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Bringing Robustness to Patient Flow Management Through Optimized Patient Transports in Hospitals

Author

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  • Thomas Hanne

    (School of Business, University of Applied Sciences Northwestern Switzerland, 4600 Olten, Switzerland)

  • Teresa Melo

    (Department of Business Administration, University of Applied Sciences, D-66123 Saarbrücken, Germany)

  • Stefan Nickel

    (Fraunhofer Institute for Industrial Mathematics, 67663 Kaiserslauten, Germany, and Saarland University, D-66041 Saarbrücken, Germany)

Abstract

Intrahospital transports are often required for diagnostic or therapeutic reasons. Depending on the hospital layout, transportation between nursing wards and service units is either provided by ambulances or by trained personnel who accompany patients on foot. In many large German hospitals, the patient transport service is poorly managed and lacks work-flow coordination. This contributes to higher hospital costs (e.g., because a patient is not delivered to the operating room on time) and to patient inconvenience (e.g., because of long waiting times). We designed a computer-based planning system, Opti- TRANS © , that supports all phases of the transportation flow, including travel booking, dispatching transport requests, and monitoring and reporting trips in real time. The methodology, which we developed to solve the underlying optimization problem---a dynamic dial-a-ride problem with hospital-specific constraints, draws on fast heuristic methods to ensure the efficient and timely provision of transports. We illustrate the strong impact of Opti- TRANS on the daily performance of the patient transportation service of a large German hospital. The major benefits of Opti- TRANS include streamlined transportation processes and work flow, significant savings, and improved patient satisfaction. Moreover, it has contributed to increased awareness among hospital staff of the importance of implementing efficient logistics practices.

Suggested Citation

  • Thomas Hanne & Teresa Melo & Stefan Nickel, 2009. "Bringing Robustness to Patient Flow Management Through Optimized Patient Transports in Hospitals," Interfaces, INFORMS, vol. 39(3), pages 241-255, June.
  • Handle: RePEc:inm:orinte:v:39:y:2009:i:3:p:241-255
    DOI: 10.1287/inte.1080.0379
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    References listed on IDEAS

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    Cited by:

    1. Detti, Paolo & Papalini, Francesco & Lara, Garazi Zabalo Manrique de, 2017. "A multi-depot dial-a-ride problem with heterogeneous vehicles and compatibility constraints in healthcare," Omega, Elsevier, vol. 70(C), pages 1-14.
    2. Zhang, Zhenzhen & Liu, Mengyang & Lim, Andrew, 2015. "A memetic algorithm for the patient transportation problem," Omega, Elsevier, vol. 54(C), pages 60-71.
    3. Rossana Cavagnini & Valentina Morandi, 2021. "Implementing Horizontal Cooperation in Public Transport and Parcel Deliveries: The Cooperative Share-A-Ride Problem," Sustainability, MDPI, vol. 13(8), pages 1-20, April.
    4. Fröhlich von Elmbach, Alexander & Scholl, Armin & Walter, Rico, 2019. "Minimizing the maximal ergonomic burden in intra-hospital patient transportation," European Journal of Operational Research, Elsevier, vol. 276(3), pages 840-854.
    5. Ge, Qian & Han, Ke & Liu, Xiaobo, 2021. "Matching and routing for shared autonomous vehicles in congestible network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 156(C).
    6. Gabrel, Virginie & Murat, Cécile & Thiele, Aurélie, 2014. "Recent advances in robust optimization: An overview," European Journal of Operational Research, Elsevier, vol. 235(3), pages 471-483.
    7. Verena Schmid & Karl F. Doerner, 2014. "Examination and Operating Room Scheduling Including Optimization of Intrahospital Routing," Transportation Science, INFORMS, vol. 48(1), pages 59-77, February.
    8. LIAN, Ying & LUCAS, Flavien & SÖRENSEN, Kenneth, 2022. "On-demand bus routing problem with dynamic stochastic requests and prepositioning," Working Papers 2022004, University of Antwerp, Faculty of Business and Economics.
    9. Kergosien, Y. & Lenté, Ch. & Piton, D. & Billaut, J.-C., 2011. "A tabu search heuristic for the dynamic transportation of patients between care units," European Journal of Operational Research, Elsevier, vol. 214(2), pages 442-452, October.
    10. Lian, Ying & Lucas, Flavien & Sörensen, Kenneth, 2024. "Prepositioning can improve the performance of a dynamic stochastic on-demand public bus system," European Journal of Operational Research, Elsevier, vol. 312(1), pages 338-356.
    11. Villa, Stefano & Prenestini, Anna & Giusepi, Isabella, 2014. "A framework to analyze hospital-wide patient flow logistics: Evidence from an Italian comparative study," Health Policy, Elsevier, vol. 115(2), pages 196-205.
    12. Bruno P. Bruck & Filippo Castegini & Jean-François Cordeau & Manuel Iori & Tommaso Poncemi & Dario Vezzali, 2020. "A Decision Support System for Attended Home Services," Interfaces, INFORMS, vol. 50(2), pages 137-152, March.
    13. David Scheinker & Margaret L. Brandeau, 2020. "Implementing Analytics Projects in a Hospital: Successes, Failures, and Opportunities," Interfaces, INFORMS, vol. 50(3), pages 176-189, May.
    14. Vinicius M. Ton & Nathália C. O. da Silva & Angel Ruiz & José E. Pécora & Cassius T. Scarpin & Valérie Bélenger, 2024. "Real-time management of intra-hospital patient transport requests," Health Care Management Science, Springer, vol. 27(2), pages 208-222, June.
    15. Ho, Sin C. & Szeto, W.Y. & Kuo, Yong-Hong & Leung, Janny M.Y. & Petering, Matthew & Tou, Terence W.H., 2018. "A survey of dial-a-ride problems: Literature review and recent developments," Transportation Research Part B: Methodological, Elsevier, vol. 111(C), pages 395-421.
    16. Zamiela, Christian & Hossain, Niamat Ullah Ibne & Jaradat, Raed, 2022. "Enablers of resilience in the healthcare supply chain: A case study of U.S healthcare industry during COVID-19 pandemic," Research in Transportation Economics, Elsevier, vol. 93(C).
    17. Danny Segev & Retsef Levi & Peter Dunn & Warren Sandberg, 2012. "Modeling the impact of changing patient transportation systems on peri-operative process performance in a large hospital: insights from a computer simulation study," Health Care Management Science, Springer, vol. 15(2), pages 155-169, June.
    18. Sapan Tiwari & Neema Nassir & Patricia Sauri Lavieri, 2024. "Review and Classification of Objectives in Dynamic Dial-a-Ride Systems: A Triple Bottom Line Approach of Sustainability," Sustainability, MDPI, vol. 16(13), pages 1-31, July.
    19. Yves Molenbruch & Kris Braekers & An Caris, 2017. "Typology and literature review for dial-a-ride problems," Annals of Operations Research, Springer, vol. 259(1), pages 295-325, December.
    20. Alexander Jungwirth & Guy Desaulniers & Markus Frey & Rainer Kolisch, 2022. "Exact Branch-Price-and-Cut for a Hospital Therapist Scheduling Problem with Flexible Service Locations and Time-Dependent Location Capacity," INFORMS Journal on Computing, INFORMS, vol. 34(2), pages 1157-1175, March.

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