenceRanges</h3><table><tr><td>-</td><td><b>Low</b></td><td><b>High</b></td></tr><tr><td>*</td><td>135 g/L<span> (Details: UCUM code g/L = '\''g/L'\'')</span></td><td>180 g/L<span> (Details: UCUM code g/L = '\''g/L'\'')</span></td></tr></table></div>"
},
"status": "final",
"code": {
"coding": [
{
"system": "http://loinc.org",
"code": "718-7",
"display": "Hemoglobin [Mass/volume] in Blood"
}
],
"text": "Haemoglobin"
},
"subject": {
"reference": "Patient/pat2"
},
"performer": [
{
"reference": "Organization/1832473e-2fe0-452d-abe9-3cdb9879522f",
"display": "Acme Laboratory, Inc"
}
],
"valueQuantity": {
"value": 176,
"unit": "g/L",
"system": "http://unitsofmeasure.org",
"code": "g/L"
},
"referenceRange": [
{
"low": {
"value": 135,
"unit": "g/L",
"system": "http://unitsofmeasure.org",
"code": "g/L"
},
"high": {
"value": 180,
"unit": "g/L",
"system": "http://unitsofmeasure.org",
"code": "g/L"
}
}
]
}
},
{
"fullUrl": "https://example.com/base/Observation/r2",
"resource": {
"resourceType": "Observation",
"id": "r2",
"text": {
"status": "generated",
"div": "<div xmlns=\"http://www.w3.org/1999/xhtml\"><p><b>Generated Narrative with Details</b></p><p><b>id</b>: r2</p><p><b>status</b>: final</p><p><b>code</b>: Red Cell Count <span>(Details : {LOINC code '\''789-8'\'' = '\''Erythrocytes [#/volume] in Blood by Automated count'\'', given as '\''Erythrocytes [#/volume] in Blood by Automated count'\''})</span></p><p><b>subject</b>: <a>Patient/pat2</a></p><p><b>performer</b>: <a>Acme Laboratory, Inc</a></p><p><b>value</b>: 5.9 x10*12/L<span> (Details: UCUM code 10*12/L = '\''10*12/L'\'')</span></p><h3>ReferenceRanges</h3><table><tr><td>-</td><td><b>Low</b></td><td><b>High</b></td></tr><tr><td>*</td><td>4.2 x10*12/L<span> (Details: UCUM code 10*12/L = '\''10*12/L'\'')</span></td><td>6.0 x10*12/L<span> (Details: UCUM code 10*12/L = '\''10*12/L'\'')</span></td></tr></table></div>"
},
"status": "final",
"code": {
"coding": [
{
"system": "http://loinc.org",
"code": "789-8",
"display": "Erythrocytes [#/volume] in Blood by Automated count"
}
],
"text": "Red Cell Count"
},
"subject": {
"reference": "Patient/pat2"
},
"performer": [
{
"reference": "Organization/1832473e-2fe0-452d-abe9-3cdb9879522f",
"display": "Acme Laboratory, Inc"
}
],
"valueQuantity": {
"value": 5.9,
"unit": "x10*12/L",
"system": "http://unitsofmeasure.org",
"code": "10*12/L"
},
"referenceRange": [
{
"low": {
"value": 4.2,
"unit": "x10*12/L",
"system": "http://unitsofmeasure.org",
"code": "10*12/L"
},
"high": {
"value": 6,
"unit": "x10*12/L",
"system": "http://unitsofmeasure.org",
"code": "10*12/L"
}
}
]
}
},
{
"fullUrl": "https://example.com/base/Observation/r3",
"resource": {
"resourceType": "Observation",
"id": "r3",
"text": {
"status": "generated",
"div": "<div xmlns=\"http://www.w3.org/1999/xhtml\"><p><b>Generated Narrative with Details</b></p><p><b>id</b>: r3</p><p><b>status</b>: final</p><p><b>code</b>: Haematocrit <span>(Details : {LOINC code '\''4544-3'\'' = '\''Hematocrit [Volume Fraction] of Blood by Automated count'\'', given as '\''Hematocrit [Volume Fraction] of Blood by Automated count'\''})</span></p><p><b>subject</b>: <a>Patient/pat2</a></p><p><b>performer</b>: <a>Acme Laboratory, Inc</a></p><p><b>value</b>: 55 %</p><p><b>interpretation</b>: High <span>(Details : {http://terminology.hl7.org/CodeSystem/v3-ObservationInterpretation code '\''H'\'' = '\''High)</span></p><h3>ReferenceRanges</h3><table><tr><td>-</td><td><b>Low</b></td><td><b>High</b></td></tr><tr><td>*</td><td>38 %</td><td>52 %</td></tr></table></div>"
},
"status": "final",
"code": {
"coding": [
{
"system": "http://loinc.org",
"code": "4544-3",
"display": "Hematocrit [Volume Fraction] of Blood by Automated count"
}
],
"text": "Haematocrit"
},
"subject": {
"reference": "Patient/pat2"
},
"performer": [
{
"reference": "Organization/1832473e-2fe0-452d-abe9-3cdb9879522f",
"display": "Acme Laboratory, Inc"
}
],
"valueQuantity": {
"value": 55,
"unit": "%"
},
"interpretation": [
{
"coding": [
{
"system": "http://terminology.hl7.org/CodeSystem/v3-ObservationInterpretation",
"code": "H"
}
]
}
],
"referenceRange": [
{
"low": {
"value": 38,
"unit": "%"
},
"high": {
"value": 52,
"unit": "%"
}
}
]
}
},
{
"fullUrl": "https://example.com/base/Observation/r4",
"resource": {
"resourceType": "Observation",
"id": "r4",
"text": {
"status": "generated",
"div": "<div xmlns=\"http://www.w3.org/1999/xhtml\"><p><b>Generated Narrative with Details</b></p><p><b>id</b>: r4</p><p><b>status</b>: final</p><p><b>code</b>: Mean Cell Volume <span>(Details : {LOINC code '\''787-2'\'' = '\''Erythrocyte mean corpuscular volume [Entitic volume] by Automated count'\'', given as '\''Erythrocyte mean corpuscular volume [Entitic volume] by Automated count'\''})</span></p><p><b>subject</b>: <a>Patient/pat2</a></p><p><b>performer</b>: <a>Acme Laboratory, Inc</a></p><p><b>value</b>: 99 fL<span> (Details: UCUM code fL = '\''fL'\'')</span></p><p><b>interpretation</b>: High <span>(Details : {http://terminology.hl7.org/CodeSystem/v3-ObservationInterpretation code '\''H'\'' = '\''High)</span></p><h3>ReferenceRanges</h3><table><tr><td>-</td><td><b>Low</b></td><td><b>High</b></td></tr><tr><td>*</td><td>80 fL<span> (Details: UCUM code fL = '\''fL'\'')</span></td><td>98 fL<span> (Details: UCUM code fL = '\''fL'\'')</span></td></tr></table></div>"
},
"status": "final",
"code": {
"coding": [
{
"system": "http://loinc.org",
"code": "787-2",
"display": "Erythrocyte mean corpuscular volume [Entitic volume] by Automated count"
}
],
"text": "Mean Cell Volume"
},
"subject": {
"reference": "Patient/pat2"
},
"performer": [
{
"reference": "Organization/1832473e-2fe0-452d-abe9-3cdb9879522f",
"display": "Acme Laboratory, Inc"
}
],
"valueQuantity": {
"value": 99,
"unit": "fL",
"system": "http://unitsofmeasure.org",
"code": "fL"
},
"interpretation": [
{
"coding": [
{
"system": "http://terminology.hl7.org/CodeSystem/v3-ObservationInterpretation",
"code": "H"
}
]
}
],
"referenceRange": [
{
"low": {
"value": 80,
"unit": "fL",
"system": "http://unitsofmeasure.org",
"code": "fL"
},
"high": {
"value": 98,
"unit": "fL",
"system": "http://unitsofmeasure.org",
"code": "fL"
}
}
]
}
},
{
"fullUrl": "https://example.com/base/Observation/r5",
"resource": {
"resourceType": "Observation",
"id": "r5",
"text": {
"status": "generated",
"div": "<div xmlns=\"http://www.w3.org/1999/xhtml\"><p><b>Generated Narrative with Details</b></p><p><b>id</b>: r5</p><p><b>status</b>: final</p><p><b>code</b>: Mean Cell Haemoglobin <span>(Details : {LOINC code '\''785-6'\'' = '\''Erythrocyte mean corpuscular hemoglobin [Entitic mass] by Automated count'\'', given as '\''Erythrocyte mean corpuscular hemoglobin [Entitic mass] by Automated count'\''})</span></p><p><b>subject</b>: <a>Patient/pat2</a></p><p><b>performer</b>: <a>Acme Laboratory, Inc</a></p><p><b>value</b>: 36 pg<span> (Details: UCUM code pg = '\''pg'\'')</span></p><p><b>interpretation</b>: High <span>(Details : {http://terminology.hl7.org/CodeSystem/v3-ObservationInterpretation code '\''H'\'' = '\''High)</span></p><h3>ReferenceRanges</h3><table><tr><td>-</td><td><b>Low</b></td><td><b>High</b></td></tr><tr><td>*</td><td>27 pg<span> (Details: UCUM code pg = '\''pg'\'')</span></td><td>35 pg<span> (Details: UCUM code pg = '\''pg'\'')</span></td></tr></table></div>"
},
"status": "final",
"code": {
"coding": [
{
"system": "http://loinc.org",
"code": "785-6",
"display": "Erythrocyte mean corpuscular hemoglobin [Entitic mass] by Automated count"
}
],
"text": "Mean Cell Haemoglobin"
},
"subject": {
"reference": "Patient/pat2"
},
"performer": [
{
"reference": "Organization/1832473e-2fe0-452d-abe9-3cdb9879522f",
"display": "Acme Laboratory, Inc"
}
],
"valueQuantity": {
"value": 36,
"unit": "pg",
"system": "http://unitsofmeasure.org",
"code": "pg"
},
"interpretation": [
{
"coding": [
{
"system": "http://terminology.hl7.org/CodeSystem/v3-ObservationInterpretation",
"code": "H"
}
]
}
],
"referenceRange": [
{
"low": {
"value": 27,
"unit": "pg",
"system": "http://unitsofmeasure.org",
"code": "pg"
},
"high": {
"value": 35,
"unit": "pg",
"system": "http://unitsofmeasure.org",
"code": "pg"
}
}
]
}
},
{
"fullUrl": "https://example.com/base/Observation/r6",
"resource": {
"resourceType": "Observation",
"id": "r6",
"text": {
"status": "generated",
"div": "<div xmlns=\"http://www.w3.org/1999/xhtml\"><p><b>Generated Narrative with Details</b></p><p><b>id</b>: r6</p><p><b>status</b>: final</p><p><b>code</b>: Platelet Count <span>(Details : {LOINC code '\''777-3'\'' = '\''Platelets [#/volume] in Blood by Automated count'\'', given as '\''Platelets [#/volume] in Blood by Automated count'\''})</span></p><p><b>subject</b>: <a>Patient/pat2</a></p><p><b>performer</b>: <a>Acme Laboratory, Inc</a></p><p><b>value</b>: 444 x10*9/L<span> (Details: UCUM code 10*9/L = '\''10*9/L'\'')</span></p><h3>ReferenceRanges</h3><table><tr><td>-</td><td><b>Low</b></td><td><b>High</b></td></tr><tr><td>*</td><td>150 x10*9/L<span> (Details: UCUM code 10*9/L = '\''10*9/L'\'')</span></td><td>450 x10*9/L<span> (Details: UCUM code 10*9/L = '\''10*9/L'\'')</span></td></tr></table></div>"
