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" Understanding complex clinical decision tasks for better health information technology system design "
Roosan Islam
Del Fiol, Guilherme
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Latin Dissertation
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| Language of Document
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English
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| Record Number
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803951
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| Doc. No
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TL48761
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| Call number
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1795084855; 10118373
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| Main Entry
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McCoy, John Simon
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| Title & Author
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Understanding complex clinical decision tasks for better health information technology system design\ Roosan IslamDel Fiol, Guilherme
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| College
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The University of Utah
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| Date
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2016
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| Degree
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Ph.D.
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| field of study
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Biomedical Informatics
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| student score
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2016
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| Page No
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144
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| Note
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Committee members: Hurdle, John; LIvnat, Yarden; Samore, Matthew; Weir, Charlene
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| Note
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Place of publication: United States, Ann Arbor; ISBN=978-1-339-79704-5
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| Abstract
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Clinical decision support systems (CDSS) and electronic health records (EHR) have been widely adopted but do not support a high level of reasoning for the clinician. As a result, workflow incongruity and provider frustrations lead to more errors in reasoning. Other successful fields such as defense, aviation, and the military have used task complexity as a key factor in decision support system development. Task complexity arises during the interaction of the user and the tasks. Therefore, in this dissertation I have utilized different human factor methods to explore task complexity factors to understand their utility in health information technology system design.
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| Subject
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Information Technology; Biomedical engineering; Behavioral Sciences; Cognitive psychology; Health care management
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| Descriptor
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Applied sciences;Psychology;Health and environmental sciences;Clinical complexity;Clinical decision support;Electronic health record;Healthcare system design;Infectious disease;Population decision support
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| Added Entry
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Del Fiol, Guilherme
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Biomedical InformaticsThe University of Utah
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