Markov decision process model for patient admission decision at an emergency department under a surge demand
Author
Abstract
Suggested Citation
DOI: 10.1007/s10696-017-9276-8
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Sarang Deo & Itai Gurvich, 2011. "Centralized vs. Decentralized Ambulance Diversion: A Network Perspective," Management Science, INFORMS, vol. 57(7), pages 1300-1319, July.
- Ramirez-Nafarrate, Adrian & Baykal Hafizoglu, A. & Gel, Esma S. & Fowler, John W., 2014. "Optimal control policies for ambulance diversion," European Journal of Operational Research, Elsevier, vol. 236(1), pages 298-312.
- Evin Uzun Jacobson & Nilay Tanık Argon & Serhan Ziya, 2012. "Priority Assignment in Emergency Response," Operations Research, INFORMS, vol. 60(4), pages 813-832, August.
- Kuang Xu & Carri W. Chan, 2016. "Using Future Information to Reduce Waiting Times in the Emergency Department via Diversion," Manufacturing & Service Operations Management, INFORMS, vol. 18(3), pages 314-331, July.
- Shelby Brumelle & Darius Walczak, 2003. "Dynamic Airline Revenue Management with Multiple Semi-Markov Demand," Operations Research, INFORMS, vol. 51(1), pages 137-148, February.
- Gad Allon & Sarang Deo & Wuqin Lin, 2013. "The Impact of Size and Occupancy of Hospital on the Extent of Ambulance Diversion: Theory and Evidence," Operations Research, INFORMS, vol. 61(3), pages 544-562, June.
- Alex F. Mills & Nilay Tanık Argon & Serhan Ziya, 2013. "Resource-Based Patient Prioritization in Mass-Casualty Incidents," Manufacturing & Service Operations Management, INFORMS, vol. 15(3), pages 361-377, July.
- Sung, Inkyung & Lee, Taesik, 2016. "Optimal allocation of emergency medical resources in a mass casualty incident: Patient prioritization by column generation," European Journal of Operational Research, Elsevier, vol. 252(2), pages 623-634.
- Izack Cohen & Avishai Mandelbaum & Noa Zychlinski, 2014. "Minimizing mortality in a mass casualty event: fluid networks in support of modeling and staffing," IISE Transactions, Taylor & Francis Journals, vol. 46(7), pages 728-741.
- Dong Li & Kevin D. Glazebrook, 2010. "An approximate dynamic programing approach to the development of heuristics for the scheduling of impatient jobs in a clearing system," Naval Research Logistics (NRL), John Wiley & Sons, vol. 57(3), pages 225-236, April.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Lee, Hyun-Rok & Lee, Taesik, 2021. "Multi-agent reinforcement learning algorithm to solve a partially-observable multi-agent problem in disaster response," European Journal of Operational Research, Elsevier, vol. 291(1), pages 296-308.
- Alexis Roussel & Romain Biard & Marc Deschamps & Mostapha Diss, 2023.
"Modeling medical material shortage using Markov processes,"
Working Papers
2023-04, CRESE.
- Romain Biard & Marc Deschamps & Mostapha Diss & Alexis Roussel, 2023. "Modeling medical material shortage using Markov processes," Working Papers hal-04222226, HAL.
- Zamani, Hamed & Parvaresh, Fereshteh & Izady, Navid & Zanjirani Farahani, Reza, 2024. "Admission, discharge, and transfer control in patient flow logistics: Overview and future research," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 191(C).
- Gang Du & Xinyue Li & Hui Hu & Xiaoling Ouyang, 2018. "Optimizing Daily Service Scheduling for Medical Diagnostic Equipment Considering Patient Satisfaction and Hospital Revenue," Sustainability, MDPI, vol. 10(9), pages 1-23, September.
- Tongxin Liu & Jun Li & Xihui Wang, 2024. "Enhancing the cost performance in regular humanitarian logistics: location-routing and delivery frequency optimization," Flexible Services and Manufacturing Journal, Springer, vol. 36(3), pages 1157-1185, September.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Lee, Hyun-Rok & Lee, Taesik, 2021. "Multi-agent reinforcement learning algorithm to solve a partially-observable multi-agent problem in disaster response," European Journal of Operational Research, Elsevier, vol. 291(1), pages 296-308.
- Farahani, Reza Zanjirani & Lotfi, M.M. & Baghaian, Atefe & Ruiz, Rubén & Rezapour, Shabnam, 2020. "Mass casualty management in disaster scene: A systematic review of OR&MS research in humanitarian operations," European Journal of Operational Research, Elsevier, vol. 287(3), pages 787-819.