},
"status": "final",
"code": {
"coding": [
{
"system": "http://loinc.org",
"code": "777-3",
"display": "Platelets [#/volume] in Blood by Automated count"
}
],
"text": "Platelet Count"
},
"subject": {
"reference": "Patient/pat2"
},
"performer": [
{
"reference": "Organization/1832473e-2fe0-452d-abe9-3cdb9879522f",
"display": "Acme Laboratory, Inc"
}
],
"valueQuantity": {
"value": 444,
"unit": "x10*9/L",
"system": "http://unitsofmeasure.org",
"code": "10*9/L"
},
"referenceRange": [
{
"low": {
"value": 150,
"unit": "x10*9/L",
"system": "http://unitsofmeasure.org",
"code": "10*9/L"
},
"high": {
"value": 450,
"unit": "x10*9/L",
"system": "http://unitsofmeasure.org",
"code": "10*9/L"
}
}
]
}
},
{
"fullUrl": "https://example.com/base/Observation/r7",
"resource": {
"resourceType": "Observation",
"id": "r7",
"text": {
"status": "generated",
"div": "<div xmlns=\"http://www.w3.org/1999/xhtml\"><p><b>Generated Narrative with Details</b></p><p><b>id</b>: r7</p><p><b>status</b>: final</p><p><b>code</b>: White Cell Count <span>(Details : {LOINC code '\''6690-2'\'' = '\''Leukocytes [#/volume] in Blood by Automated count'\'', given as '\''Leukocytes [#/volume] in Blood by Automated count'\''})</span></p><p><b>subject</b>: <a>Patient/pat2</a></p><p><b>performer</b>: <a>Acme Laboratory, Inc</a></p><p><b>value</b>: 4.6 x10*9/L<span> (Details: UCUM code 10*9/L = '\''10*9/L'\'')</span></p><h3>ReferenceRanges</h3><table><tr><td>-</td><td><b>Low</b></td><td><b>High</b></td></tr><tr><td>*</td><td>4.0 x10*9/L<span> (Details: UCUM code 10*9/L = '\''10*9/L'\'')</span></td><td>11.0 x10*9/L<span> (Details: UCUM code 10*9/L = '\''10*9/L'\'')</span></td></tr></table></div>"
},
"status": "final",
"code": {
"coding": [
{
"system": "http://loinc.org",
"code": "6690-2",
"display": "Leukocytes [#/volume] in Blood by Automated count"
}
],
"text": "White Cell Count"
},
"subject": {
"reference": "Patient/pat2"
},
"performer": [
{
"reference": "Organization/1832473e-2fe0-452d-abe9-3cdb9879522f",
"display": "Acme Laboratory, Inc"
}
],
"valueQuantity": {
"value": 4.6,
"unit": "x10*9/L",
"system": "http://unitsofmeasure.org",
"code": "10*9/L"
},
"referenceRange": [
{
"low": {
"value": 4,
"unit": "x10*9/L",
"system": "http://unitsofmeasure.org",
"code": "10*9/L"
},
"high": {
"value": 11,
"unit": "x10*9/L",
"system": "http://unitsofmeasure.org",
"code": "10*9/L"
}
}
]
}
},
{
"fullUrl": "https://example.com/base/Observation/r8",
"resource": {
"resourceType": "Observation",
"id": "r8",
"text": {
"status": "generated",
"div": "<div xmlns=\"http://www.w3.org/1999/xhtml\"><p><b>Generated Narrative with Details</b></p><p><b>id</b>: r8</p><p><b>status</b>: final</p><p><b>code</b>: Neutrophils <span>(Details : {LOINC code '\''770-8'\'' = '\''Neutrophils/100 leukocytes in Blood by Automated count'\'', given as '\''Neutrophils/100 leukocytes in Blood by Automated count'\''})</span></p><p><b>subject</b>: <a>Patient/pat2</a></p><p><b>performer</b>: <a>Acme Laboratory, Inc</a></p><p><b>value</b>: 20 %<span> (Details: UCUM code % = '\''%'\'')</span></p></div>"
},
"status": "final",
"code": {
"coding": [
{
"system": "http://loinc.org",
"code": "770-8",
"display": "Neutrophils/100 leukocytes in Blood by Automated count"
}
],
"text": "Neutrophils"
},
"subject": {
"reference": "Patient/pat2"
},
"performer": [
{
"reference": "Organization/1832473e-2fe0-452d-abe9-3cdb9879522f",
"display": "Acme Laboratory, Inc"
}
],
"valueQuantity": {
"value": 20,
"unit": "%",
"system": "http://unitsofmeasure.org",
"code": "%"
}
}
},
{
"fullUrl": "https://example.com/base/Observation/r9",
"resource": {
"resourceType": "Observation",
"id": "r9",
"text": {
"status": "generated",
"div": "<div xmlns=\"http://www.w3.org/1999/xhtml\"><p><b>Generated Narrative with Details</b></p><p><b>id</b>: r9</p><p><b>status</b>: final</p><p><b>code</b>: Neutrophils <span>(Details : {LOINC code '\''751-8'\'' = '\''Neutrophils [#/volume] in Blood by Automated count'\'', given as '\''Neutrophils [#/volume] in Blood by Automated count'\''})</span></p><p><b>subject</b>: <a>Patient/pat2</a></p><p><b>performer</b>: <a>Acme Laboratory, Inc</a></p><p><b>value</b>: 0.9 x10*9/L<span> (Details: UCUM code 10*9/L = '\''10*9/L'\'')</span></p><p><b>interpretation</b>: Critical low <span>(Details : {http://terminology.hl7.org/CodeSystem/v3-ObservationInterpretation code '\''LL'\'' = '\''Critical low)</span></p><h3>ReferenceRanges</h3><table><tr><td>-</td><td><b>Low</b></td><td><b>High</b></td></tr><tr><td>*</td><td>2.0 x10*9/L<span> (Details: UCUM code 10*9/L = '\''10*9/L'\'')</span></td><td>7.5 x10*9/L<span> (Details: UCUM code 10*9/L = '\''10*9/L'\'')</span></td></tr></table></div>"
},
"status": "final",
"code": {
"coding": [
{
"system": "http://loinc.org",
"code": "751-8",
"display": "Neutrophils [#/volume] in Blood by Automated count"
}
],
"text": "Neutrophils"
},
"subject": {
"reference": "Patient/pat2"
},
"performer": [
{
"reference": "Organization/1832473e-2fe0-452d-abe9-3cdb9879522f",
"display": "Acme Laboratory, Inc"
}
],
"valueQuantity": {
"value": 0.9,
"unit": "x10*9/L",
"system": "http://unitsofmeasure.org",
"code": "10*9/L"
},
"interpretation": [
{
"coding": [
{
"system": "http://terminology.hl7.org/CodeSystem/v3-ObservationInterpretation",
"code": "LL"
}
]
}
],
"referenceRange": [
{
"low": {
"value": 2,
"unit": "x10*9/L",
"system": "http://unitsofmeasure.org",
"code": "10*9/L"
},
"high": {
"value": 7.5,
"unit": "x10*9/L",
"system": "http://unitsofmeasure.org",
"code": "10*9/L"
}
}
]
}
},
{
"fullUrl": "https://example.com/base/Observation/r10",
"resource": {
"resourceType": "Observation",
"id": "r10",
"text": {
"status": "generated",
"div": "<div xmlns=\"http://www.w3.org/1999/xhtml\"><p><b>Generated Narrative with Details</b></p><p><b>id</b>: r10</p><p><b>status</b>: final</p><p><b>code</b>: Lymphocytes <span>(Details : {LOINC code '\''736-9'\'' = '\''Lymphocytes/100 leukocytes in Blood by Automated count'\'', given as '\''Lymphocytes/100 leukocytes in Blood by Automated count'\''})</span></p><p><b>subject</b>: <a>Patient/pat2</a></p><p><b>performer</b>: <a>Acme Laboratory, Inc</a></p><p><b>value</b>: 20 %<span> (Details: UCUM code % = '\''%'\'')</span></p></div>"
},
"status": "final",
"code": {
"coding": [
{
"system": "http://loinc.org",
"code": "736-9",
"display": "Lymphocytes/100 leukocytes in Blood by Automated count"
}
],
"text": "Lymphocytes"
},
"subject": {
"reference": "Patient/pat2"
},
"performer": [
{
"reference": "Organization/1832473e-2fe0-452d-abe9-3cdb9879522f",
"display": "Acme Laboratory, Inc"
}
],
"valueQuantity": {
"value": 20,
"unit": "%",
"system": "http://unitsofmeasure.org",
"code": "%"
}
}
},
{
"fullUrl": "https://example.com/base/Observation/r11",
"resource": {
"resourceType": "Observation",
"id": "r11",
"text": {
"status": "generated",
"div": "<div xmlns=\"http://www.w3.org/1999/xhtml\"><p><b>Generated Narrative with Details</b></p><p><b>id</b>: r11</p><p><b>status</b>: final</p><p><b>code</b>: Lymphocytes <span>(Details : {LOINC code '\''731-0'\'' = '\''Lymphocytes [#/volume] in Blood by Automated count'\'', given as '\''Lymphocytes [#/volume] in Blood by Automated count'\''})</span></p><p><b>subject</b>: <a>Patient/pat2</a></p><p><b>performer</b>: <a>Acme Laboratory, Inc</a></p><p><b>value</b>: 0.9 x10*9/L<span> (Details: UCUM code 10*9/L = '\''10*9/L'\'')</span></p><p><b>interpretation</b>: Low <span>(Details : {http://terminology.hl7.org/CodeSystem/v3-ObservationInterpretation code '\''L'\'' = '\''Low)</span></p><h3>ReferenceRanges</h3><table><tr><td>-</td><td><b>Low</b></td><td><b>High</b></td></tr><tr><td>*</td><td>1.1 x10*9/L<span> (Details: UCUM code 10*9/L = '\''10*9/L'\'')</span></td><td>4.0 x10*9/L<span> (Details: UCUM code 10*9/L = '\''10*9/L'\'')</span></td></tr></table></div>"
},
"status": "final",
"code": {
"coding": [
{
"system": "http://loinc.org",
"code": "731-0",
"display": "Lymphocytes [#/volume] in Blood by Automated count"
}
],
"text": "Lymphocytes"
},
"subject": {
"reference": "Patient/pat2"
},
"performer": [
{
"reference": "Organization/1832473e-2fe0-452d-abe9-3cdb9879522f",
"display": "Acme Laboratory, Inc"
}
],
"valueQuantity": {
"value": 0.9,
"unit": "x10*9/L",
"system": "http://unitsofmeasure.org",
"code": "10*9/L"
},
"interpretation": [
{
"coding": [
{
"system": "http://terminology.hl7.org/CodeSystem/v3-ObservationInterpretation",
"code": "L"
}
]
}
],
"referenceRange": [
{
"low": {
"value": 1.1,
"unit": "x10*9/L",
"system": "http://unitsofmeasure.org",
"code": "10*9/L"
},
"high": {
"value": 4,
"unit": "x10*9/L",
"system": "http://unitsofmeasure.org",
