A Cognitive Modeling Approach to Decision Support Tool Design for Anesthesia Provider Crisis Management.

Journal Article (Journal Article)

Prior research has revealed existing operating room (OR) patient monitors to provide limited support for prompt and accurate decision making by anesthesia providers during crises. Decision support tools (DSTs) developed for this purpose typically alert the anesthesia provider to existence of a problem but do not recommend a treatment plan. There is a need for a human-centered approach to the design and development of a crisis management DST. A hierarchical task analysis was conducted to identify anesthesia provider procedures in detecting, diagnosing, and treating a critical incident and a cognitive task analysis to elicit goals, decisions, and information requirements. This information was coded in a computational cognitive model using GOMS (Goals, Operators, Methods, Selection rules) Language. An OR monitor interface was prototyped to present output from the cognitive model following ecological interface design principles. A preliminary assessment of the DST was performed with anesthesiology and usability experts. The anesthesiologists indicated they would use the tool in the perioperative environment and would recommend its use by junior anesthesia providers. Future research will focus on formal validation of the DST design approach and comparison of tool output to actual anesthesia provider decisions in real or simulated crises.

Full Text

Duke Authors

Cited Authors

  • Segall, N; Kaber, DB; Taekman, JM; Wright, MC

Published Date

  • 2013

Published In

Volume / Issue

  • 29 / 2

Start / End Page

  • 55 - 66

PubMed ID

  • 34646059

Pubmed Central ID

  • PMC8510443

International Standard Serial Number (ISSN)

  • 1044-7318

Digital Object Identifier (DOI)

  • 10.1080/10447318.2012.681220


  • eng

Conference Location

  • United States