Koray Atalag MD, PhD National Institute for Health Innovation, University of Auckland

1. A First Stab at the
Content Model (for HIE)
Koray Atalag, MD, PhD
k.atalag@nihi.auckland.ac.nz
koray.atalag@openehrfoundation.org

4. What is it?
• A collection of reusable bits of clinical
information – Archetypes
• Top level organisation follows CCR
• Further detail provided by:
– Existing international Archetypes
– Extensions (of above)
– New Archetypes
• Each HIE payload will include a subset
• Don’t worry about Core/Minimum set (for now) –
creating a maximal set

6. Uniform Content Model > Payload

7. Extension: Archetype Specialisation
Problem
Local specialisation
Text or Term Diagnosis
Clinical description
Date of onset Term Diabetes
Date of resolution + diagnosis
No of occurrences Grading Term
Diagnostic criteria +
Stage Diagnostic criteria
• Fasting > 6.1
• GTT 2hr > 11.1
• Random > 11.1

8. Creating Payload
?

9. Content Development – How to?
• Should be grass-roots; e.g. clinician led
• Tight governance – consistency important
– Independent and multi-stakeholder
– Emphasis on alignment in all HIE Projects
• CKM: tool for collaborative development
• ? Trans-Tasman collaboration – use Nehta DCM
(http://dcm.nehta.org.au/ckm/)
• Terminology bindings: SNOMED RefSets and others
• Need: champions, upskilling and seed funding ;)

10. How to Align?
• Create a superset from all existing sources
• Identify exact matches (label, values etc.)
• Align similar items:
– Labels & descriptions
– Combine value sets
– Adjust granularity
– Adjust cardinalities
– Set terminology bindings

11. Content Localisation
• Localisation:
– Translation (Maori, Chinese, Korean, Indian etc.)
– Adaptation (extensions to NZ needs)
• Content independent of language – as many
languages can be fitted, good tooling
• openEHR Localisation Program (led by myself)
– Local Chapters in each jurisdiction
– Program Committee, Qualified Members, Local
Members
– NZ openEHR Chapter intended to work under HL7NZ

13. DEMONSTRATION
• eReferral (RSD revision) 5’
– HL7 v2.4 message – look at content
– openEHR eReferrals model – mapping & extension
• Community ePrescribing 3’
– Message content & Nehta ePrescribing
• PREDICT ‘15
– Dataset items and feeder data sources
– International Archetypes+Kiwi extensions+New
– Future-proofing: backwards data compatibility & AQL
querying
• Exchange Content Model – a first stab! 1’