"code": "10*9/L"
}
}
]
}
},
{
"fullUrl": "https://example.com/base/Observation/r12",
"resource": {
"resourceType": "Observation",
"id": "r12",
"text": {
"status": "generated",
"div": "<div xmlns=\"http://www.w3.org/1999/xhtml\"><p><b>Generated Narrative with Details</b></p><p><b>id</b>: r12</p><p><b>status</b>: final</p><p><b>code</b>: Monocytes <span>(Details : {LOINC code '\''5905-5'\'' = '\''Monocytes/100 leukocytes in Blood by Automated count'\'', given as '\''Monocytes/100 leukocytes in Blood by Automated count'\''})</span></p><p><b>subject</b>: <a>Patient/pat2</a></p><p><b>performer</b>: <a>Acme Laboratory, Inc</a></p><p><b>value</b>: 20 %<span> (Details: UCUM code % = '\''%'\'')</span></p></div>"
},
"status": "final",
"code": {
"coding": [
{
"system": "http://loinc.org",
"code": "5905-5",
"display": "Monocytes/100 leukocytes in Blood by Automated count"
}
],
"text": "Monocytes"
},
"subject": {
"reference": "Patient/pat2"
},
"performer": [
{
"reference": "Organization/1832473e-2fe0-452d-abe9-3cdb9879522f",
"display": "Acme Laboratory, Inc"
}
],
"valueQuantity": {
"value": 20,
"unit": "%",
"system": "http://unitsofmeasure.org",
"code": "%"
}
}
},
{
"fullUrl": "https://example.com/base/Observation/r13",
"resource": {
"resourceType": "Observation",
"id": "r13",
"text": {
"status": "generated",
"div": "<div xmlns=\"http://www.w3.org/1999/xhtml\"><p><b>Generated Narrative with Details</b></p><p><b>id</b>: r13</p><p><b>status</b>: final</p><p><b>code</b>: Monocytes <span>(Details : {LOINC code '\''742-7'\'' = '\''Monocytes [#/volume] in Blood by Automated count'\'', given as '\''Monocytes [#/volume] in Blood by Automated count'\''})</span></p><p><b>subject</b>: <a>Patient/pat2</a></p><p><b>performer</b>: <a>Acme Laboratory, Inc</a></p><p><b>value</b>: 0.9 x10*9/L<span> (Details: UCUM code 10*9/L = '\''10*9/L'\'')</span></p><h3>ReferenceRanges</h3><table><tr><td>-</td><td><b>Low</b></td><td><b>High</b></td></tr><tr><td>*</td><td>0.2 x10*9/L<span> (Details: UCUM code 10*9/L = '\''10*9/L'\'')</span></td><td>1.0 x10*9/L<span> (Details: UCUM code 10*9/L = '\''10*9/L'\'')</span></td></tr></table></div>"
},
"status": "final",
"code": {
"coding": [
{
"system": "http://loinc.org",
"code": "742-7",
"display": "Monocytes [#/volume] in Blood by Automated count"
}
],
"text": "Monocytes"
},
"subject": {
"reference": "Patient/pat2"
},
"performer": [
{
"reference": "Organization/1832473e-2fe0-452d-abe9-3cdb9879522f",
"display": "Acme Laboratory, Inc"
}
],
"valueQuantity": {
"value": 0.9,
"unit": "x10*9/L",
"system": "http://unitsofmeasure.org",
"code": "10*9/L"
},
"referenceRange": [
{
"low": {
"value": 0.2,
"unit": "x10*9/L",
"system": "http://unitsofmeasure.org",
"code": "10*9/L"
},
"high": {
"value": 1,
"unit": "x10*9/L",
"system": "http://unitsofmeasure.org",
"code": "10*9/L"
}
}
]
}
},
{
"fullUrl": "https://example.com/base/Observation/r14",
"resource": {
"resourceType": "Observation",
"id": "r14",
"text": {
"status": "generated",
"div": "<div xmlns=\"http://www.w3.org/1999/xhtml\"><p><b>Generated Narrative with Details</b></p><p><b>id</b>: r14</p><p><b>status</b>: final</p><p><b>code</b>: Eosinophils <span>(Details : {LOINC code '\''713-8'\'' = '\''Eosinophils/100 leukocytes in Blood by Automated count'\'', given as '\''Eosinophils/100 leukocytes in Blood by Automated count'\''})</span></p><p><b>subject</b>: <a>Patient/pat2</a></p><p><b>performer</b>: <a>Acme Laboratory, Inc</a></p><p><b>value</b>: 20 %<span> (Details: UCUM code % = '\''%'\'')</span></p></div>"
},
"status": "final",
"code": {
"coding": [
{
"system": "http://loinc.org",
"code": "713-8",
"display": "Eosinophils/100 leukocytes in Blood by Automated count"
}
],
"text": "Eosinophils"
},
"subject": {
"reference": "Patient/pat2"
},
"performer": [
{
"reference": "Organization/1832473e-2fe0-452d-abe9-3cdb9879522f",
"display": "Acme Laboratory, Inc"
}
],
"valueQuantity": {
"value": 20,
"unit": "%",
"system": "http://unitsofmeasure.org",
"code": "%"
}
}
},
{
"fullUrl": "https://example.com/base/Observation/r15",
"resource": {
"resourceType": "Observation",
"id": "r15",
"text": {
"status": "generated",
"div": "<div xmlns=\"http://www.w3.org/1999/xhtml\"><p><b>Generated Narrative with Details</b></p><p><b>id</b>: r15</p><p><b>status</b>: final</p><p><b>code</b>: Eosinophils <span>(Details : {LOINC code '\''711-2'\'' = '\''Eosinophils [#/volume] in Blood by Automated count'\'', given as '\''Eosinophils [#/volume] in Blood by Automated count'\''})</span></p><p><b>subject</b>: <a>Patient/pat2</a></p><p><b>performer</b>: <a>Acme Laboratory, Inc</a></p><p><b>value</b>: 0.92 x10*9/L<span> (Details: UCUM code 10*9/L = '\''10*9/L'\'')</span></p><p><b>interpretation</b>: Critical high <span>(Details : {http://terminology.hl7.org/CodeSystem/v3-ObservationInterpretation code '\''HH'\'' = '\''Critical high)</span></p><h3>ReferenceRanges</h3><table><tr><td>-</td><td><b>Low</b></td><td><b>High</b></td></tr><tr><td>*</td><td>0.04 x10*9/L<span> (Details: UCUM code 10*9/L = '\''10*9/L'\'')</span></td><td>0.40 x10*9/L<span> (Details: UCUM code 10*9/L = '\''10*9/L'\'')</span></td></tr></table></div>"
},
"status": "final",
"code": {
"coding": [
{
"system": "http://loinc.org",
"code": "711-2",
"display": "Eosinophils [#/volume] in Blood by Automated count"
}
],
"text": "Eosinophils"
},
"subject": {
"reference": "Patient/pat2"
},
"performer": [
{
"reference": "Organization/1832473e-2fe0-452d-abe9-3cdb9879522f",
"display": "Acme Laboratory, Inc"
}
],
"valueQuantity": {
"value": 0.92,
"unit": "x10*9/L",
"system": "http://unitsofmeasure.org",
"code": "10*9/L"
},
"interpretation": [
{
"coding": [
{
"system": "http://terminology.hl7.org/CodeSystem/v3-ObservationInterpretation",
"code": "HH"
}
]
}
],
"referenceRange": [
{
"low": {
"value": 0.04,
"unit": "x10*9/L",
"system": "http://unitsofmeasure.org",
"code": "10*9/L"
},
"high": {
"value": 0.4,
"unit": "x10*9/L",
"system": "http://unitsofmeasure.org",
"code": "10*9/L"
}
}
]
}
},
{
"fullUrl": "https://example.com/base/Observation/r16",
"resource": {
"resourceType": "Observation",
"id": "r16",
"text": {
"status": "generated",
"div": "<div xmlns=\"http://www.w3.org/1999/xhtml\"><p><b>Generated Narrative with Details</b></p><p><b>id</b>: r16</p><p><b>status</b>: final</p><p><b>code</b>: Basophils <span>(Details : {LOINC code '\''706-2'\'' = '\''Basophils/100 leukocytes in Blood by Automated count'\'', given as '\''Basophils/100 leukocytes in Blood by Automated count'\''})</span></p><p><b>subject</b>: <a>Patient/pat2</a></p><p><b>performer</b>: <a>Acme Laboratory, Inc</a></p><p><b>value</b>: 20 %<span> (Details: UCUM code % = '\''%'\'')</span></p></div>"
},
"status": "final",
"code": {
"coding": [
{
"system": "http://loinc.org",
"code": "706-2",
"display": "Basophils/100 leukocytes in Blood by Automated count"
}
],
"text": "Basophils"
},
"subject": {
"reference": "Patient/pat2"
},
"performer": [
{
"reference": "Organization/1832473e-2fe0-452d-abe9-3cdb9879522f",
"display": "Acme Laboratory, Inc"
}
],
"valueQuantity": {
"value": 20,
"unit": "%",
"system": "http://unitsofmeasure.org",
"code": "%"
}
}
},
{
"fullUrl": "https://example.com/base/Observation/r17",
"resource": {
"resourceType": "Observation",
"id": "r17",
"text": {
"status": "generated",
"div": "<div xmlns=\"http://www.w3.org/1999/xhtml\"><p><b>Generated Narrative with Details</b></p><p><b>id</b>: r17</p><p><b>status</b>: final</p><p><b>code</b>: Basophils <span>(Details : {LOINC code '\''704-7'\'' = '\''Basophils [#/volume] in Blood by Automated count'\'', given as '\''Basophils [#/volume] in Blood by Automated count'\''})</span></p><p><b>subject</b>: <a>Patient/pat2</a></p><p><b>performer</b>: <a>Acme Laboratory, Inc</a></p><p><b>value</b>: 0.92 x10*9/L<span> (Details: UCUM code 10*9/L = '\''10*9/L'\'')</span></p><h3>ReferenceRanges</h3><table><tr><td>-</td><td><b>High</b></td></tr><tr><td>*</td><td>0.21 x10*9/L<span> (Details: UCUM code 10*9/L = '\''10*9/L'\'')</span></td></tr></table></div>"
},
"status": "final",
"code": {
"coding": [
{
"system": "http://loinc.org",
"code": "704-7",
"display": "Basophils [#/volume] in Blood by Automated count"
}
],
"text": "Basophils"
},
"subject": {
"reference": "Patient/pat2"
},
"performer": [
{
"reference": "Organization/1832473e-2fe0-452d-abe9-3cdb9879522f",
"display": "Acme Laboratory, Inc"
}
],
"valueQuantity": {
"value": 0.92,
"unit": "x10*9/L",
"system": "http://unitsofmeasure.org",
"code": "10*9/L"
},
"referenceRange": [
{
"high": {
"value": 0.21,
"unit": "x10*9/L",
"system": "http://unitsofmeasure.org",
"code": "10*9/L"
}
}
]
}
}
]
}'This is a DiagnosticReport resource
Any combination of letters, numerals, "-" and ".", with a length limit of 64 characters. (This might be an integer, an unprefixed OID, UUID or any other identifier pattern that meets these constraints.) Ids are case-insensitive.
