J Am Med Inform Assoc - Query Health: standards-based, cross-platform population health surveillance.

Tópicos

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Resumo

JECTIVE: Understanding population-level health trends is essential to effectively monitor and improve public health. The Office of the National Coordinator for Health Information Technology (ONC) Query Health initiative is a collaboration to develop a national architecture for distributed, population-level health queries across diverse clinical systems with disparate data models. Here we review Query Health activities, including a standards-based methodology, an open-source reference implementation, and three pilot projects.MATERIALS AND METHODS: Query Health defined a standards-based approach for distributed population health queries, using an ontology based on the Quality Data Model and Consolidated Clinical Document Architecture, Health Quality Measures Format (HQMF) as the query language, the Query Envelope as the secure transport layer, and the Quality Reporting Document Architecture as the result language.RESULTS: We implemented this approach using Informatics for Integrating Biology and the Bedside (i2b2) and hQuery for data analytics and PopMedNet for access control, secure query distribution, and response. We deployed the reference implementation at three pilot sites: two public health departments (New York City and Massachusetts) and one pilot designed to support Food and Drug Administration post-market safety surveillance activities. The pilots were successful, although improved cross-platform data normalization is needed.DISCUSSIONS: This initiative resulted in a standards-based methodology for population health queries, a reference implementation, and revision of the HQMF standard. It also informed future directions regarding interoperability and data access for ONC's Data Access Framework initiative.CONCLUSIONS: Query Health was a test of the learning health system that supplied a functional methodology and reference implementation for distributed population health queries that has been validated at three sites.

Resumo Limpo

jectiv understand populationlevel health trend essenti effect monitor improv public health offic nation coordin health inform technolog onc queri health initi collabor develop nation architectur distribut populationlevel health queri across divers clinic system dispar data model review queri health activ includ standardsbas methodolog opensourc refer implement three pilot projectsmateri method queri health defin standardsbas approach distribut popul health queri use ontolog base qualiti data model consolid clinic document architectur health qualiti measur format hqmf queri languag queri envelop secur transport layer qualiti report document architectur result languageresult implement approach use informat integr biolog bedsid ib hqueri data analyt popmednet access control secur queri distribut respons deploy refer implement three pilot site two public health depart new york citi massachusett one pilot design support food drug administr postmarket safeti surveil activ pilot success although improv crossplatform data normal neededdiscuss initi result standardsbas methodolog popul health queri refer implement revis hqmf standard also inform futur direct regard interoper data access onc data access framework initiativeconclus queri health test learn health system suppli function methodolog refer implement distribut popul health queri valid three site

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