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Managing admission and discharge processes in intensive care units

Author

Listed:
  • Jie Bai

    (School of Medicine, University of Ulm)

  • Andreas Fügener

    (University of Cologne)

  • Jochen Gönsch

    (University of Duisburg-Essen)

  • Jens O. Brunner

    (University of Augsburg)

  • Manfred Blobner

    (Technical University of Munich, Klinikum Rechts der Isar)

Abstract

The intensive care unit (ICU) is one of the most crucial and expensive resources in a health care system. While high fixed costs usually lead to tight capacities, shortages have severe consequences. Thus, various challenging issues exist: When should an ICU admit or reject arriving patients in general? Should ICUs always be able to admit critical patients or rather focus on high utilization? On an operational level, both admission control of arriving patients and demand-driven early discharge of currently residing patients are decision variables and should be considered simultaneously. This paper discusses the trade-off between medical and monetary goals when managing intensive care units by modeling the problem as a Markov decision process. Intuitive, myopic rule mimicking decision-making in practice is applied as a benchmark. In a numerical study based on real-world data, we demonstrate that the medical results deteriorate dramatically when focusing on monetary goals only, and vice versa. Using our model, we illustrate the trade-off along an efficiency frontier that accounts for all combinations of medical and monetary goals. Coming from a solution that optimizes monetary costs, a significant reduction of expected mortality can be achieved at little additional monetary cost.

Suggested Citation

  • Jie Bai & Andreas Fügener & Jochen Gönsch & Jens O. Brunner & Manfred Blobner, 2021. "Managing admission and discharge processes in intensive care units," Health Care Management Science, Springer, vol. 24(4), pages 666-685, December.
  • Handle: RePEc:kap:hcarem:v:24:y:2021:i:4:d:10.1007_s10729-021-09560-6
    DOI: 10.1007/s10729-021-09560-6
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    References listed on IDEAS

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    1. Elisa F. Long & Kusum S. Mathews, 2018. "The Boarding Patient: Effects of ICU and Hospital Occupancy Surges on Patient Flow," Production and Operations Management, Production and Operations Management Society, vol. 27(12), pages 2122-2143, December.
    2. Andreas Fügener & Sebastian Schiffels & Rainer Kolisch, 2017. "Overutilization and underutilization of operating rooms - insights from behavioral health care operations management," Health Care Management Science, Springer, vol. 20(1), pages 115-128, March.
    3. Kim, Seung-Chul & Horowitz, Ira & Young, Karl K. & Buckley, Thomas A., 1999. "Analysis of capacity management of the intensive care unit in a hospital," European Journal of Operational Research, Elsevier, vol. 115(1), pages 36-46, May.
    4. Jonathan E. Helm & Adel Alaeddini & Jon M. Stauffer & Kurt M. Bretthauer & Ted A. Skolarus, 2016. "Reducing Hospital Readmissions by Integrating Empirical Prediction with Resource Optimization," Production and Operations Management, Production and Operations Management Society, vol. 25(2), pages 233-257, February.
    5. Christiane Barz & Kumar Rajaram, 2015. "Elective Patient Admission and Scheduling under Multiple Resource Constraints," Production and Operations Management, Production and Operations Management Society, vol. 24(12), pages 1907-1930, December.
    6. Carri W. Chan & Vivek F. Farias & Nicholas Bambos & Gabriel J. Escobar, 2012. "Optimizing Intensive Care Unit Discharge Decisions with Patient Readmissions," Operations Research, INFORMS, vol. 60(6), pages 1323-1341, December.
    7. Jing Li & Ming Dong & Wenhui Zhao, 2015. "Admissions optimisation and premature discharge decisions in intensive care units," International Journal of Production Research, Taylor & Francis Journals, vol. 53(24), pages 7329-7342, December.
    8. Maartje Zonderland & Richard Boucherie & Nelly Litvak & Carmen Vleggeert-Lankamp, 2010. "Planning and scheduling of semi-urgent surgeries," Health Care Management Science, Springer, vol. 13(3), pages 256-267, September.
    9. Kim, Seung-Chul & Horowitz, Ira, 2002. "Scheduling hospital services: the efficacy of elective-surgery quotas," Omega, Elsevier, vol. 30(5), pages 335-346, October.
    10. Muer Yang & Michael J. Fry & Corey Scurlock, 2015. "The ICU will see you now: efficient–equitable admission control policies for a surgical ICU with batch arrivals," IISE Transactions, Taylor & Francis Journals, vol. 47(6), pages 586-599, June.
    11. Saied Samiedaluie & Beste Kucukyazici & Vedat Verter & Dan Zhang, 2017. "Managing Patient Admissions in a Neurology Ward," Operations Research, INFORMS, vol. 65(3), pages 635-656, June.
    12. Fügener, Andreas & Hans, Erwin W. & Kolisch, Rainer & Kortbeek, Nikky & Vanberkel, Peter T., 2014. "Master surgery scheduling with consideration of multiple downstream units," European Journal of Operational Research, Elsevier, vol. 239(1), pages 227-236.
    13. Wenqi Hu & Carri W. Chan & José R. Zubizarreta & Gabriel J. Escobar, 2018. "An Examination of Early Transfers to the ICU Based on a Physiologic Risk Score," Manufacturing & Service Operations Management, INFORMS, vol. 20(3), pages 531-549, July.
    14. Steven Thompson & Manuel Nunez & Robert Garfinkel & Matthew D. Dean, 2009. "OR Practice---Efficient Short-Term Allocation and Reallocation of Patients to Floors of a Hospital During Demand Surges," Operations Research, INFORMS, vol. 57(2), pages 261-273, April.
    15. Otavio Bittencourt & Vedat Verter & Morty Yalovsky, 2018. "Hospital capacity management based on the queueing theory," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 67(2), pages 224-238, February.
    16. Song-Hee Kim & Carri W. Chan & Marcelo Olivares & Gabriel Escobar, 2015. "ICU Admission Control: An Empirical Study of Capacity Allocation and Its Implication for Patient Outcomes," Management Science, INFORMS, vol. 61(1), pages 19-38, January.
    17. Diwakar Gupta & Lei Wang, 2008. "Revenue Management for a Primary-Care Clinic in the Presence of Patient Choice," Operations Research, INFORMS, vol. 56(3), pages 576-592, June.
    18. Litvak, Nelly & van Rijsbergen, Marleen & Boucherie, Richard J. & van Houdenhoven, Mark, 2008. "Managing the overflow of intensive care patients," European Journal of Operational Research, Elsevier, vol. 185(3), pages 998-1010, March.
    19. Yasin Gocgun & Martin Puterman, 2014. "Dynamic scheduling with due dates and time windows: an application to chemotherapy patient appointment booking," Health Care Management Science, Springer, vol. 17(1), pages 60-76, March.
    20. 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.
    21. Ilona W M Verburg & Nicolette F de Keizer & Evert de Jonge & Niels Peek, 2014. "Comparison of Regression Methods for Modeling Intensive Care Length of Stay," PLOS ONE, Public Library of Science, vol. 9(10), pages 1-11, October.
    22. Jie Bai & Andreas Fügener & Jan Schoenfelder & Jens O. Brunner, 2018. "Operations research in intensive care unit management: a literature review," Health Care Management Science, Springer, vol. 21(1), pages 1-24, March.
    23. Gregory Dobson & Hsiao-Hui Lee & Edieal Pinker, 2010. "A Model of ICU Bumping," Operations Research, INFORMS, vol. 58(6), pages 1564-1576, December.
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