IDEAS home Printed from https://ideas.repec.org/a/inm/ormsom/v16y2014i2p168-183.html

Does Multitasking Improve Performance? Evidence from the Emergency Department

Author

Listed:
  • Diwas Singh KC

    (Goizueta Business School, Emory University, Atlanta, Georgia 30322)

Abstract

This paper examines the effect of multitasking on overall worker performance, as measured by processing time, throughput rate, and output quality using microlevel operational data from the field. Specifically, we study the multitasking behavior of physicians in a busy hospital emergency department (ED). By drawing on recent findings in the experimental psychology literature and the nascent work in cognitive neuroscience, we develop several hypotheses for the effect of multitasking on worker performance. We first examine how multitasking affects a physician's processing time. We find that the total time taken to discharge a given number of patients has a U-shaped response to the level of physician multitasking; that is, multitasking initially helps to reduce the time taken, but only up to a certain threshold level, after which it increases in the level of multitasking. In addition, multitasking significantly impacts quality of care. Although lower levels of multitasking are associated with improved quality of care, at higher levels, additional multitasking leads to a smaller number of detected diagnoses and an increased likelihood of a 24-hour revisit rate to the ED. These findings have important implications for the design and organization of work in general and for the delivery of critical care in particular.

Suggested Citation

  • Diwas Singh KC, 2014. "Does Multitasking Improve Performance? Evidence from the Emergency Department," Manufacturing & Service Operations Management, INFORMS, vol. 16(2), pages 168-183, May.
  • Handle: RePEc:inm:ormsom:v:16:y:2014:i:2:p:168-183
    DOI: 10.1287/msom.2013.0464
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/msom.2013.0464
    Download Restriction: no

