Literature DB >> 23397811

Using cognitive task analysis to identify critical decisions in the laparoscopic environment.

Curtis Craig1, Martina I Klein, John Griswold, Krishnanath Gaitonde, Thomas McGill, Ari Halldorsson.   

Abstract

OBJECTIVE: The aim of this study was to identify the critical decisions surgeons need to make regarding laparoscopic surgery, the information these decisions are based on, the strategies employed by surgeons to reach their objectives, and the difficulties experienced by novices.
BACKGROUND: Laparoscopic training focuses on the development of technical skills. However, successful surgical outcomes are also dependent on appropriate decisions made during surgery, which are influenced by critical cues and the use of appropriate strategies. Novices might not be as adept at cue detection and strategy use.
METHOD: Participants were eight attending surgeons. The authors employed task-analytic techniques to identify critical decisions inherent in laparoscopy and the cues, strategies, and novice traps associated with these decisions.
RESULTS: The authors used decision requirements tables to organize the data into the key decisions made during the preoperative, operative, and postoperative phases as well as the cues, strategies, and novice traps associated with these decisions. Key decisions identified for the preoperative phase included but were not limited to the decision of performing a laparoscopic versus open surgery, necessity to review the literature, practicing the procedure, and trocar placement. Some key decisions identified for the operative phase included converting to open surgery, performing angiograms, cutting tissue or organs, and reevaluation of the approach. Only one key decision was identified for the postoperative phrase: whether the surgeon's technique needs to be evaluated and revised.
CONCLUSION: The laparoscopic environment requires complex decision making, and novices are prone to errors in their decisions. APPLICATION: The information elicited in this study is applicable to laparoscopic training.

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Mesh:

Year:  2012        PMID: 23397811     DOI: 10.1177/0018720812448393

Source DB:  PubMed          Journal:  Hum Factors        ISSN: 0018-7208            Impact factor:   2.888


  5 in total

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2.  Big-Data Based Decision-Support Systems to Improve Clinicians' Cognition.

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Review 4.  The use of cognitive task analysis in clinical and health services research - a systematic review.

Authors:  Lizzie Swaby; Peiyao Shu; Daniel Hind; Katie Sutherland
Journal:  Pilot Feasibility Stud       Date:  2022-03-08

5.  Development of a novel hybrid cognitive model validation framework for implementation under COVID-19 restrictions.

Authors:  Paul B Stone; Hailey Marie Nelson; Mary E Fendley; Subhashini Ganapathy
Journal:  Hum Factors Ergon Manuf       Date:  2021-05-12       Impact factor: 1.722

  5 in total

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