The metadata about a resource. This is content in the resource that is maintained by the infrastructure. Changes to the content might not always be associated with version changes to the resource.
String of characters used to identify a name or a resource
A string which has at least one character and no leading or trailing whitespace and where there is no whitespace other than single spaces in the contents
A human-readable summary of the resource conveying the essential clinical and business information for the resource.
These resources do not have an independent existence apart from the resource that contains them - they cannot be identified independently, and nor can they have their own independent transaction scope.
May be used to represent additional information that is not part of the basic definition of the resource. To make the use of extensions safe and manageable, there is a strict set of governance applied to the definition and use of extensions. Though any implementer can define an extension, there is a set of requirements that SHALL be met as part of the definition of the extension.
May be used to represent additional information that is not part of the basic definition of the resource and that modifies the understanding of the element that contains it and/or the understanding of the containing element's descendants. Usually modifier elements provide negation or qualification. To make the use of extensions safe and manageable, there is a strict set of governance applied to the definition and use of extensions. Though any implementer is allowed to define an extension, there is a set of requirements that SHALL be met as part of the definition of the extension. Applications processing a resource are required to check for modifier extensions.
Modifier extensions SHALL NOT change the meaning of any elements on Resource or DomainResource (including cannot change the meaning of modifierExtension itself).
Identifiers assigned to this report by the performer or other systems.
The status of the diagnostic report.
A code that classifies the clinical discipline, department or diagnostic service that created the report (e.g. cardiology, biochemistry, hematology, MRI). This is used for searching, sorting and display purposes.
A concept that may be defined by a formal reference to a terminology or ontology or may be provided by text.
May be used to represent additional information that is not part of the basic definition of the element. To make the use of extensions safe and manageable, there is a strict set of governance applied to the definition and use of extensions. Though any implementer can define an extension, there is a set of requirements that SHALL be met as part of the definition of the extension.
The time or time-period the observed values are related to. When the subject of the report is a patient, this is usually either the time of the procedure or of specimen collection(s), but very often the source of the date/time is not known, only the date/time itself.
An instant in time - known at least to the second
The diagnostic service that is responsible for issuing the report.
The practitioner or organization that is responsible for the report's conclusions and interpretations.
Details about the specimens on which this diagnostic report is based.
Observations that are part of this diagnostic report.
One or more links to full details of any imaging performed during the diagnostic investigation. Typically, this is imaging performed by DICOM enabled modalities, but this is not required. A fully enabled PACS viewer can use this information to provide views of the source images.
A list of key images associated with this report. The images are generally created during the diagnostic process, and may be directly of the patient, or of treated specimens (i.e. slides of interest).
One or more codes that represent the summary conclusion (interpretation/impression) of the diagnostic report.
{ "resourceType": "Bundle", "id": "101", "type": "collection", "entry": [ { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … } ] }
- Mock server
https://docs.heydonto.com/_mock/apis/fhir/diagnostic/site/{siteId}/fhir/diagnostic-report/{id}
- Sandbox
https://api-staging.heydonto.com/site/{siteId}/fhir/diagnostic-report/{id}
- Production
https://api.heydonto.com/site/{siteId}/fhir/diagnostic-report/{id}
- curl
- JavaScript
- Node.js
- Python
- Java
- C#
- PHP
- Go
- Ruby
- R
- Payload
curl -i -X GET \
'https://docs.heydonto.com/_mock/apis/fhir/diagnostic/site/{siteId}/fhir/diagnostic-report/{id}' \
-H 'Authorization: Bearer <YOUR_JWT_HERE>'This is a DiagnosticReport resource
Any combination of letters, numerals, "-" and ".", with a length limit of 64 characters. (This might be an integer, an unprefixed OID, UUID or any other identifier pattern that meets these constraints.) Ids are case-insensitive.
The metadata about a resource. This is content in the resource that is maintained by the infrastructure. Changes to the content might not always be associated with version changes to the resource.
String of characters used to identify a name or a resource
A string which has at least one character and no leading or trailing whitespace and where there is no whitespace other than single spaces in the contents
A human-readable summary of the resource conveying the essential clinical and business information for the resource.
These resources do not have an independent existence apart from the resource that contains them - they cannot be identified independently, and nor can they have their own independent transaction scope.
May be used to represent additional information that is not part of the basic definition of the resource. To make the use of extensions safe and manageable, there is a strict set of governance applied to the definition and use of extensions. Though any implementer can define an extension, there is a set of requirements that SHALL be met as part of the definition of the extension.
May be used to represent additional information that is not part of the basic definition of the resource and that modifies the understanding of the element that contains it and/or the understanding of the containing element's descendants. Usually modifier elements provide negation or qualification. To make the use of extensions safe and manageable, there is a strict set of governance applied to the definition and use of extensions. Though any implementer is allowed to define an extension, there is a set of requirements that SHALL be met as part of the definition of the extension. Applications processing a resource are required to check for modifier extensions.
Modifier extensions SHALL NOT change the meaning of any elements on Resource or DomainResource (including cannot change the meaning of modifierExtension itself).
Identifiers assigned to this report by the performer or other systems.
The status of the diagnostic report.
A code that classifies the clinical discipline, department or diagnostic service that created the report (e.g. cardiology, biochemistry, hematology, MRI). This is used for searching, sorting and display purposes.
A concept that may be defined by a formal reference to a terminology or ontology or may be provided by text.
May be used to represent additional information that is not part of the basic definition of the element. To make the use of extensions safe and manageable, there is a strict set of governance applied to the definition and use of extensions. Though any implementer can define an extension, there is a set of requirements that SHALL be met as part of the definition of the extension.
The time or time-period the observed values are related to. When the subject of the report is a patient, this is usually either the time of the procedure or of specimen collection(s), but very often the source of the date/time is not known, only the date/time itself.
An instant in time - known at least to the second
The diagnostic service that is responsible for issuing the report.
The practitioner or organization that is responsible for the report's conclusions and interpretations.
Details about the specimens on which this diagnostic report is based.
Observations that are part of this diagnostic report.
One or more links to full details of any imaging performed during the diagnostic investigation. Typically, this is imaging performed by DICOM enabled modalities, but this is not required. A fully enabled PACS viewer can use this information to provide views of the source images.
A list of key images associated with this report. The images are generally created during the diagnostic process, and may be directly of the patient, or of treated specimens (i.e. slides of interest).
One or more codes that represent the summary conclusion (interpretation/impression) of the diagnostic report.
{ "resourceType": "Bundle", "id": "101", "type": "collection", "entry": [ { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … } ] }
This is a DiagnosticReport resource
Any combination of letters, numerals, "-" and ".", with a length limit of 64 characters. (This might be an integer, an unprefixed OID, UUID or any other identifier pattern that meets these constraints.) Ids are case-insensitive.
The metadata about a resource. This is content in the resource that is maintained by the infrastructure. Changes to the content might not always be associated with version changes to the resource.
String of characters used to identify a name or a resource
A string which has at least one character and no leading or trailing whitespace and where there is no whitespace other than single spaces in the contents
A human-readable summary of the resource conveying the essential clinical and business information for the resource.
These resources do not have an independent existence apart from the resource that contains them - they cannot be identified independently, and nor can they have their own independent transaction scope.
May be used to represent additional information that is not part of the basic definition of the resource. To make the use of extensions safe and manageable, there is a strict set of governance applied to the definition and use of extensions. Though any implementer can define an extension, there is a set of requirements that SHALL be met as part of the definition of the extension.
May be used to represent additional information that is not part of the basic definition of the resource and that modifies the understanding of the element that contains it and/or the understanding of the containing element's descendants. Usually modifier elements provide negation or qualification. To make the use of extensions safe and manageable, there is a strict set of governance applied to the definition and use of extensions. Though any implementer is allowed to define an extension, there is a set of requirements that SHALL be met as part of the definition of the extension. Applications processing a resource are required to check for modifier extensions.
Modifier extensions SHALL NOT change the meaning of any elements on Resource or DomainResource (including cannot change the meaning of modifierExtension itself).
Identifiers assigned to this report by the performer or other systems.
The status of the diagnostic report.
A code that classifies the clinical discipline, department or diagnostic service that created the report (e.g. cardiology, biochemistry, hematology, MRI). This is used for searching, sorting and display purposes.
A concept that may be defined by a formal reference to a terminology or ontology or may be provided by text.
May be used to represent additional information that is not part of the basic definition of the element. To make the use of extensions safe and manageable, there is a strict set of governance applied to the definition and use of extensions. Though any implementer can define an extension, there is a set of requirements that SHALL be met as part of the definition of the extension.
The time or time-period the observed values are related to. When the subject of the report is a patient, this is usually either the time of the procedure or of specimen collection(s), but very often the source of the date/time is not known, only the date/time itself.
An instant in time - known at least to the second
The diagnostic service that is responsible for issuing the report.
The practitioner or organization that is responsible for the report's conclusions and interpretations.
Details about the specimens on which this diagnostic report is based.
Observations that are part of this diagnostic report.
One or more links to full details of any imaging performed during the diagnostic investigation. Typically, this is imaging performed by DICOM enabled modalities, but this is not required. A fully enabled PACS viewer can use this information to provide views of the source images.
A list of key images associated with this report. The images are generally created during the diagnostic process, and may be directly of the patient, or of treated specimens (i.e. slides of interest).
One or more codes that represent the summary conclusion (interpretation/impression) of the diagnostic report.
