DICOM SR to FHIR Resource Mapping IG, published by HL7 International / Imaging Integration. This guide is not an authorized publication; it is the continuous build for version 0.1.0 built by the FHIR (HL7® FHIR® Standard) CI Build. This version is based on the current content of https://github.com/HL7/dicom-sr/ and changes regularly. See the Directory of published versions
This chapter describes the scope of this guide, provides background information, key concepts, and describes the use cases supported by this implementation guide.
DICOM Structured Report (DICOM SR) is a standard for recording clinical imaging observations made regarding a diagnostic or interventional imaging procedure. Imaging Observations are made by humans, such as a sonographer making measurements on recently acquired ultrasound image, a Radiologist recording observations on suspected lesions, or by a machine, such as an automated AI Algorithm providing qualitative and quantitative observations.
DICOM SR is widely adopted by Imaging-based devices and IT systems. Non-imaging based Healthcare IT Systems, generally, do not support DICOM SR. Non-imaging healthcare systems support HL7 standards, such as FHIR. HL7 has defined Observations as the standardized method for recording clinical observations. Bridging the two standards for clinical imaging observations is necessary for interoperability between these type of systems.
The standards for recording clinical observations, DICOM SR and HL7 FHIR Observation resource are bridged by this IG by the transformation of the DICOM SR attributes to the HL7 FHIR Observation Resource.
DICOM SR defines a multitude of templates for capturing Diagnostic imaging Observations. The input for this IG is limited to the DICOM SR template TID-1500 (Measurement Report). The mapping is limited the content within the tree structure.
The transformation described is one direction. Reconstruction of a complete DICOM SR is not expected to be re-constructed from a set of FHIR resources using this IG.
DICOM SR mapping is limited to the Observation Resource and a small set of related resources. The resultant mapping is provided, as a minimum, a composition or bundle of Observations. Depending on the use case, the observations may be a Diagnostic Report. Use case-specific requirements to construct a diagnostic report(e.g. Mammography) may require the transformation described by this IG. However, the specification of those use cases is not in scope for this IG.
Therefore, Observations created according to this IG may not include all context relevant to their interpretation.
This Implementation Guide is intended for
Two use cases were identified.
The following use cases are not covered by this Implementation Guide:
The following terms and acronyms are used within the Radiation Dose Summary IG:
Term | Definition |
---|---|
AIR | AI Results |
ATNA | Audit Trail and Node Authentication |
CID | Context Identifier |
DICOM | Digital Imaging and Communications in Medicine |
DLP | Dose Length Product |
EHR | Electronic Health Record |
EMR | Electronic Medical Record |
FHIR | Fast Healthcare Interoperability Resources |
HL7 | Health Level Seven |
IG | Implementation Guide |
IHE | Integrating the Healthcare Enterprise |
IOD | Information Object Definition |
RIS | Radiology Information System |
SR | Structured Report |
TID | Template ID |
TLS | Transport Layer Security |
UID | Unique identifier |
URL | Uniform Resource Locator |
URN | Uniform Resource Name |