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Treatment speed and high load in the Emergency Department—does staff quality matter?

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  • Ludwig Kuntz
  • Sandra Sülz

Abstract

Research in the field of operations management and medicine analyzed how workload affects productivity and patient outcomes. However, staff quality has largely been neglected, and if staffing information has indeed been included, then it takes the form of quantitative measures like staff–to–patient ratios. We therefore seek to analyze how education and experience are directly associated with effort. How do responses to workload differ with respect to education and experience? By analyzing a single hospital unit, we are able to establish a link between staff quality and patient outcomes, allowing us to demonstrate empirically that knowledge and experience are highly relevant in staff members’ responses to increasing system load. The systematic aligning of staffing with expected system load should therefore consider not only staffing quantity but also staffing quality. Provided with a reliable prediction of system load, this knowledge would allow managers to generate savings since they can assign high-quality staff more effectively. Copyright Springer Science+Business Media New York 2013

Suggested Citation

  • Ludwig Kuntz & Sandra Sülz, 2013. "Treatment speed and high load in the Emergency Department—does staff quality matter?," Health Care Management Science, Springer, vol. 16(4), pages 366-376, December.
    • Handle: RePEc:kap:hcarem:v:16:y:2013:i:4:p:366-376
    DOI: 10.1007/s10729-013-9233-3
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    References listed on IDEAS

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    1. Wallace J. Hopp & Seyed M. R. Iravani & Gigi Y. Yuen, 2007. "Operations Systems with Discretionary Task Completion," Management Science, INFORMS, vol. 53(1), pages 61-77, January.
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    6. 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.
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    Cited by:

    1. Farzad Zaerpour & Marco Bijvank & Huiyin Ouyang & Zhankun Sun, 2022. "Scheduling of Physicians with Time‐Varying Productivity Levels in Emergency Departments," Production and Operations Management, Production and Operations Management Society, vol. 31(2), pages 645-667, February.
    2. Song-Hee Kim & Jordan Tong & Carol Peden, 2020. "Admission Control Biases in Hospital Unit Capacity Management: How Occupancy Information Hurdles and Decision Noise Impact Utilization," Management Science, INFORMS, vol. 66(11), pages 5151-5170, November.

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