Methodological Review: Translational cognition for decision support in critical care environments: A review

  • Authors:

  • Vimla L. Patel;Jiajie Zhang;Nicole A. Yoskowitz;Robert Green;Osman R. Sayan

  • Affiliations:

  • Center for Decision Making and Cognition, Department of Biomedical Informatics (In Partnership with College of Medicine-Phoenix), Arizona State University, Arizona Biomedical Collaborative 1, 425 ...;School of Health Information Sciences, University of Texas Health Science Center at Houston, TX, USA;Laboratory of Decision Making and Cognition, Department of Biomedical Informatics, Columbia University, NY, USA;Department of Emergency Medicine, New York-Presbyterian Hospital/Columbia University Medical Center, NY, USA;Department of Emergency Medicine, New York-Presbyterian Hospital/Columbia University Medical Center, NY, USA

  • Venue:
  • Journal of Biomedical Informatics
  • Year:
  • 2008

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Abstract

The dynamic and distributed work environment in critical care requires a high level of collaboration among clinical team members and a sophisticated task coordination system to deliver safe, timely and effective care. A complex cognitive system underlies the decision-making process in such cooperative workplaces. This methodological review paper addresses the issues of translating cognitive research to clinical practice with a specific focus on decision-making in critical care, and the role of information and communication technology to aid in such decisions. Examples are drawn from studies of critical care in our own research laboratories. Critical care, in this paper, includes both intensive (inpatient) and emergency (outpatient) care. We define translational cognition as the research on basic and applied cognitive issues that contribute to our understanding of how information is stored, retrieved and used for problem-solving and decision-making. The methods and findings are discussed in the context of constraints on decision-making in real-world complex environments and implications for supporting the design and evaluation of decision support tools for critical care health providers.