API documentation for HeyDonto API users
URL https://heydonto.com
HeyDonto services@heydonto.com
curl -i -X GET \ 'https://docs.heydonto.com/_mock/apis/fhir/openapi/fhir/diagnostic-report?_count=0&_page_token=string' \ -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.
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
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.
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.
curl -i -X POST \ https://docs.heydonto.com/_mock/apis/fhir/openapi/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.
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": [ { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … } ] }
curl -i -X GET \ 'https://docs.heydonto.com/_mock/apis/fhir/openapi/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.
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.
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.
curl -i -X PUT \ 'https://docs.heydonto.com/_mock/apis/fhir/openapi/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.
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": [ { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … }, { … } ] }
curl -i -X DELETE \ 'https://docs.heydonto.com/_mock/apis/fhir/openapi/fhir/diagnostic-report/{id}' \ -H 'Authorization: Bearer <YOUR_JWT_HERE>'
{ "statusText": "OK", "status": 200 }
curl -i -X GET \ 'https://docs.heydonto.com/_mock/apis/fhir/openapi/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 }