Applied Clinical Informatics, Inhaltsverzeichnis

Appl Clin Inform 2016; 07(02): 604-623
DOI: 10.4338/ACI-2015-12-RA-0182

Research Article

Schattauer GmbH

Feasibility of population health analytics and data visualization for decision support in the infectious diseases domain

A pilot study

Don Roosan

¹Department of Biomedical Informatics, University of Utah, 421 Wakara Way, Salt Lake City, UT 84108, USA

,

Guilherme Del Fiol

¹Department of Biomedical Informatics, University of Utah, 421 Wakara Way, Salt Lake City, UT 84108, USA

²IDEAS Center for Innovation, VA Salt Lake City Health System, 500 Foothill Drive, Salt Lake City, UT 84108, USA

,

Jorie Butler

²IDEAS Center for Innovation, VA Salt Lake City Health System, 500 Foothill Drive, Salt Lake City, UT 84108, USA

,

Yarden Livnat

³Scientific Computing and Imaging Institute, Department of Computer Sciences, University of Utah, 72 S Central Campus Dr, Salt Lake City, UT 84112, USA

,

Jeanmarie Mayer

²IDEAS Center for Innovation, VA Salt Lake City Health System, 500 Foothill Drive, Salt Lake City, UT 84108, USA

,

Matthew Samore

¹Department of Biomedical Informatics, University of Utah, 421 Wakara Way, Salt Lake City, UT 84108, USA

²IDEAS Center for Innovation, VA Salt Lake City Health System, 500 Foothill Drive, Salt Lake City, UT 84108, USA

,

Makoto Jones

²IDEAS Center for Innovation, VA Salt Lake City Health System, 500 Foothill Drive, Salt Lake City, UT 84108, USA

,

Charlene Weir

¹Department of Biomedical Informatics, University of Utah, 421 Wakara Way, Salt Lake City, UT 84108, USA

²IDEAS Center for Innovation, VA Salt Lake City Health System, 500 Foothill Drive, Salt Lake City, UT 84108, USA

› Institutsangaben

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Keywords

Keywords

Health information systems - uncertainty - big data - population decision support systems - information display

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