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Cognitive Task Analysis to Evaluate Resident Physician Decision Making in the Intensive Care Unit
Jason N Mansoori1, Stephanie Gravitz2, Kathryne D Reed1
1Division of Pulmonary and Critical Care Medicine and.
Trainees often misapply heuristics and cognitive biases in clinical decisions, particularly in fluid resuscitation for septic shock. Cognitive task analysis reveals how contextual factors and intuition influence these high-risk choices, informing better medical education strategies.
Area of Science:
- Medical Education
- Cognitive Psychology
- Clinical Decision Making
Background:
- Heuristics and clinical intuition are commonly used in medical decision-making under uncertainty.
- Trainees may struggle with appropriate heuristic selection and application due to limited experience.
- Understanding cognitive biases in trainees is crucial for improving clinical reasoning and reducing errors.
Purpose of the Study:
- To evaluate cognitive task analysis (CTA) as a method for studying trainee decision-making.
- To investigate how internal medicine residents make high-risk fluid resuscitation decisions in septic shock.
Main Methods:
- Utilized the critical decision method, a CTA technique, for semistructured interviews with residents.
- Focused on fluid resuscitation decisions for septic shock patients in a medical intensive care unit.
- Analyzed interview data using a template approach guided by the Recognition-Primed Decision model.
Main Results:
- Seven key domains influencing fluid resuscitation decisions were identified.
- Decisions were significantly affected by clinical intuition, non-physiological factors, and volume-based heuristics.
- Common cognitive biases observed included premature closure, confirmation bias, and status quo bias.
Conclusions:
- Cognitive task analysis is effective for examining trainee decision-making in complex clinical scenarios.
- Identifying trainees' specific heuristics and biases can guide the development of targeted educational interventions.
- Improved understanding of clinical reasoning can enhance patient safety and training effectiveness.
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