- Mock server
https://docs.heydonto.com/_mock/apis/fhir/diagnostic/site/{siteId}/fhir/diagnostic-report/{id}
- Sandbox
https://api-staging.heydonto.com/site/{siteId}/fhir/diagnostic-report/{id}
- Production
https://api.heydonto.com/site/{siteId}/fhir/diagnostic-report/{id}
- curl
- JavaScript
- Node.js
- Python
- Java
- C#
- PHP
- Go
- Ruby
- R
- Payload
curl -i -X PUT \
'https://docs.heydonto.com/_mock/apis/fhir/diagnostic/site/{siteId}/fhir/diagnostic-report/{id}' \
-H 'Authorization: Bearer <YOUR_JWT_HERE>' \
-H 'Content-Type: application/json' \
-d '{
"resourceType": "Bundle",
"id": "101",
"type": "collection",
"entry": [
{
"fullUrl": "https://example.com/base/DiagnosticReport/101",
"resource": {
"resourceType": "DiagnosticReport",
"id": "101",
"meta": {
"tag": [
{
"system": "http://example.org/fhir/CodeSystem/workflow-codes",
"code": "01",
"display": "Needs Review"
}
]
},
"text": {
"status": "generated",
"div": "<div xmlns=\"http://www.w3.org/1999/xhtml\">\n\t\t\t\t\t\t<h3>CBC Report for Wile. E. COYOTE (MRN: 23453) issued 3-Mar 2011 11:45</h3>\n\t\t\t\t\t\t<pre>\nTest Units Value Reference Range\nHaemoglobin g/L 176 135 - 180\nRed Cell Count x10*12/L 5.9 4.2 - 6.0\nHaematocrit 0.55+ 0.38 - 0.52\nMean Cell Volume fL 99+ 80 - 98\nMean Cell Haemoglobin pg 36+ 27 - 35\nPlatelet Count x10*9/L 444 150 - 450\nWhite Cell Count x10*9/L 4.6 4.0 - 11.0\nNeutrophils % 20\nNeutrophils x10*9/L 0.9--- 2.0 - 7.5\nLymphocytes % 20\nLymphocytes x10*9/L 0.9- 1.1 - 4.0\nMonocytes % 20\nMonocytes x10*9/L 0.9 0.2 - 1.0\nEosinophils % 20\nEosinophils x10*9/L 0.92++ 0.04 - 0.40\nBasophils % 20\nBasophils x10*9/L 0.92+++ <0.21\n </pre>\n\t\t\t\t\t\t<p>Acme Laboratory, Inc signed: Dr Pete Pathologist</p>\n\t\t\t\t\t</div>"
},
"identifier": [
{
"system": "http://acme.com/lab/reports",
"value": "5234342"
}
],
"status": "final",
"category": [
{
"coding": [
{
"system": "http://terminology.hl7.org/CodeSystem/v2-0074",
"code": "HM"
}
]
}
],
"code": {
"coding": [
{
"system": "http://loinc.org",
"code": "58410-2",
"display": "Complete blood count (hemogram) panel - Blood by Automated count"
},
{
"code": "CBC",
"display": "MASTER FULL BLOOD COUNT"
}
],
"text": "Complete Blood Count"
},
"subject": {
"reference": "Patient/pat2"
},
"encounter": {
"reference": "Encounter/example"
},
"effectiveDateTime": "2011-03-04T08:30:00+11:00",
"issued": "2011-03-04T11:45:33+11:00",
"performer": [
{
"reference": "Organization/1832473e-2fe0-452d-abe9-3cdb9879522f",
"display": "Acme Laboratory, Inc"
}
],
"result": [
{
"reference": "Observation/r1"
},
{
"reference": "Observation/r2"
},
{
"reference": "Observation/r3"
},
{
"reference": "Observation/r4"
},
{
"reference": "Observation/r5"
},
{
"reference": "Observation/r6"
},
{
"reference": "Observation/r7"
},
{
"reference": "Observation/r8"
},
{
"reference": "Observation/r9"
},
{
"reference": "Observation/r10"
},
{
"reference": "Observation/r11"
},
{
"reference": "Observation/r12"
},
{
"reference": "Observation/r13"
},
{
"reference": "Observation/r14"
},
{
"reference": "Observation/r15"
},
{
"reference": "Observation/r16"
},
{
"reference": "Observation/r17"
}
],
"presentedForm": [
{
"contentType": "application/pdf",
"language": "en-AU",
"data": 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",
"title": "HTML Report"
}
]
}
},
{
"fullUrl": "https://example.com/base/Observation/r1",
"resource": {
"resourceType": "Observation",
"id": "r1",
"text": {
"status": "generated",
"div": "<div xmlns=\"http://www.w3.org/1999/xhtml\"><p><b>Generated Narrative with Details</b></p><p><b>id</b>: r1</p><p><b>status</b>: final</p><p><b>code</b>: Haemoglobin <span>(Details : {LOINC code '\''718-7'\'' = '\''Hemoglobin [Mass/volume] in Blood'\'', given as '\''Hemoglobin [Mass/volume] in Blood'\''})</span></p><p><b>subject</b>: <a>Patient/pat2</a></p><p><b>performer</b>: <a>Acme Laboratory, Inc</a></p><p><b>value</b>: 176 g/L<span> (Details: UCUM code g/L = '\''g/L'\'')</span></p><h3>ReferenceRanges</h3><table><tr><td>-</td><td><b>Low</b></td><td><b>High</b></td></tr><tr><td>*</td><td>135 g/L<span> (Details: UCUM code g/L = '\''g/L'\'')</span></td><td>180 g/L<span> (Details: UCUM code g/L = '\''g/L'\'')</span></td></tr></table></div>"
},
"status": "final",
"code": {
"coding": [
{
"system": "http://loinc.org",
"code": "718-7",
"display": "Hemoglobin [Mass/volume] in Blood"
}
],
"text": "Haemoglobin"
},
"subject": {
"reference": "Patient/pat2"
},
"performer": [
{
"reference": "Organization/1832473e-2fe0-452d-abe9-3cdb9879522f",
"display": "Acme Laboratory, Inc"
}
],
"valueQuantity": {
"value": 176,
"unit": "g/L",
"system": "http://unitsofmeasure.org",
"code": "g/L"
},
"referenceRange": [
{
"low": {
"value": 135,
"unit": "g/L",
"system": "http://unitsofmeasure.org",
"code": "g/L"
},
"high": {
"value": 180,
"unit": "g/L",
"system": "http://unitsofmeasure.org",
"code": "g/L"
}
}
]
}
},
{
"fullUrl": "https://example.com/base/Observation/r2",
"resource": {
"resourceType": "Observation",
"id": "r2",
"text": {
"status": "generated",
"div": "<div xmlns=\"http://www.w3.org/1999/xhtml\"><p><b>Generated Narrative with Details</b></p><p><b>id</b>: r2</p><p><b>status</b>: final</p><p><b>code</b>: Red Cell Count <span>(Details : {LOINC code '\''789-8'\'' = '\''Erythrocytes [#/volume] in Blood by Automated count'\'', given as '\''Erythrocytes [#/volume] in Blood by Automated count'\''})</span></p><p><b>subject</b>: <a>Patient/pat2</a></p><p><b>performer</b>: <a>Acme Laboratory, Inc</a></p><p><b>value</b>: 5.9 x10*12/L<span> (Details: UCUM code 10*12/L = '\''10*12/L'\'')</span></p><h3>ReferenceRanges</h3><table><tr><td>-</td><td><b>Low</b></td><td><b>High</b></td></tr><tr><td>*</td><td>4.2 x10*12/L<span> (Details: UCUM code 10*12/L = '\''10*12/L'\'')</span></td><td>6.0 x10*12/L<span> (Details: UCUM code 10*12/L = '\''10*12/L'\'')</span></td></tr></table></div>"
},
"status": "final",
"code": {
"coding": [
{
"system": "http://loinc.org",
"code": "789-8",
"display": "Erythrocytes [#/volume] in Blood by Automated count"
}
],
"text": "Red Cell Count"
},
"subject": {
"reference": "Patient/pat2"
},
"performer": [
{
"reference": "Organization/1832473e-2fe0-452d-abe9-3cdb9879522f",
"display": "Acme Laboratory, Inc"
}
],
"valueQuantity": {
"value": 5.9,
"unit": "x10*12/L",
"system": "http://unitsofmeasure.org",
"code": "10*12/L"
},
"referenceRange": [
{
"low": {
"value": 4.2,
"unit": "x10*12/L",
"system": "http://unitsofmeasure.org",
"code": "10*12/L"
},
"high": {
"value": 6,
"unit": "x10*12/L",
"system": "http://unitsofmeasure.org",
"code": "10*12/L"
}
}
]
}
},
{
"fullUrl": "https://example.com/base/Observation/r3",
"resource": {
"resourceType": "Observation",
"id": "r3",
"text": {
"status": "generated",
"div": "<div xmlns=\"http://www.w3.org/1999/xhtml\"><p><b>Generated Narrative with Details</b></p><p><b>id</b>: r3</p><p><b>status</b>: final</p><p><b>code</b>: Haematocrit <span>(Details : {LOINC code '\''4544-3'\'' = '\''Hematocrit [Volume Fraction] of Blood by Automated count'\'', given as '\''Hematocrit [Volume Fraction] of Blood by Automated count'\''})</span></p><p><b>subject</b>: <a>Patient/pat2</a></p><p><b>performer</b>: <a>Acme Laboratory, Inc</a></p><p><b>value</b>: 55 %</p><p><b>interpretation</b>: High <span>(Details : {http://terminology.hl7.org/CodeSystem/v3-ObservationInterpretation code '\''H'\'' = '\''High)</span></p><h3>ReferenceRanges</h3><table><tr><td>-</td><td><b>Low</b></td><td><b>High</b></td></tr><tr><td>*</td><td>38 %</td><td>52 %</td></tr></table></div>"
},
"status": "final",
"code": {
"coding": [
{
"system": "http://loinc.org",
"code": "4544-3",
"display": "Hematocrit [Volume Fraction] of Blood by Automated count"
}
],
"text": "Haematocrit"
},
"subject": {
"reference": "Patient/pat2"
},
"performer": [
{
"reference": "Organization/1832473e-2fe0-452d-abe9-3cdb9879522f",
"display": "Acme Laboratory, Inc"
}
],
"valueQuantity": {
"value": 55,
"unit": "%"
},
"interpretation": [
{
"coding": [
{
"system": "http://terminology.hl7.org/CodeSystem/v3-ObservationInterpretation",
"code": "H"
}
]
}
],
"referenceRange": [
{
"low": {
"value": 38,
"unit": "%"
},
"high": {
"value": 52,
"unit": "%"
}
}
]
}
},
{
"fullUrl": "https://example.com/base/Observation/r4",
"resource": {
"resourceType": "Observation",
"id": "r4",
"text": {
"status": "generated",
"div": "<div xmlns=\"http://www.w3.org/1999/xhtml\"><p><b>Generated Narrative with Details</b></p><p><b>id</b>: r4</p><p><b>status</b>: final</p><p><b>code</b>: Mean Cell Volume <span>(Details : {LOINC code '\''787-2'\'' = '\''Erythrocyte mean corpuscular volume [Entitic volume] by Automated count'\'', given as '\''Erythrocyte mean corpuscular volume [Entitic volume] by Automated count'\''})</span></p><p><b>subject</b>: <a>Patient/pat2</a></p><p><b>performer</b>: <a>Acme Laboratory, Inc</a></p><p><b>value</b>: 99 fL<span> (Details: UCUM code fL = '\''fL'\'')</span></p><p><b>interpretation</b>: High <span>(Details : {http://terminology.hl7.org/CodeSystem/v3-ObservationInterpretation code '\''H'\'' = '\''High)</span></p><h3>ReferenceRanges</h3><table><tr><td>-</td><td><b>Low</b></td><td><b>High</b></td></tr><tr><td>*</td><td>80 fL<span> (Details: UCUM code fL = '\''fL'\'')</span></td><td>98 fL<span> (Details: UCUM code fL = '\''fL'\'')</span></td></tr></table></div>"
