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A Case Study Perspective for Balanced Perioperative Workflow Achievement through Data-Driven Process Improvement

Author

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  • Jim Ryan

    (College of Business, Auburn University at Montgomery, Montgomery, AL, USA)

  • Barbara Doster

    (University of Alabama Birmingham Hospital, Birmingham, AL, USA)

  • Sandra Daily

    (Cullman Regional Medical Center, Cullman, AL, USA)

  • Carmen Lewis

    (Sorrel College of Business, Troy University, Dothan, AL, USA)

Abstract

Based on a 143-month longitudinal study of an academic medical center, this paper examines operations management practices of continuous improvement, workflow balancing, benchmarking, and process reengineering within a hospital's perioperative operations. Specifically, this paper highlights data-driven efforts within perioperative sub-processes to balance overall patient workflow by eliminating bottlenecks, delays, and inefficiencies. This paper illustrates how dynamic technological activities of analysis, evaluation, and synthesis applied to internal and external organizational data can highlight complex relationships within integrated processes to identify process limitations and potential process capabilities, ultimately yielding balanced patient workflow through data-driven perioperative process improvement. Study implications and/or limitations are also included.

Suggested Citation

  • Jim Ryan & Barbara Doster & Sandra Daily & Carmen Lewis, 2016. "A Case Study Perspective for Balanced Perioperative Workflow Achievement through Data-Driven Process Improvement," International Journal of Healthcare Information Systems and Informatics (IJHISI), IGI Global, vol. 11(3), pages 19-41, July.
    • Handle: RePEc:igg:jhisi0:v:11:y:2016:i:3:p:19-41
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