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International Conference on Health Care Systems Engineering

ICHCSE 2017: Health Care Systems Engineering pp 17–26Cite as

Analytical Approaches to Operating Room Management

Projects at Lucile Packard Children’s Hospital Stanford

Part of the Springer Proceedings in Mathematics & Statistics book series (PROMS,volume 210)

Abstract

In recent decades, healthcare has become increasingly expensive, creating pressure on healthcare providers to cut costs while maintaining or improving quality. Operations research can play an important role in supporting such efforts. A key challenge faced by hospital planners is scheduling and management of operating rooms, as operating rooms typically provide highly specialized care, require significant resources, and contribute significantly to a hospital’s bottom line. We describe recent work on hospital operating room management at Lucile Packard Children’s Hospital Stanford. We describe preliminary outcomes of three projects aimed at improving the efficiency of the hospital’s operating rooms: machine learning to improve surgical case length estimation; queuing analysis to improve operational efficiency; and integer programming to schedule cases to reduce surgical delays.

Keywords

  • Healthcare
  • Operations management
  • Optimization
  • Machine learning
  • Queueing

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Author information

Authors and Affiliations

  1. Department of Management Science and Engineering, Stanford University, Lucile Packard Children’s Hospital Stanford, Stanford, CA, USA

    David Scheinker

  2. Department of Management Science and Engineering, Stanford University, Stanford, CA, USA

    Margaret L. Brandeau

Authors
  1. David Scheinker
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  2. Margaret L. Brandeau
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Corresponding author

Correspondence to Margaret L. Brandeau .

Editor information

Editors and Affiliations

  1. Dipartimento di Ingegneria dell’Informazione, University of Florence, Florence, Italy

    Prof. Paola Cappanera

  2. Department of Industrial and Systems Engineering, University of Wisconsin–Madison, Madison, Wisconsin, USA

    Prof. Jingshan Li

  3. Department of Mechanical Engineering, Politecnico di Milano, Milan, Italy

    Prof. Andrea Matta

  4. Laboratoire Génie Industriel, École Centrale Paris, Châtenay-Malabry, France

    Prof. Evren Sahin

  5. OG Productie en Logistiek Leuven, Katholieke Universiteit Leuven, Leuven, Belgium

    Prof. Nico J. Vandaele

  6. Dipartimento di Ingegneria Industriale, University of Florence, Florence, Italy

    Dr. Filippo Visintin

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Scheinker, D., Brandeau, M.L. (2017). Analytical Approaches to Operating Room Management. In: Cappanera, P., Li, J., Matta, A., Sahin, E., Vandaele, N., Visintin, F. (eds) Health Care Systems Engineering. ICHCSE 2017. Springer Proceedings in Mathematics & Statistics, vol 210. Springer, Cham. https://doi.org/10.1007/978-3-319-66146-9_2

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