},
"status": "final",
"code": {
"coding": [
{
"system": "http://loinc.org",
"code": "787-2",
"display": "Erythrocyte mean corpuscular volume [Entitic volume] by Automated count"
}
],
"text": "Mean Cell Volume"
},
"subject": {
"reference": "Patient/pat2"
},
"performer": [
{
"reference": "Organization/1832473e-2fe0-452d-abe9-3cdb9879522f",
"display": "Acme Laboratory, Inc"
}
],
"valueQuantity": {
"value": 99,
"unit": "fL",
"system": "http://unitsofmeasure.org",
"code": "fL"
},
"interpretation": [
{
"coding": [
{
"system": "http://terminology.hl7.org/CodeSystem/v3-ObservationInterpretation",
"code": "H"
}
]
}
],
"referenceRange": [
{
"low": {
"value": 80,
"unit": "fL",
"system": "http://unitsofmeasure.org",
"code": "fL"
},
"high": {
"value": 98,
"unit": "fL",
"system": "http://unitsofmeasure.org",
"code": "fL"
}
}
]
}
},
{
"fullUrl": "https://example.com/base/Observation/r5",
"resource": {
"resourceType": "Observation",
"id": "r5",
"text": {
"status": "generated",
"div": "<div xmlns=\"http://www.w3.org/1999/xhtml\"><p><b>Generated Narrative with Details</b></p><p><b>id</b>: r5</p><p><b>status</b>: final</p><p><b>code</b>: Mean Cell Haemoglobin <span>(Details : {LOINC code '\''785-6'\'' = '\''Erythrocyte mean corpuscular hemoglobin [Entitic mass] by Automated count'\'', given as '\''Erythrocyte mean corpuscular hemoglobin [Entitic mass] by Automated count'\''})</span></p><p><b>subject</b>: <a>Patient/pat2</a></p><p><b>performer</b>: <a>Acme Laboratory, Inc</a></p><p><b>value</b>: 36 pg<span> (Details: UCUM code pg = '\''pg'\'')</span></p><p><b>interpretation</b>: High <span>(Details : {http://terminology.hl7.org/CodeSystem/v3-ObservationInterpretation code '\''H'\'' = '\''High)</span></p><h3>ReferenceRanges</h3><table><tr><td>-</td><td><b>Low</b></td><td><b>High</b></td></tr><tr><td>*</td><td>27 pg<span> (Details: UCUM code pg = '\''pg'\'')</span></td><td>35 pg<span> (Details: UCUM code pg = '\''pg'\'')</span></td></tr></table></div>"
},
"status": "final",
"code": {
"coding": [
{
"system": "http://loinc.org",
"code": "785-6",
"display": "Erythrocyte mean corpuscular hemoglobin [Entitic mass] by Automated count"
}
],
"text": "Mean Cell Haemoglobin"
},
"subject": {
"reference": "Patient/pat2"
},
"performer": [
{
"reference": "Organization/1832473e-2fe0-452d-abe9-3cdb9879522f",
"display": "Acme Laboratory, Inc"
}
],
"valueQuantity": {
"value": 36,
"unit": "pg",
"system": "http://unitsofmeasure.org",
"code": "pg"
},
"interpretation": [
{
"coding": [
{
"system": "http://terminology.hl7.org/CodeSystem/v3-ObservationInterpretation",
"code": "H"
}
]
}
],
"referenceRange": [
{
"low": {
"value": 27,
"unit": "pg",
"system": "http://unitsofmeasure.org",
"code": "pg"
},
"high": {
"value": 35,
"unit": "pg",
"system": "http://unitsofmeasure.org",
"code": "pg"
}
}
]
}
},
{
"fullUrl": "https://example.com/base/Observation/r6",
"resource": {
"resourceType": "Observation",
"id": "r6",
"text": {
"status": "generated",
"div": "<div xmlns=\"http://www.w3.org/1999/xhtml\"><p><b>Generated Narrative with Details</b></p><p><b>id</b>: r6</p><p><b>status</b>: final</p><p><b>code</b>: Platelet Count <span>(Details : {LOINC code '\''777-3'\'' = '\''Platelets [#/volume] in Blood by Automated count'\'', given as '\''Platelets [#/volume] in Blood by Automated count'\''})</span></p><p><b>subject</b>: <a>Patient/pat2</a></p><p><b>performer</b>: <a>Acme Laboratory, Inc</a></p><p><b>value</b>: 444 x10*9/L<span> (Details: UCUM code 10*9/L = '\''10*9/L'\'')</span></p><h3>ReferenceRanges</h3><table><tr><td>-</td><td><b>Low</b></td><td><b>High</b></td></tr><tr><td>*</td><td>150 x10*9/L<span> (Details: UCUM code 10*9/L = '\''10*9/L'\'')</span></td><td>450 x10*9/L<span> (Details: UCUM code 10*9/L = '\''10*9/L'\'')</span></td></tr></table></div>"
},
"status": "final",
"code": {
"coding": [
{
"system": "http://loinc.org",
"code": "777-3",
"display": "Platelets [#/volume] in Blood by Automated count"
}
],
"text": "Platelet Count"
},
"subject": {
"reference": "Patient/pat2"
},
"performer": [
{
"reference": "Organization/1832473e-2fe0-452d-abe9-3cdb9879522f",
"display": "Acme Laboratory, Inc"
}
],
"valueQuantity": {
"value": 444,
"unit": "x10*9/L",
"system": "http://unitsofmeasure.org",
"code": "10*9/L"
},
"referenceRange": [
{
"low": {
"value": 150,
"unit": "x10*9/L",
"system": "http://unitsofmeasure.org",
"code": "10*9/L"
},
"high": {
"value": 450,
"unit": "x10*9/L",
"system": "http://unitsofmeasure.org",
"code": "10*9/L"
}
}
]
}
},
{
"fullUrl": "https://example.com/base/Observation/r7",
"resource": {
"resourceType": "Observation",
"id": "r7",
"text": {
"status": "generated",
"div": "<div xmlns=\"http://www.w3.org/1999/xhtml\"><p><b>Generated Narrative with Details</b></p><p><b>id</b>: r7</p><p><b>status</b>: final</p><p><b>code</b>: White Cell Count <span>(Details : {LOINC code '\''6690-2'\'' = '\''Leukocytes [#/volume] in Blood by Automated count'\'', given as '\''Leukocytes [#/volume] in Blood by Automated count'\''})</span></p><p><b>subject</b>: <a>Patient/pat2</a></p><p><b>performer</b>: <a>Acme Laboratory, Inc</a></p><p><b>value</b>: 4.6 x10*9/L<span> (Details: UCUM code 10*9/L = '\''10*9/L'\'')</span></p><h3>ReferenceRanges</h3><table><tr><td>-</td><td><b>Low</b></td><td><b>High</b></td></tr><tr><td>*</td><td>4.0 x10*9/L<span> (Details: UCUM code 10*9/L = '\''10*9/L'\'')</span></td><td>11.0 x10*9/L<span> (Details: UCUM code 10*9/L = '\''10*9/L'\'')</span></td></tr></table></div>"
},
"status": "final",
"code": {
"coding": [
{
"system": "http://loinc.org",
"code": "6690-2",
"display": "Leukocytes [#/volume] in Blood by Automated count"
}
],
"text": "White Cell Count"
},
"subject": {
"reference": "Patient/pat2"
},
"performer": [
{
"reference": "Organization/1832473e-2fe0-452d-abe9-3cdb9879522f",
"display": "Acme Laboratory, Inc"
}
],
"valueQuantity": {
"value": 4.6,
"unit": "x10*9/L",
"system": "http://unitsofmeasure.org",
"code": "10*9/L"
},
"referenceRange": [
{
"low": {
"value": 4,
"unit": "x10*9/L",
"system": "http://unitsofmeasure.org",
"code": "10*9/L"
},
"high": {
"value": 11,
"unit": "x10*9/L",
"system": "http://unitsofmeasure.org",
"code": "10*9/L"
}
}
]
}
},
{
"fullUrl": "https://example.com/base/Observation/r8",
"resource": {
"resourceType": "Observation",
"id": "r8",
"text": {
"status": "generated",
"div": "<div xmlns=\"http://www.w3.org/1999/xhtml\"><p><b>Generated Narrative with Details</b></p><p><b>id</b>: r8</p><p><b>status</b>: final</p><p><b>code</b>: Neutrophils <span>(Details : {LOINC code '\''770-8'\'' = '\''Neutrophils/100 leukocytes in Blood by Automated count'\'', given as '\''Neutrophils/100 leukocytes in Blood by Automated count'\''})</span></p><p><b>subject</b>: <a>Patient/pat2</a></p><p><b>performer</b>: <a>Acme Laboratory, Inc</a></p><p><b>value</b>: 20 %<span> (Details: UCUM code % = '\''%'\'')</span></p></div>"
},
"status": "final",
"code": {
"coding": [
{
"system": "http://loinc.org",
"code": "770-8",
"display": "Neutrophils/100 leukocytes in Blood by Automated count"
}
],
"text": "Neutrophils"
},
"subject": {
"reference": "Patient/pat2"
},
"performer": [
{
"reference": "Organization/1832473e-2fe0-452d-abe9-3cdb9879522f",
"display": "Acme Laboratory, Inc"
}
],
"valueQuantity": {
"value": 20,
"unit": "%",
"system": "http://unitsofmeasure.org",
"code": "%"
}
}
},
{
"fullUrl": "https://example.com/base/Observation/r9",
"resource": {
"resourceType": "Observation",
"id": "r9",
"text": {
"status": "generated",
"div": "<div xmlns=\"http://www.w3.org/1999/xhtml\"><p><b>Generated Narrative with Details</b></p><p><b>id</b>: r9</p><p><b>status</b>: final</p><p><b>code</b>: Neutrophils <span>(Details : {LOINC code '\''751-8'\'' = '\''Neutrophils [#/volume] in Blood by Automated count'\'', given as '\''Neutrophils [#/volume] in Blood by Automated count'\''})</span></p><p><b>subject</b>: <a>Patient/pat2</a></p><p><b>performer</b>: <a>Acme Laboratory, Inc</a></p><p><b>value</b>: 0.9 x10*9/L<span> (Details: UCUM code 10*9/L = '\''10*9/L'\'')</span></p><p><b>interpretation</b>: Critical low <span>(Details : {http://terminology.hl7.org/CodeSystem/v3-ObservationInterpretation code '\''LL'\'' = '\''Critical low)</span></p><h3>ReferenceRanges</h3><table><tr><td>-</td><td><b>Low</b></td><td><b>High</b></td></tr><tr><td>*</td><td>2.0 x10*9/L<span> (Details: UCUM code 10*9/L = '\''10*9/L'\'')</span></td><td>7.5 x10*9/L<span> (Details: UCUM code 10*9/L = '\''10*9/L'\'')</span></td></tr></table></div>"
},
"status": "final",
"code": {
"coding": [
{
"system": "http://loinc.org",
"code": "751-8",
"display": "Neutrophils [#/volume] in Blood by Automated count"
}
],
"text": "Neutrophils"
},
"subject": {
