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Public Health Information Systems: From Data to Knowledge

dc.contributor.authorEapen, Bell Raj
dc.contributor.authorArcher, Norm
dc.contributor.authorSartipi, Kamran
dc.contributor.departmenteHealthen_US
dc.date.accessioned2020-02-12T19:54:49Z
dc.date.available2020-02-12T19:54:49Z
dc.date.issued2020
dc.description.abstractPublic Health Information Systems (PHIS) in the new era of Big Data, Machine Learning and Predictive Analytics should be based on effective knowledge management (KM) theories, strategies and frameworks. We espouse a maturity model for PHIS based on the health impact pyramid metaphor to represent the transition from data to a knowledge-based system. We apply the knowledge-based view to describe how PHIS is different from other health information systems. We also propose pragmatic solutions to the challenges of knowledge management in public health and propose guidelines for evaluating software artifacts in PHIS.en_US
dc.identifier.urihttp://hdl.handle.net/11375/25272
dc.language.isoenen_US
dc.publisherStudent-Non-Thesis-Preprinten_US
dc.subjectPublic Healthen_US
dc.subjectKnowledge Managementen_US
dc.titlePublic Health Information Systems: From Data to Knowledgeen_US
dc.typePreprinten_US

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