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Semantic Mapping and HL7

Semantic Mapping and HL7. robert.worden@charteris.com. Why Mapping?. HL7 have built UML semantic models of healthcare (RIM, RMIMs, CDA…) If everybody migrated to these models, many interoperability problems would be solved

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Semantic Mapping and HL7

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  1. Semantic Mapping and HL7 robert.worden@charteris.com

  2. Why Mapping? • HL7 have built UML semantic models of healthcare (RIM, RMIMs, CDA…) • If everybody migrated to these models, many interoperability problems would be solved • Suppliers cannot do this; they have big commitments to other models and structures • They could map to the HL7 models; mapping is much easier than migrating • So HL7 needs to publish shareable mappings to existing standards and data structures

  3. Why Semantic Mapping? To Handle Structure Clashes • Most mapping tools only map data values • These are the leaves of message trees • Structure clashes (e.g. multiplicity) arise on non-leaf nodes, deep in the trees • Most mapping tools don’t address them • Therefore the translations don’t work • So people drop the tools and hand-code Message B Message A mappings

  4. Structure Clashes Arise from Associations • ‘Deep’ message A represents the association X=>Y by nesting of elements • ‘Shallow’ message B represents the same association by shared key values • This causes a structure clash • You cannot translate from A to B without knowing how they each represent the same association • Therefore semantic mapping is needed, to drive accurate translations object Class X association association property Class Y Message A Message B UML Class Model

  5. Mappings in Progress • Pharmacy V2-V3 (Pharmacy TC) • Various V2-V3 (ItalTBS) • HIPAA X12 to V3 (FM TC) • CCR – CCD (various vendors) • Relational database – V3 (basic demonstrator)

  6. Example: CCR and CCD • CCD and CCR are complex structures (typical nesting depth: 6 – 12) • They have many structure clashes (CCR uses shared keys) • They have both been mapped to a CCD semantic model (a few days’ work for CCR) • The mappings give accurate translations and round trips – translating thousands of data items • Mapping exposes the problems in CCR

  7. Mappings for ARRA/HITECH V3 RMIM NCPDP CDA + Templates V 2.5.1 CCR Application Data Model Application Database HIPAA X12 Application Database Application Database

  8. Benefits and Issues • Mappings reveal the problems clearly and early • Any-to-any translations can be generated from the mappings (=>rapid testing) • By mapping an application data model to CDA, you will get translations to and from CDA, V2.5.1, CCR …. • Managing templates is a big problem • Versions are a big problem

  9. Semantic Mappings - Summary • Declarative, simple where they can be simple, viewable (e.g. Excel) • A specification for semantic interoperability • Auto-generate runnable transformations • N*(N-1) transformations from N sets of mappings • Rapidly testable (=> test-driven mapping) • Mapping exposes semantic problems (gaps, ambiguities)

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