    File URL: https://libkey.io/10.1287/msom.2013.0464?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Stephen G. Powell & Kenneth L. Schultz, 2004. "Throughput in Serial Lines with State-Dependent Behavior," Management Science, INFORMS, vol. 50(8), pages 1095-1105, August.
    2. Holmstrom, Bengt & Milgrom, Paul, 1991. "Multitask Principal-Agent Analyses: Incentive Contracts, Asset Ownership, and Job Design," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 7(0), pages 24-52, Special I.
    3. Allahverdi, Ali & Gupta, Jatinder N. D. & Aldowaisan, Tariq, 1999. "A review of scheduling research involving setup considerations," Omega, Elsevier, vol. 27(2), pages 219-239, April.
    4. Viswanathan Krishnan & Steven D. Eppinger & Daniel E. Whitney, 1997. "A Model-Based Framework to Overlap Product Development Activities," Management Science, INFORMS, vol. 43(4), pages 437-451, April.
    5. Diwas S. Kc & Christian Terwiesch, 2009. "Impact of Workload on Service Time and Patient Safety: An Econometric Analysis of Hospital Operations," Management Science, INFORMS, vol. 55(9), pages 1486-1498, September.
    6. Sinan Aral & Erik Brynjolfsson & Marshall Van Alstyne, 2012. "Information, Technology, and Information Worker Productivity," Information Systems Research, INFORMS, vol. 23(3-part-2), pages 849-867, September.
    7. Bradley R. Staats & Francesca Gino, 2012. "Specialization and Variety in Repetitive Tasks: Evidence from a Japanese Bank," Management Science, INFORMS, vol. 58(6), pages 1141-1159, June.
    8. Sriram Narayanan & Sridhar Balasubramanian & Jayashankar M. Swaminathan, 2009. "A Matter of Balance: Specialization, Task Variety, and Individual Learning in a Software Maintenance Environment," Management Science, INFORMS, vol. 55(11), pages 1861-1876, November.
    9. Daniel Levinthal & Claus Rerup, 2006. "Crossing an Apparent Chasm: Bridging Mindful and Less-Mindful Perspectives on Organizational Learning," Organization Science, INFORMS, vol. 17(4), pages 502-513, August.
    10. Ludwig Kuntz & Roman Mennicken & Stefan Scholtes, 2015. "Stress on the Ward: Evidence of Safety Tipping Points in Hospitals," Management Science, INFORMS, vol. 61(4), pages 754-771, April.
    11. Kenneth L. Schultz & David C. Juran & John W. Boudreau, 1999. "The Effects of Low Inventory on the Development of Productivity Norms," Management Science, INFORMS, vol. 45(12), pages 1664-1678, December.
    12. Rogelio Oliva & John D. Sterman, 2001. "Cutting Corners and Working Overtime: Quality Erosion in the Service Industry," Management Science, INFORMS, vol. 47(7), pages 894-914, July.
    13. Diwas Singh KC & Christian Terwiesch, 2012. "An Econometric Analysis of Patient Flows in the Cardiac Intensive Care Unit," Manufacturing & Service Operations Management, INFORMS, vol. 14(1), pages 50-65, January.
    14. Sameer Hasija & Edieal Pinker & Robert A. Shumsky, 2010. "OM Practice--Work Expands to Fill the Time Available: Capacity Estimation and Staffing Under Parkinson's Law," Manufacturing & Service Operations Management, INFORMS, vol. 12(1), pages 1-18, September.
    15. Adam Powell & Sergei Savin & Nicos Savva, 2012. "Physician Workload and Hospital Reimbursement: Overworked Physicians Generate Less Revenue per Patient," Manufacturing & Service Operations Management, INFORMS, vol. 14(4), pages 512-528, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tom Fangyun Tan & Serguei Netessine, 2014. "When Does the Devil Make Work? An Empirical Study of the Impact of Workload on Worker Productivity," Management Science, INFORMS, vol. 60(6), pages 1574-1593, June.
    2. Yuqian Xu & Tom Fangyun Tan & Serguei Netessine, 2022. "The Impact of Workload on Operational Risk: Evidence from a Commercial Bank," Management Science, INFORMS, vol. 68(4), pages 2668-2693, April.
    3. Mirko Kremer & Francis de Véricourt, 2022. "Mismanaging diagnostic accuracy under congestion," ESMT Research Working Papers ESMT-22-01, ESMT European School of Management and Technology.
    4. Delasay, Mohammad & Ingolfsson, Armann & Kolfal, Bora & Schultz, Kenneth, 2019. "Load effect on service times," European Journal of Operational Research, Elsevier, vol. 279(3), pages 673-686.
    5. Michael Freeman & Nicos Savva & Stefan Scholtes, 2017. "Gatekeepers at Work: An Empirical Analysis of a Maternity Unit," Management Science, INFORMS, vol. 63(10), pages 3147-3167, October.
    6. Maria R. Ibanez & Jonathan R. Clark & Robert S. Huckman & Bradley R. Staats, 2018. "Discretionary Task Ordering: Queue Management in Radiological Services," Management Science, INFORMS, vol. 64(9), pages 4389-4407, September.
    7. Diwas S. KC & Bradley R. Staats & Maryam Kouchaki & Francesca Gino, 2020. "Task Selection and Workload: A Focus on Completing Easy Tasks Hurts Performance," Management Science, INFORMS, vol. 66(10), pages 4397-4416, October.
    8. Robert J. Batt & Christian Terwiesch, 2017. "Early Task Initiation and Other Load-Adaptive Mechanisms in the Emergency Department," Management Science, INFORMS, vol. 63(11), pages 3531-3551, November.
    9. Mohammad Delasay & Armann Ingolfsson & Bora Kolfal, 2016. "Modeling Load and Overwork Effects in Queueing Systems with Adaptive Service Rates," Operations Research, INFORMS, vol. 64(4), pages 867-885, August.
    10. Zeynep Akşin & Sarang Deo & Jónas Oddur Jónasson & Kamalini Ramdas, 2021. "Learning from Many: Partner Exposure and Team Familiarity in Fluid Teams," Management Science, INFORMS, vol. 67(2), pages 854-874, February.
    11. Mirko Kremer & Francis de Véricourt, 2023. "Mismanaging Diagnostic Accuracy Under Congestion," Operations Research, INFORMS, vol. 71(3), pages 895-916, May.
    12. Siyuan Yi & Qiguo Gong & Feng Dong & Hui Wang, 2020. "The Effect of Planned Breaks on Worker Productivity and the Moderate Role of Workload in a Manufacturing Environment," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 10(12), pages 1366-1383, December.
    13. Büşra Ergün‐Şahin & Evrim Didem Güneş & Ayşe Kocabıyıkoğlu & Ahmet Keskin, 2022. "How does workload affect test ordering behavior of physicians? An empirical investigation," Production and Operations Management, Production and Operations Management Society, vol. 31(6), pages 2664-2680, June.
    14. Lamar Pierce & Daniel C. Snow & Andrew McAfee, 2015. "Cleaning House: The Impact of Information Technology Monitoring on Employee Theft and Productivity," Management Science, INFORMS, vol. 61(10), pages 2299-2319, October.
    15. Yaroslav Rosokha & Chen Wei, 2024. "Cooperation in Queueing Systems," Management Science, INFORMS, vol. 70(11), pages 7597-7616, November.
    16. Diwas Singh KC & Bradley R. Staats, 2012. "Accumulating a Portfolio of Experience: The Effect of Focal and Related Experience on Surgeon Performance," Manufacturing & Service Operations Management, INFORMS, vol. 14(4), pages 618-633, October.
    17. Maria R. Ibanez & Michael W. Toffel, 2020. "How Scheduling Can Bias Quality Assessment: Evidence from Food-Safety Inspections," Management Science, INFORMS, vol. 66(6), pages 2396-2416, June.
    18. Hao Ding & Sokol Tushe & Diwas Singh KC & Donald K. K. Lee, 2024. "Frontiers in Operations: Valuing Nursing Productivity in Emergency Departments," Manufacturing & Service Operations Management, INFORMS, vol. 26(4), pages 1323-1337, July.
    19. Wilson Lin & Susan Feng Lu & Tianshu Sun, 2023. "Worker Experience and Donor Heterogeneity: The Impact of Charitable Workers on Donors’ Blood Donation Decisions," Manufacturing & Service Operations Management, INFORMS, vol. 25(3), pages 939-957, May.
    20. Felix Miedaner & Ludwig Kuntz & Kerstin Eilermann & Bernhard Roth & Stefan Scholtes, 2024. "Service Quality Implications of Long Periods of Consecutive Working Days: An Empirical Study of Neonatal Intensive Care Nursing Teams," Manufacturing & Service Operations Management, INFORMS, vol. 26(4), pages 1422-1434, July.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:ormsom:v:16:y:2014:i:2:p:168-183. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.