research-article

A Predictive Model of Emergency Physician Task Resumption Following Interruptions

Authors:

A. Zachary Hettinger,

Raj M. RatwaniAuthors Info & Claims

CHI '17: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

Pages 2405 - 2410

https://doi.org/10.1145/3025453.3025700

Published: 02 May 2017 Publication History

Abstract

Interruptions in the emergency department (ED) can have serious patient safety consequences, and few solutions exist to mitigate the disruptiveness of interruptions. We developed a theoretically motivated model to predict the likelihood of emergency physicians returning to an interrupted task. Eighteen emergency physicians were observed individually for two-hour blocks of time, resulting in a total of 2160 minutes of observation and 231 interruptions. We used a mixed effects logistic regression model to predict the likelihood of primary task resumption after interruptions. The likelihood of primary task resumption was predicted by memory decay, measured by the duration of the interruption, workload, measured by the patient volume during the shift, and whether shift was day or night. With a better understanding of these interruptions, we can help design interventions to manage interruptions, minimize medical errors, and improve patient safety.

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Cited By

Chopra SCarroll JPater J(2024)Providing Context to the "Unknown": Patient and Provider Reflections on Connecting Personal Tracking, Patient-Reported Insights, and EHR Data within a Post-COVID ClinicProceedings of the ACM on Human-Computer Interaction10.1145/36869888:CSCW2(1-34)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3686988
Bahnsen KTiemann LPlabst LGrundgeiger T(2024)Augmented Reality Cues Facilitate Task Resumption after Interruptions in Computer-Based and Physical TasksProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642666(1-16)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642666
Hirsch PKoch IGrundgeiger T(2022)Task InterruptionsHandbook of Human Multitasking10.1007/978-3-031-04760-2_4(145-188)Online publication date: 13-Sep-2022
https://doi.org/10.1007/978-3-031-04760-2_4
Show More Cited By

Index Terms

A Predictive Model of Emergency Physician Task Resumption Following Interruptions
1. Applied computing
  1. Life and medical sciences
2. Human-centered computing
  1. Collaborative and social computing

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Published In

cover image ACM Conferences

CHI '17: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

May 2017

7138 pages

ISBN:9781450346559

DOI:10.1145/3025453

General Chairs:
Gloria Mark
University of California Irvine
,
Susan Fussell
Cornell University
,
Program Chairs:
Cliff Lampe
University of Michigan
,
m.c. schraefel
University of Southampton
,
Juan Pablo Hourcade
University of Iowa
,
Caroline Appert
Université Paris-Sud
,
Daniel Wigdor
University of Toronto

Copyright © 2017 ACM.

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Publication History

Published: 02 May 2017

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Agency for Healthcare Research and Quality (AHRQ), U.S. Department of Health and Human Services

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CHI '17

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SIGCHI

CHI '17: CHI Conference on Human Factors in Computing Systems

May 6 - 11, 2017

Colorado, Denver, USA

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CHI '17 Paper Acceptance Rate 600 of 2,400 submissions, 25%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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CHI '25

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CHI Conference on Human Factors in Computing Systems

April 26 - May 1, 2025

Yokohama , Japan

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Cited By

Chopra SCarroll JPater J(2024)Providing Context to the "Unknown": Patient and Provider Reflections on Connecting Personal Tracking, Patient-Reported Insights, and EHR Data within a Post-COVID ClinicProceedings of the ACM on Human-Computer Interaction10.1145/36869888:CSCW2(1-34)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3686988
Bahnsen KTiemann LPlabst LGrundgeiger T(2024)Augmented Reality Cues Facilitate Task Resumption after Interruptions in Computer-Based and Physical TasksProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642666(1-16)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642666
Hirsch PKoch IGrundgeiger T(2022)Task InterruptionsHandbook of Human Multitasking10.1007/978-3-031-04760-2_4(145-188)Online publication date: 13-Sep-2022
https://doi.org/10.1007/978-3-031-04760-2_4
Mizan TTaghipour S(2020)A causal model for short‐term time series analysis to predict incoming Medicare workloadJournal of Forecasting10.1002/for.271740:2(228-242)Online publication date: 20-Jul-2020
https://doi.org/10.1002/for.2717

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