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Document any tasks here, Document any decisions on group page
Agenda Item | Lead | Minutes |
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| Cary Davide Dhruv Tracie Mike Meier Lloyd Dugan John Svirbely Derek Buchanan Pieter Steyn Ash Bercich Peter Macisaac Jason Tibbits Matt Burton Trish Williams Vincent McCauley Keeley Reade Michael Cesino Sunil Mysore Kempegowda Russell McDonell Peter Haug Pawan Goyal Denis Gagne *Intro and overview by Pawan and Davide *Question from Pieter: user interface question, (slightly beyond our scope, may be connecting slightly); user exp is out of scope, we are discussing more backend server; *Matt: how do domain models come into play? in scope for what we do in this workgroup *Pawan comments on alignment and addition of participants from varied set of countries and health systems: global industry with local application; similar challenges across these capabilities and processes; global level of understanding, and people move around the globe; need standard approach for primary and secondary; *Modeling and Patterns; (splinter group); efforts for common problems; appendix to Field Guide; what are best modeling patterns?; infrastructure set up in Confluence space (place for people to contribute); keep them as simple and self contained as possible (micro-patterns); key points: 1) collaborative, live space (contribution, review, suggestions during mtg and after); 2) prioritizing intervention (ranking order of things to work); 3) ensuring we are all on same page for terms and concepts (pathway, guideline, workflows, interaction protocols, etc)…glossary - common understanding around terms *Inputs: catalog of clinical questions / candidates; not yet set up in confluence space *Actions: catalog of questions / candidates; development of a shared glossary; *John Group Update: Steve White working on situational data model, standardizing data, & generating case studies *Focus of this splinter group: Context, Framework, Pattern, guidelines and best practices on how to model knowledge, case studies as finished products; determination of good vs bad model, representative, impactful, etc…conditional *Open data element framework (ODEF), could this help advance any of our criteria? Agreed - pls prepare info to share. To consider: Normalization layer, how to hydrate the data, focus on verifiability and testability; (Mike Cesino); related to MDMI. | |