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A Markov decision process model of allocating emergency medical resource among multi-priority injuries

Ke Wang, Yan Ni, Lindu Zhao
2017 International Journal of Mathematics in Operational Research (IJMOR)  
We develop a Markov Decision Process model with the objective of maximizing life saving. The delay costs are taken into account in the model. Then, we give an effective algorithm.  ...  Therefore, this paper focuses on the emergency medical resources allocation problem in hospitals at the beginning of disaster.  ...  This work is partially supported by the Natural Science Foundation of China (71390333, 71171050).  ... 
doi:10.1504/ijmor.2017.10000854 fatcat:yjxip5msjnfxnfwbswmva5jc44

A Markov decision process model of allocating emergency medical resource among multi-priority injuries

Yan Ni, Ke Wang, Lindu Zhao
2017 International Journal of Mathematics in Operational Research (IJMOR)  
., Wang, K. and Zhao, L. (2017) 'A Markov decision process model of allocating emergency medical resource among multi-priority injuries', Int. .  ...  Keywords: emergency management; medical resource allocation; Markov decision process; multi-priority injuries; operational research.  ...  The authors are grateful for the valuable comments and suggestions of the anonymous referees that have improved the quality of the article.  ... 
doi:10.1504/ijmor.2017.080738 fatcat:wnmromxjnvc5bg3f47c5jatoya

Health Monitoring based on Internet of Medical Things: Architecture, Enabling Technologies, and Applications

Kefeng Wei, Lincong Zhang, Yi Guo, Xin Jiang
2020 IEEE Access  
Due to the posture alteration and mobility of users, the topology of the IoMT changes frequently, which increases the difficulty for resource allocation and routing strategy.  ...  Internet of Medical Things (IoMT).  ...  [31] took constrained Markov decision process into the dynamically sensors scheduling for channel use.  ... 
doi:10.1109/access.2020.2971654 fatcat:3sps7ewmzbek5j6jagkkrmvt4a

Taxonomic classification of planning decisions in health care: a structured review of the state of the art in OR/MS

Peter J H Hulshof, Nikky Kortbeek, Richard J Boucherie, Erwin W Hans, Piet J M Bakker
2012 Health Systems  
We provide a comprehensive overview of the typical decisions to be made in resource capacity planning and control in health care, and a structured review of relevant articles from the field of Operations  ...  In this section, we identify the resource capacity planning and control decisions for each of the six care services  ...  Acknowledgements This research is supported by the Dutch Technology Foundation STW, applied science division of NWO and the Technology Program of the Ministry of Economic Affairs.  ... 
doi:10.1057/hs.2012.18 fatcat:vpaczuhxkjbe5jvloz7ao7xuga

Operations Research in Healthcare: a survey

Abdur Rais, Ana Viana
2010 International Transactions in Operational Research  
Over the years, attention has gradually expanded from resource allocation and strategic planning to include operational issues such as resource scheduling and treatment planning.  ...  Review of location and allocation models restricted to developing countries can be found in Rahman and Smith (2000) .  ...  Dynamic generation of patient schedules, having varying priorities, to public health-care facilities are modelled by Patrick et al. (2008) as a Markov decision process.  ... 
doi:10.1111/j.1475-3995.2010.00767.x fatcat:ui5eyoi7xretpdf2eeiyksnmri

Discrete-Event Simulation of Health Care Systems [chapter]

Sheldon H. Jacobson, Shane N. Hall, James R. Swisher
2006 International Series in Operations Research and Management Science  
Discrete-event simulation has become a popular and effective decision-making tool for the optimal allocation of scarce health care resources to improve patient flow, while minimizing health care delivery  ...  This chapter provides an overview of discrete-event simulation modeling applications to health care clinics and integrated health care systems (e.g. hospitals, outpatient clinics, emergency departments  ...  Hall for his comments and feedback on an earlier draft of this chapter, resulting in a significantly improved final version.  ... 
doi:10.1007/978-0-387-33636-7_8 fatcat:3t6rixottfg67bav2ewjrl44fe

