Translational cognition for decision support in critical care environments: A review
| Autor: | Vimla L. Patel, Nicole A. Yoskowitz, Robert A. Green, Osman R. Sayan, Jiajie Zhang |
|---|---|
| Jazyk: | angličtina |
| Předmět: |
Decision support system
Emergency Medical Services Knowledge management 020205 medical informatics Naturalistic decision-making Ethnographic analysis Health Informatics Context (language use) Emergency triage 02 engineering and technology Distributed cognition Article 03 medical and health sciences 0302 clinical medicine Cognition Artificial Intelligence Clinical workflow Intensive care 0202 electrical engineering electronic engineering information engineering Emergency medical services Medical errors 030212 general & internal medicine Translational cognition business.industry Decision Support Systems Clinical Technological design Computer Science Applications Decision support Critical care Cognitive task analysis Information and Communications Technology Task analysis business Psychology |
| Zdroj: | Journal of Biomedical Informatics. (3):413-431 |
| ISSN: | 1532-0464 |
| DOI: | 10.1016/j.jbi.2008.01.013 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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