"reference": "Patient/pat2"
},
"performer": [
{
"reference": "Organization/1832473e-2fe0-452d-abe9-3cdb9879522f",
"display": "Acme Laboratory, Inc"
}
],
"valueQuantity": {
"value": 0.9,
"unit": "x10*9/L",
"system": "http://unitsofmeasure.org",
"code": "10*9/L"
},
"interpretation": [
{
"coding": [
{
"system": "http://terminology.hl7.org/CodeSystem/v3-ObservationInterpretation",
"code": "LL"
}
]
}
],
"referenceRange": [
{
"low": {
"value": 2,
"unit": "x10*9/L",
"system": "http://unitsofmeasure.org",
"code": "10*9/L"
},
"high": {
"value": 7.5,
"unit": "x10*9/L",
"system": "http://unitsofmeasure.org",
"code": "10*9/L"
}
}
]
}
},
{
"fullUrl": "https://example.com/base/Observation/r10",
"resource": {
"resourceType": "Observation",
"id": "r10",
"text": {
"status": "generated",
"div": "<div xmlns=\"http://www.w3.org/1999/xhtml\"><p><b>Generated Narrative with Details</b></p><p><b>id</b>: r10</p><p><b>status</b>: final</p><p><b>code</b>: Lymphocytes <span>(Details : {LOINC code '\''736-9'\'' = '\''Lymphocytes/100 leukocytes in Blood by Automated count'\'', given as '\''Lymphocytes/100 leukocytes in Blood by Automated count'\''})</span></p><p><b>subject</b>: <a>Patient/pat2</a></p><p><b>performer</b>: <a>Acme Laboratory, Inc</a></p><p><b>value</b>: 20 %<span> (Details: UCUM code % = '\''%'\'')</span></p></div>"
},
"status": "final",
"code": {
"coding": [
{
"system": "http://loinc.org",
"code": "736-9",
"display": "Lymphocytes/100 leukocytes in Blood by Automated count"
}
],
"text": "Lymphocytes"
},
"subject": {
"reference": "Patient/pat2"
},
"performer": [
{
"reference": "Organization/1832473e-2fe0-452d-abe9-3cdb9879522f",
"display": "Acme Laboratory, Inc"
}
],
"valueQuantity": {
"value": 20,
"unit": "%",
"system": "http://unitsofmeasure.org",
"code": "%"
}
}
},
{
"fullUrl": "https://example.com/base/Observation/r11",
"resource": {
"resourceType": "Observation",
"id": "r11",
"text": {
"status": "generated",
"div": "<div xmlns=\"http://www.w3.org/1999/xhtml\"><p><b>Generated Narrative with Details</b></p><p><b>id</b>: r11</p><p><b>status</b>: final</p><p><b>code</b>: Lymphocytes <span>(Details : {LOINC code '\''731-0'\'' = '\''Lymphocytes [#/volume] in Blood by Automated count'\'', given as '\''Lymphocytes [#/volume] in Blood by Automated count'\''})</span></p><p><b>subject</b>: <a>Patient/pat2</a></p><p><b>performer</b>: <a>Acme Laboratory, Inc</a></p><p><b>value</b>: 0.9 x10*9/L<span> (Details: UCUM code 10*9/L = '\''10*9/L'\'')</span></p><p><b>interpretation</b>: Low <span>(Details : {http://terminology.hl7.org/CodeSystem/v3-ObservationInterpretation code '\''L'\'' = '\''Low)</span></p><h3>ReferenceRanges</h3><table><tr><td>-</td><td><b>Low</b></td><td><b>High</b></td></tr><tr><td>*</td><td>1.1 x10*9/L<span> (Details: UCUM code 10*9/L = '\''10*9/L'\'')</span></td><td>4.0 x10*9/L<span> (Details: UCUM code 10*9/L = '\''10*9/L'\'')</span></td></tr></table></div>"
},
"status": "final",
"code": {
"coding": [
{
"system": "http://loinc.org",
"code": "731-0",
"display": "Lymphocytes [#/volume] in Blood by Automated count"
}
],
"text": "Lymphocytes"
},
"subject": {
"reference": "Patient/pat2"
},
"performer": [
{
"reference": "Organization/1832473e-2fe0-452d-abe9-3cdb9879522f",
"display": "Acme Laboratory, Inc"
}
],
"valueQuantity": {
"value": 0.9,
"unit": "x10*9/L",
"system": "http://unitsofmeasure.org",
"code": "10*9/L"
},
"interpretation": [
{
"coding": [
{
"system": "http://terminology.hl7.org/CodeSystem/v3-ObservationInterpretation",
"code": "L"
}
]
}
],
"referenceRange": [
{
"low": {
"value": 1.1,
"unit": "x10*9/L",
"system": "http://unitsofmeasure.org",
"code": "10*9/L"
},
"high": {
"value": 4,
"unit": "x10*9/L",
"system": "http://unitsofmeasure.org",
"code": "10*9/L"
}
}
]
}
},
{
"fullUrl": "https://example.com/base/Observation/r12",
"resource": {
"resourceType": "Observation",
"id": "r12",
"text": {
"status": "generated",
"div": "<div xmlns=\"http://www.w3.org/1999/xhtml\"><p><b>Generated Narrative with Details</b></p><p><b>id</b>: r12</p><p><b>status</b>: final</p><p><b>code</b>: Monocytes <span>(Details : {LOINC code '\''5905-5'\'' = '\''Monocytes/100 leukocytes in Blood by Automated count'\'', given as '\''Monocytes/100 leukocytes in Blood by Automated count'\''})</span></p><p><b>subject</b>: <a>Patient/pat2</a></p><p><b>performer</b>: <a>Acme Laboratory, Inc</a></p><p><b>value</b>: 20 %<span> (Details: UCUM code % = '\''%'\'')</span></p></div>"
},
"status": "final",
"code": {
"coding": [
{
"system": "http://loinc.org",
"code": "5905-5",
"display": "Monocytes/100 leukocytes in Blood by Automated count"
}
],
"text": "Monocytes"
},
"subject": {
"reference": "Patient/pat2"
},
"performer": [
{
"reference": "Organization/1832473e-2fe0-452d-abe9-3cdb9879522f",
"display": "Acme Laboratory, Inc"
}
],
"valueQuantity": {
"value": 20,
"unit": "%",
"system": "http://unitsofmeasure.org",
"code": "%"
}
}
},
{
"fullUrl": "https://example.com/base/Observation/r13",
"resource": {
"resourceType": "Observation",
"id": "r13",
"text": {
"status": "generated",
"div": "<div xmlns=\"http://www.w3.org/1999/xhtml\"><p><b>Generated Narrative with Details</b></p><p><b>id</b>: r13</p><p><b>status</b>: final</p><p><b>code</b>: Monocytes <span>(Details : {LOINC code '\''742-7'\'' = '\''Monocytes [#/volume] in Blood by Automated count'\'', given as '\''Monocytes [#/volume] in Blood by Automated count'\''})</span></p><p><b>subject</b>: <a>Patient/pat2</a></p><p><b>performer</b>: <a>Acme Laboratory, Inc</a></p><p><b>value</b>: 0.9 x10*9/L<span> (Details: UCUM code 10*9/L = '\''10*9/L'\'')</span></p><h3>ReferenceRanges</h3><table><tr><td>-</td><td><b>Low</b></td><td><b>High</b></td></tr><tr><td>*</td><td>0.2 x10*9/L<span> (Details: UCUM code 10*9/L = '\''10*9/L'\'')</span></td><td>1.0 x10*9/L<span> (Details: UCUM code 10*9/L = '\''10*9/L'\'')</span></td></tr></table></div>"
},
"status": "final",
"code": {
"coding": [
{
"system": "http://loinc.org",
"code": "742-7",
"display": "Monocytes [#/volume] in Blood by Automated count"
}
],
"text": "Monocytes"
},
"subject": {
"reference": "Patient/pat2"
},
"performer": [
{
"reference": "Organization/1832473e-2fe0-452d-abe9-3cdb9879522f",
"display": "Acme Laboratory, Inc"
}
],
"valueQuantity": {
"value": 0.9,
"unit": "x10*9/L",
"system": "http://unitsofmeasure.org",
"code": "10*9/L"
},
"referenceRange": [
{
"low": {
"value": 0.2,
"unit": "x10*9/L",
"system": "http://unitsofmeasure.org",
"code": "10*9/L"
},
"high": {
"value": 1,
"unit": "x10*9/L",
"system": "http://unitsofmeasure.org",
"code": "10*9/L"
}
}
]
}
},
{
"fullUrl": "https://example.com/base/Observation/r14",
"resource": {
"resourceType": "Observation",
"id": "r14",
"text": {
"status": "generated",
"div": "<div xmlns=\"http://www.w3.org/1999/xhtml\"><p><b>Generated Narrative with Details</b></p><p><b>id</b>: r14</p><p><b>status</b>: final</p><p><b>code</b>: Eosinophils <span>(Details : {LOINC code '\''713-8'\'' = '\''Eosinophils/100 leukocytes in Blood by Automated count'\'', given as '\''Eosinophils/100 leukocytes in Blood by Automated count'\''})</span></p><p><b>subject</b>: <a>Patient/pat2</a></p><p><b>performer</b>: <a>Acme Laboratory, Inc</a></p><p><b>value</b>: 20 %<span> (Details: UCUM code % = '\''%'\'')</span></p></div>"
},
"status": "final",
"code": {
"coding": [
{
"system": "http://loinc.org",
"code": "713-8",
"display": "Eosinophils/100 leukocytes in Blood by Automated count"
}
],
"text": "Eosinophils"
},
"subject": {
"reference": "Patient/pat2"
},
"performer": [
{
"reference": "Organization/1832473e-2fe0-452d-abe9-3cdb9879522f",
"display": "Acme Laboratory, Inc"
}
],
"valueQuantity": {
"value": 20,
"unit": "%",
"system": "http://unitsofmeasure.org",
"code": "%"
}
}
},
{
"fullUrl": "https://example.com/base/Observation/r15",
"resource": {
"resourceType": "Observation",
"id": "r15",
"text": {
"status": "generated",
"div": "<div xmlns=\"http://www.w3.org/1999/xhtml\"><p><b>Generated Narrative with Details</b></p><p><b>id</b>: r15</p><p><b>status</b>: final</p><p><b>code</b>: Eosinophils <span>(Details : {LOINC code '\''711-2'\'' = '\''Eosinophils [#/volume] in Blood by Automated count'\'', given as '\''Eosinophils [#/volume] in Blood by Automated count'\''})</span></p><p><b>subject</b>: <a>Patient/pat2</a></p><p><b>performer</b>: <a>Acme Laboratory, Inc</a></p><p><b>value</b>: 0.92 x10*9/L<span> (Details: UCUM code 10*9/L = '\''10*9/L'\'')</span></p><p><b>interpretation</b>: Critical high <span>(Details : {http://terminology.hl7.org/CodeSystem/v3-ObservationInterpretation code '\''HH'\'' = '\''Critical high)</span></p><h3>ReferenceRanges</h3><table><tr><td>-</td><td><b>Low</b></td><td><b>High</b></td></tr><tr><td>*</td><td>0.04 x10*9/L<span> (Details: UCUM code 10*9/L = '\''10*9/L'\'')</span></td><td>0.40 x10*9/L<span> (Details: UCUM code 10*9/L = '\''10*9/L'\'')</span></td></tr></table></div>"
},
"status": "final",
"code": {
"coding": [
{
"system": "http://loinc.org",
"code": "711-2",
