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Understanding Emergency Medicine Physicians Multitasking Behaviors Around Interruptions
Author(s) -
Fong Allan,
Ratwani Raj M.
Publication year - 2018
Publication title -
academic emergency medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.221
H-Index - 124
eISSN - 1553-2712
pISSN - 1069-6563
DOI - 10.1111/acem.13496
Subject(s) - human multitasking , task (project management) , medicine , workflow , medical emergency , emergency department , categorization , task switching , computer science , cognitive psychology , nursing , cognition , psychology , artificial intelligence , psychiatry , management , database , economics
Background Interruptions can adversely impact human performance, particularly in fast‐paced and high‐risk environments such as the emergency department ( ED ). Understanding physician behaviors before, during, and after interruptions is important to the design and promotion of safe and effective workflow solutions. However, traditional human factors–based interruption models do not accurately reflect the complexities of real‐world environments like the ED and may not capture multiple interruptions and multitasking. Methods We present a more comprehensive framework for understanding interruptions that is composed of three phases, each with multiple levels: interruption start transition, interruption engagement, and interruption end transition. This three‐phase framework is not constrained to discrete task transitions, providing a robust method to categorize multitasking behaviors around interruptions. We apply this framework in categorizing 457 interruption episodes. Results A total of 457 interruption episodes were captured during 36 hours of observation. The interrupted task was immediately suspended 348 (76.1%) times. Participants engaged in new self‐initiated tasks during the interrupting task 164 (35.9%) times and did not directly resume the interrupted task in 284 (62.1%) interruption episodes. Conclusion Using this framework provides a more detailed description of physician behaviors in complex environments. Understanding the different types of interruption and resumption patterns, which may have a different impact on performance, can support the design of interruption mitigation strategies.