- Liu, Yang & Cui, Na & Zhang, Jianghua, 2019. "Integrated temporary facility location and casualty allocation planning for post-disaster humanitarian medical service," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 1-16.
- Pinar Keskinocak & Nicos Savva, 2020. "A Review of the Healthcare-Management (Modeling) Literature Published in Manufacturing & Service Operations Management," Manufacturing & Service Operations Management, INFORMS, vol. 22(1), pages 59-72, January.
- Rezapour, Shabnam & Naderi, Nazanin & Morshedlou, Nazanin & Rezapourbehnagh, Shaghayegh, 2018. "Optimal deployment of emergency resources in sudden onset disasters," International Journal of Production Economics, Elsevier, vol. 204(C), pages 365-382.
- Shuwan Zhu & Wenjuan Fan & Xueping Li & Shanlin Yang, 2023. "Ambulance dispatching and operating room scheduling considering reusable resources in mass-casualty incidents," Operational Research, Springer, vol. 23(2), pages 1-37, June.
- Tinglong Dai & Sridhar Tayur, 2020. "OM Forum—Healthcare Operations Management: A Snapshot of Emerging Research," Manufacturing & Service Operations Management, INFORMS, vol. 22(5), pages 869-887, September.
- Lee, Hyun-Rok & Lee, Taesik, 2024. "Reward function design method to achieve system-level objectives in ambulance diversion problem," European Journal of Operational Research, Elsevier, vol. 317(3), pages 1003-1014.
- Retsef Levi & Thomas Magnanti & Yaron Shaposhnik, 2019. "Scheduling with Testing," Management Science, INFORMS, vol. 65(2), pages 776-793, February.
- Emmett J. Lodree & Nezih Altay & Robert A. Cook, 2019. "Staff assignment policies for a mass casualty event queuing network," Annals of Operations Research, Springer, vol. 283(1), pages 411-442, December.
- Dong Li & Li Ding & Stephen Connor, 2020. "When to Switch? Index Policies for Resource Scheduling in Emergency Response," Production and Operations Management, Production and Operations Management Society, vol. 29(2), pages 241-262, February.
- Li Zhu & Yeming Gong & Yishui Xu & Jun Gu, 2019. "Emergency relief routing models for injured victims considering equity and priority," Annals of Operations Research, Springer, vol. 283(1), pages 1573-1606, December.
- Mengyu Li & Peter Vanberkel & Alix J. E. Carter, 2019. "A review on ambulance offload delay literature," Health Care Management Science, Springer, vol. 22(4), pages 658-675, December.
- Noa Zychlinski, 2023. "Applications of fluid models in service operations management," Queueing Systems: Theory and Applications, Springer, vol. 103(1), pages 161-185, February.
- Kuang Xu & Carri W. Chan, 2016. "Using Future Information to Reduce Waiting Times in the Emergency Department via Diversion," Manufacturing & Service Operations Management, INFORMS, vol. 18(3), pages 314-331, July.
- Zhankun Sun & Nilay Tan?k Argon & Serhan Ziya, 2018. "Patient Triage and Prioritization Under Austere Conditions," Management Science, INFORMS, vol. 64(10), pages 4471-4489, October.
- Junfei Huang & Boaz Carmeli & Avishai Mandelbaum, 2015. "Control of Patient Flow in Emergency Departments, or Multiclass Queues with Deadlines and Feedback," Operations Research, INFORMS, vol. 63(4), pages 892-908, August.
- Galit B. Yom-Tov & Avishai Mandelbaum, 2014. "Erlang-R: A Time-Varying Queue with Reentrant Customers, in Support of Healthcare Staffing," Manufacturing & Service Operations Management, INFORMS, vol. 16(2), pages 283-299, May.
- Alex F. Mills & Jonathan E. Helm & Yu Wang, 2021. "Surge Capacity Deployment in Hospitals: Effectiveness of Response and Mitigation Strategies," Manufacturing & Service Operations Management, INFORMS, vol. 23(2), pages 367-387, March.
- Shuwan Zhu & Wenjuan Fan & Shanlin Yang & Panos M. Pardalos, 2023. "Scheduling operating rooms of multiple hospitals considering transportation and deterioration in mass-casualty incidents," Annals of Operations Research, Springer, vol. 321(1), pages 717-753, February.
More about this item
Keywords
Disaster response; Emergency department; Admission control; Mass casualty incident; Markov decision process; Optimal policy;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:flsman:v:30:y:2018:i:1:d:10.1007_s10696-017-9276-8. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.