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Creating a Medical Imaging Workflow Based on FHIR, DICOMweb, and SVG.

Shih-Tsang Tang1, Victoria Tjia2, Thalia Noga2

  • 1Department of Biomedical Engineering, Ming-Chuan University, Taoyuan, Taiwan.

Journal of Digital Imaging
|February 2, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a web-based workflow for organizing medical images using Fast Healthcare Interoperability Resources (FHIR) and Digital Imaging and Communications in Medicine (DICOM) standards. This integration streamlines medical imaging data management and reporting.

Keywords:
DICOMwebFHIRRESTfulScalable Vector Graphics (SVG)

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Area of Science:

  • Medical Informatics
  • Health Information Technology
  • Digital Health

Background:

  • Current medical imaging workflows often involve fragmented data systems.
  • Integrating imaging data with clinical information presents significant interoperability challenges.
  • Standardized data exchange is crucial for efficient healthcare delivery.

Purpose of the Study:

  • To propose a web-based workflow scheme for organizing medical images.
  • To leverage Fast Healthcare Interoperability Resources (FHIR) and Digital Imaging and Communications in Medicine (DICOM) standards for seamless integration.
  • To facilitate the creation and storage of structured reports, findings, and annotations.

Main Methods:

  • Utilized standard RESTful APIs for FHIR and DICOMweb servers.
  • Integrated client systems including order placers, schedulers, imaging modalities, viewers, and report creators.
  • Employed W3C Scalable Vector Graphics (SVG) for image annotations, encapsulated within FHIR resources.
  • Used FHIR DiagnosticReports and Observations to encapsulate reports and findings.

Main Results:

  • Developed a web-based solution using FHIR XML/JSON for imaging workflow information exchange.
  • Enabled storage of imaging reports, findings, and annotations linked to images via DICOM WADO-RS.
  • Demonstrated the potential to convert Computer Aided Detection/Diagnosis results into FHIR resources.
  • Achieved integration of all information generated within the medical imaging workflow.

Conclusions:

  • The proposed scheme effectively integrates medical imaging workflow components.
  • The solution enhances interoperability with existing FHIR systems.
  • Standardized data formats (FHIR, DICOM) improve data management and accessibility in medical imaging.