Modeling Task Scheduling Decisions of Emergency Department Physicians

Area of Science:

• Decision science
• Cognitive psychology
• Emergency medicine

Background:

• Task attributes like priority, difficulty, salience, and engagement influence scheduling decisions.
• Existing models, such as Strategic Task Overload Management-No Priority (STOM-NP), suggest equal weighting of attributes.
• Priority alone may also predict scheduling behavior, with experience potentially moderating these effects.

Purpose of the Study:

• To evaluate task-scheduling decisions in emergency departments.
• To compare emergency physicians' task-scheduling models across different experience levels.
• To investigate how task attributes interact to influence scheduling in complex environments.

Main Methods:

• Employed a shortened judgment analysis approach using an experimental design.
• Emergency physicians with two experience levels rank-ordered task sets varying in attributes.
• Utilized Bayesian statistics to identify the best-fit decision strategies.

Main Results:

• Both STOM-NP and a priority-only model provided the best fit for decision strategies.
• STOM-NP best explained the scheduling of lower-experienced physicians.
• Higher-experienced physicians' decisions were best described by a priority-only model.

Conclusions:

• Physician experience significantly influences task-scheduling decisions in complex environments.
• More experienced physicians adopt a more parsimonious decision process, relying heavily on task priority.
• Findings offer insights for optimizing training and evaluation strategies for emergency physicians.