A Cognitive Task Analysis of Information Management Strategies in a Computerized Provider Order Entry Environment |
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Authors: | Charlene R. Weir Jonathan J.R. Nebeker Bret L. Hicken Rebecca Campo Frank Drews Beth LeBar |
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Affiliation: | 1. Babeş-Bolyai University, Department of Geology, Cluj-Napoca, Kogălniceanu 1, 40008, Romania;2. Balaton Limnological Institute, MTA Centre for Ecological Research, Tihany, Klebelsberg Kuno 3, H-8237, Hungary,;3. Adam Mickiewicz University, Department of Biogeography and Palaeoecology, Poznań, Bogumiła Krygowskiego 10, 61-680, Poland;4. Institute of Plant Sciences and Oeschger Centre for Climate Change Research, University of Bern, Bern, Altenbergrain 21, 3013, Switzerland;5. University of Latvia, Faculty of Geography and Earth Sciences, Riga, Jelgavas 1, LV-1004, Latvia;6. Hertelendi Laboratory of Environmental Studies, Institute for Nuclear Research, Hungarian Academy of Sciences, Debrecen, Bem tér 18/c., 4026, Hungary;7. Senckenberg Biodiversity and Climate Research Centre (BiK-F), Frankfurt am Main, Senckenberganlange 25, D-60325, Germany;1. Duke University Otolaryngology Head and Neck Surgery & Communication Sciences, Durham, NC, United States;2. Vanderbilt University Medical Center, Department of Otolaryngology – Head and Neck Surgery, Nashville, TN, United States;3. The Ohio State University Wexner Medical Center, Columbus, OH, United States |
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Abstract: |
ObjectiveComputerized Provider Order Entry (CPOE) with electronic documentation, and computerized decision support dramatically changes the information environment of the practicing clinician. Prior work patterns based on paper, verbal exchange, and manual methods are replaced with automated, computerized, and potentially less flexible systems. The objective of this study is to explore the information management strategies that clinicians use in the process of adapting to a CPOE system using cognitive task analysis techniques.DesignObservation and semi-structured interviews were conducted with 88 primary-care clinicians at 10 Veterans Administration Medical Centers.MeasurementsInterviews were taped, transcribed, and extensively analyzed to identify key information management goals, strategies, and tasks. Tasks were aggregated into groups, common components across tasks were clarified, and underlying goals and strategies identified.ResultsNearly half of the identified tasks were not fully supported by the available technology. Six core components of tasks were identified. Four meta-cognitive information management goals emerged: 1) Relevance Screening; 2) Ensuring Accuracy; 3) Minimizing memory load; and 4) Negotiating Responsibility. Strategies used to support these goals are presented.ConclusionUsers develop a wide array of information management strategies that allow them to successfully adapt to new technology. Supporting the ability of users to develop adaptive strategies to support meta-cognitive goals is a key component of a successful system. |
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