Jim Warren National Institute for Health Innovation (NIHI) The University of Auckland(17/10/08, HL7 Panel session)

1. Strategic Directions for Health Informatics Content Interoperability in NZ Professor Jim Warren Dr Douglas Kingsford, University of Ballarat

11. +++ (using RDF and OWL) ‏ +++ (as per v3 esp CD datatype) +++ +++ +++ (v3 has richer structured datatypes that better support post-coordination) ‏ ++ Terminology/Ontology bindings + ++ +++ ++ - (neither v2 nor v3 are persistence specs) ‏ - EHR Persistence + ++ (it is a messaging spec) ‏ + (no messaging support beyond content) ++ +++ +++ Support messaging +++ +++ + +++ +++ +++ Institutionalisation & governance + + +++ + +++ +++ Embedded security - ++ +++ ++ +++ + Support for knowledge management - ++ ++ ++ ++ - RIM stability & consistency +++ +++ + - (no implementations) ‏ + +++ Reference implementations +++ (widespread use across IT) ‏ ++ + - (no implementations) ‏ + +++ Vendor interest & support +++ + ++ - ++ +++ Tools and components +++ +++ +++ + ++ +++ Accessibility to Standards and Specs - ++ (as in NHS CfH) ‏ ++ ++ +++ + Support for Decision Support + (XPath) ‏ + +++ ++ (there are problems with it) ‏ +++ (assuming a RIM parser) ‏ + Intelligent querying - +++ (as per v3) ‏ +++ ++ (weaker RM) ‏ +++ + Expressive power for clinical data - ++ +++ ++ ++ + Coverage (i.e. to realise full EHR) XML/Web Service CDA/CCD openEHR CEN HL7 v3 HL7 v2

12. Comparison of Major Options This is a methodology rather than a technology solution. The technology is still CDA/v3 – this approach does not implement the openEHR reference model or datatypes, it just uses the archetyping methodology for content creation. There is currently little evidence for the ROI of a openEHR / HL7 v2 solution. openEHR may not offer the same opportunities for machine reasoning as HL7 v3. HL7 v3 is not a persistence standard. ROI for upgrading messaging systems would need to be established first. Cost of development using a relatively unstable RIM may be high. Limited semantic interoperability of messaging. Inability to express context of messages. Cons Archetyping appears to be gaining acceptance as a way of modelling clinical content. While not adopting a full openEHR solution, applying archetyping methodoloy to HL7 template creation would make CDA structured content more in line with clinical needs. openEHR offers a semanticaly standardised persistent storage solution within an organisation. openEHR content is easier for clinicians to understand than HL7 v3 content. Communicating with outside organisations using HL7v2 would offer a pragmatic solution to messaging as the integration infrastructure and skills already exists, so the total cost of ownership is low. Semantic messaging may offer a ROI where decision support and workflow tools are to be implemented that are capable of leveraging rich message content. Allows use of existing messaging infrastucture, minimising total cost of ownership. CDA would offer a persistent storage solution for structured content containing defined datasets. Some degree of interoperability due to the vocabulary bindings in coded message fields. Pros openEHR Archetyping Applied to HL7 Templates in CDA Documents HL7 v2 Messaging + openEHR HL7 v3 Messaging +/- CDA L3 HL7v2 Messaging +/- CDA L1