Data Visualization Strategies for the Electronic Health Record pp. 107-140
Authors: (Blake J. Lesselroth, David S. Pieczkiewicz, Portland Center for Informatics, Portland Oregon Veterans Affairs Medical Center, Portland, Oregon, and others)
Abstract: Today‟s capacious medical information systems have increased the amount and availability of general medical knowledge and patient-specific data. And yet, information gaps at the point-of-care are widening; clinicians are under increased pressure to synthesize best-evidence, review more patient data, and complete more clinical tasks in less time. To meet the information-intensive needs of the 21st century clinician, the electronic health record (EHR) must evolve beyond a digital representation of the paper chart. The next generation of EHR will need to use novel data presentations to optimize information retrieval, highlight clinical relationships, and integrate converging information streams. Most importantly, user displays will need to support complex cognitive tasks such as diagnostic performance, probabilistic analysis, and therapeutic decision-making. This paper reviews some of the ubiquitous technical barriers impeding information management at the point-of-care and discusses strategies for better data visualization including multimedia displays, clinical dashboards, concept-oriented views, metaphor graphics, and probability analytics. Development, testing, and implementation of better designs will require hybrid professionals bridging the domains of medicine, graphic design, and computer science. Furthermore, major infrastructure issues will need to be addressed including data standards, clinical terminology, governance models, and development incentives.
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