In this presentation I am discussing implementing the FHIR ImagingStudy endpoint using DICOM QIDO RS during the out-of-cycle HL7 AID meeting in Amsterdam

1. WADO AND FHIR
A DICOM newbie visits SIIM2014
Ewout Kramer
e.kramer@furore.com
HL7 AID OOC, juni 2014

3. EMR Lab
PACS
Pharmacy

4. PACS Lab
EMR
Pharmacy

5. Digital
Imaging
and
Communication
in
Medicine

7. "Chapter 6" 75 pagina's
3.644 elements

8. • File format NOT an object
model!
• Not normalized

9. DicomObject • Flat structure (well, some
of the datatypes are
complex)
• Sets of key/value pairs
• "All DICOM Objects must
include Patient, Study,
Series and Image"
• FHIR: Focus on "registry"
function/searching

10. Biggest Challenge:
Granularity

13. QIDO-RS

14. QIDO-RS and then WADO-RS
GET https://dicomweb.myhospital.com/studies/?00100010=THOMPSON
Accept: application/json
Add Retrieve URL (0008,1190)
"00081190": { "vr": "UT",
"Value": [ "https://dicomweb.myhospital.com/studies/
1.2.392.200036.9116.2.2.2.1762893313.1029997326.945873" ] }
GET https://dicomweb.myhospital.com/studies/
1.2.392.200036.9116.2.2.2.1762893313.1029997326.945873
Accept: multipart/related; type=image/jpeg

15. Secondary Challenges
Composition/reference
• DICOM – composition only
Syntax
• DateTime -> date+time
• Approx. 25 datatypes need
to be converted

16. Now, I'll just have to finish doing it!