"display": "Eosinophils [#/volume] in Blood by Automated count"
}
],
"text": "Eosinophils"
},
"subject": {
"reference": "Patient/pat2"
},
"performer": [
{
"reference": "Organization/1832473e-2fe0-452d-abe9-3cdb9879522f",
"display": "Acme Laboratory, Inc"
}
],
"valueQuantity": {
"value": 0.92,
"unit": "x10*9/L",
"system": "http://unitsofmeasure.org",
"code": "10*9/L"
},
"interpretation": [
{
"coding": [
{
"system": "http://terminology.hl7.org/CodeSystem/v3-ObservationInterpretation",
"code": "HH"
}
]
}
],
"referenceRange": [
{
"low": {
"value": 0.04,
"unit": "x10*9/L",
"system": "http://unitsofmeasure.org",
"code": "10*9/L"
},
"high": {
"value": 0.4,
"unit": "x10*9/L",
"system": "http://unitsofmeasure.org",
"code": "10*9/L"
}
}
]
}
},
{
"fullUrl": "https://example.com/base/Observation/r16",
"resource": {
"resourceType": "Observation",
"id": "r16",
"text": {
"status": "generated",
"div": "<div xmlns=\"http://www.w3.org/1999/xhtml\"><p><b>Generated Narrative with Details</b></p><p><b>id</b>: r16</p><p><b>status</b>: final</p><p><b>code</b>: Basophils <span>(Details : {LOINC code '\''706-2'\'' = '\''Basophils/100 leukocytes in Blood by Automated count'\'', given as '\''Basophils/100 leukocytes in Blood by Automated count'\''})</span></p><p><b>subject</b>: <a>Patient/pat2</a></p><p><b>performer</b>: <a>Acme Laboratory, Inc</a></p><p><b>value</b>: 20 %<span> (Details: UCUM code % = '\''%'\'')</span></p></div>"
},
"status": "final",
"code": {
"coding": [
{
"system": "http://loinc.org",
"code": "706-2",
"display": "Basophils/100 leukocytes in Blood by Automated count"
}
],
"text": "Basophils"
},
"subject": {
"reference": "Patient/pat2"
},
"performer": [
{
"reference": "Organization/1832473e-2fe0-452d-abe9-3cdb9879522f",
"display": "Acme Laboratory, Inc"
}
],
"valueQuantity": {
"value": 20,
"unit": "%",
"system": "http://unitsofmeasure.org",
"code": "%"
}
}
},
{
"fullUrl": "https://example.com/base/Observation/r17",
"resource": {
"resourceType": "Observation",
"id": "r17",
"text": {
"status": "generated",
"div": "<div xmlns=\"http://www.w3.org/1999/xhtml\"><p><b>Generated Narrative with Details</b></p><p><b>id</b>: r17</p><p><b>status</b>: final</p><p><b>code</b>: Basophils <span>(Details : {LOINC code '\''704-7'\'' = '\''Basophils [#/volume] in Blood by Automated count'\'', given as '\''Basophils [#/volume] in Blood by Automated count'\''})</span></p><p><b>subject</b>: <a>Patient/pat2</a></p><p><b>performer</b>: <a>Acme Laboratory, Inc</a></p><p><b>value</b>: 0.92 x10*9/L<span> (Details: UCUM code 10*9/L = '\''10*9/L'\'')</span></p><h3>ReferenceRanges</h3><table><tr><td>-</td><td><b>High</b></td></tr><tr><td>*</td><td>0.21 x10*9/L<span> (Details: UCUM code 10*9/L = '\''10*9/L'\'')</span></td></tr></table></div>"
},
"status": "final",
"code": {
"coding": [
{
"system": "http://loinc.org",
"code": "704-7",
"display": "Basophils [#/volume] in Blood by Automated count"
}
],
"text": "Basophils"
},
"subject": {
"reference": "Patient/pat2"
},
"performer": [
{
"reference": "Organization/1832473e-2fe0-452d-abe9-3cdb9879522f",
"display": "Acme Laboratory, Inc"
}
],
"valueQuantity": {
"value": 0.92,
"unit": "x10*9/L",
"system": "http://unitsofmeasure.org",
"code": "10*9/L"
},
"referenceRange": [
{
"high": {
"value": 0.21,
"unit": "x10*9/L",
"system": "http://unitsofmeasure.org",
"code": "10*9/L"
}
}
]
}
}
]
}'This is a DiagnosticReport resource
Any combination of letters, numerals, "-" and ".", with a length limit of 64 characters. (This might be an integer, an unprefixed OID, UUID or any other identifier pattern that meets these constraints.) Ids are case-insensitive.
The metadata about a resource. This is content in the resource that is maintained by the infrastructure. Changes to the content might not always be associated with version changes to the resource.
String of characters used to identify a name or a resource
A string which has at least one character and no leading or trailing whitespace and where there is no whitespace other than single spaces in the contents
A human-readable summary of the resource conveying the essential clinical and business information for the resource.
These resources do not have an independent existence apart from the resource that contains them - they cannot be identified independently, and nor can they have their own independent transaction scope.
May be used to represent additional information that is not part of the basic definition of the resource. To make the use of extensions safe and manageable, there is a strict set of governance applied to the definition and use of extensions. Though any implementer can define an extension, there is a set of requirements that SHALL be met as part of the definition of the extension.
May be used to represent additional information that is not part of the basic definition of the resource and that modifies the understanding of the element that contains it and/or the understanding of the containing element's descendants. Usually modifier elements provide negation or qualification. To make the use of extensions safe and manageable, there is a strict set of governance applied to the definition and use of extensions. Though any implementer is allowed to define an extension, there is a set of requirements that SHALL be met as part of the definition of the extension. Applications processing a resource are required to check for modifier extensions.
Modifier extensions SHALL NOT change the meaning of any elements on Resource or DomainResource (including cannot change the meaning of modifierExtension itself).
Identifiers assigned to this report by the performer or other systems.
The status of the diagnostic report.
A code that classifies the clinical discipline, department or diagnostic service that created the report (e.g. cardiology, biochemistry, hematology, MRI). This is used for searching, sorting and display purposes.
A concept that may be defined by a formal reference to a terminology or ontology or may be provided by text.
May be used to represent additional information that is not part of the basic definition of the element. To make the use of extensions safe and manageable, there is a strict set of governance applied to the definition and use of extensions. Though any implementer can define an extension, there is a set of requirements that SHALL be met as part of the definition of the extension.
The time or time-period the observed values are related to. When the subject of the report is a patient, this is usually either the time of the procedure or of specimen collection(s), but very often the source of the date/time is not known, only the date/time itself.
An instant in time - known at least to the second
The diagnostic service that is responsible for issuing the report.
The practitioner or organization that is responsible for the report's conclusions and interpretations.
Details about the specimens on which this diagnostic report is based.
Observations that are part of this diagnostic report.
One or more links to full details of any imaging performed during the diagnostic investigation. Typically, this is imaging performed by DICOM enabled modalities, but this is not required. A fully enabled PACS viewer can use this information to provide views of the source images.
A list of key images associated with this report. The images are generally created during the diagnostic process, and may be directly of the patient, or of treated specimens (i.e. slides of interest).
One or more codes that represent the summary conclusion (interpretation/impression) of the diagnostic report.
{ "resourceType": "Bundle", "id": "101", "type": "collection", "entry": [ { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … } ] }
- Mock server
https://docs.heydonto.com/_mock/apis/fhir/diagnostic/site/{siteId}/fhir/diagnostic-report/{id}
- Sandbox
https://api-staging.heydonto.com/site/{siteId}/fhir/diagnostic-report/{id}
- Production
https://api.heydonto.com/site/{siteId}/fhir/diagnostic-report/{id}
- curl
- JavaScript
- Node.js
- Python
- Java
- C#
- PHP
- Go
- Ruby
- R
- Payload
curl -i -X DELETE \
'https://docs.heydonto.com/_mock/apis/fhir/diagnostic/site/{siteId}/fhir/diagnostic-report/{id}' \
-H 'Authorization: Bearer <YOUR_JWT_HERE>'{ "statusText": "OK", "status": 200 }
- Mock server
https://docs.heydonto.com/_mock/apis/fhir/diagnostic/site/{siteId}/fhir/diagnostic-report/{id}/history
- Sandbox
https://api-staging.heydonto.com/site/{siteId}/fhir/diagnostic-report/{id}/history
- Production
https://api.heydonto.com/site/{siteId}/fhir/diagnostic-report/{id}/history
- curl
- JavaScript
- Node.js
- Python
- Java
- C#
- PHP
- Go
- Ruby
- R
- Payload
curl -i -X GET \
'https://docs.heydonto.com/_mock/apis/fhir/diagnostic/site/{siteId}/fhir/diagnostic-report/{id}/history' \
-H 'Authorization: Bearer <YOUR_JWT_HERE>'A list of entries representing historical versions of the resource.
{ "resourceType": "Bundle", "type": "history", "entry": [ { … } ], "total": 2 }