Trade-offs in operating room planning for electives and emergencies: A review

Carla Van Riet, Erik Demeulemeester
2015 Operations Research for Health Care  
The planning of the operating rooms (ORs) is a difficult process due to the different stakeholders involved. The real complexity, however, results from various sources of variability.  ...  As a result, a need for policies guiding the OR manager in handling the trade-offs arises.  ...  More specifically, Markov models (both Markov chains and Markov decision problems (MDP)) can be used to model or optimize healthcare problems.  ... 
doi:10.1016/j.orhc.2015.05.005 fatcat:qswvhpowdrbsfo3a7zywsqt7k4

Patient length of stay and mortality prediction: A survey

Aya Awad, Mohamed Bader–El–Den, James McNicholas
2017 Health Services Management Research  
LOS is also a parameter, which has been used to identify severity of illness and healthcare resource utilisation.  ...  Moreover, the paper provides a classification and evaluation for the analytical methods to length of stay and mortality prediction associated with a grouping of relevant research papers published in the  ...  In addition, a relative value, namely Case Mix Index (CMI) can be assigned to a DRG of patients in a medical care environment used in determining the allocation of resources to care for and/or treat the  ... 
doi:10.1177/0951484817696212 pmid:28539083 fatcat:iplxgixvkvgvloqxpf6w7jel2u

Vehicle Routing Optimisation in Humanitarian Operations: A Survey on Modelling and Optimisation Approaches

Wadi Khalid Anuar, Lai Soon Lee, Stefan Pickl, Hsin-Vonn Seow
2021 Applied Sciences  
Besides specific disaster management phases and disaster types, various modelling challenges are highlighted, hinting towards a richer and more complex VRP seen under selected model characteristic classifications  ...  A total of 123 papers of the last decade are reviewed and classified under the humanitarian operations of supply and delivery, evacuation as well as rescue operations.  ...  Conflicts of Interest: The authors declare no conflict of interest. Abbreviations The following abbreviations are used in this manuscript:  ... 
doi:10.3390/app11020667 fatcat:vo7i2wwz7vevvohbzqyn7v72ke

A Review of Incident Prediction, Resource Allocation, and Dispatch Models for Emergency Management [article]

Ayan Mukhopadhyay and Geoffrey Pettet and Sayyed Vazirizade and Di Lu and Said El Said and Alex Jaimes and Hiba Baroud and Yevgeniy Vorobeychik and Mykel Kochenderfer and Abhishek Dubey
2021 arXiv   pre-print
This survey provides a detailed review of these approaches, focusing on the key challenges and issues regarding four sub-processes: (a) incident prediction, (b) incident detection, (c) resource allocation  ...  We highlight the strengths and weaknesses of prior work in this domain and explore the similarities and differences between different modeling paradigms.  ...  Transportation (TDOT) for invaluable feedback and domain expertise that made us understand the subtleties and intricate challenges of emergency response.  ... 
arXiv:2006.04200v7 fatcat:snii6qn5pjckxjda2ewj36pmhe

Priority Assignment in Emergency Response

Evin Uzun Jacobson, Nilay Tanık Argon, Serhan Ziya
2012 Operations Research  
However, recent work from the emergency medicine literature suggests that when determining priorities, resource limitations and the scale of the event should also be taken into account in order to do the  ...  We formulate the problem as a priority assignment problem in a clearing system with multiple classes of impatient jobs.  ...  In particular, we formulate the problem as a semi-Markov decision process, where the state at each decision epoch is defined by (q 1 , q 2 ; t) and t ≥ 0 denotes the time.  ... 
doi:10.1287/opre.1120.1075 fatcat:2lhhcthv2fb6pbyleiixgiivga

Providing healthcare services on-the-fly using multi-player cooperation game theory in Internet of Vehicles (IoV) environment

Neeraj Kumar, Kuljeet Kaur, Anish Jindal, Joel J.P.C. Rodrigues
2015 Digital Communications and Networks  
A stochastic reward net (SRN)-based model is used to represent the coalition formation and splitting with respect to availability of resources at cloud level.  ...  Internet of Vehicles (IoV) is a leading technology of the present era.  ...  074-U01, and by National Funding from the FCT -Fundação para a Ciência e a Tecnologia through the UID/EEA/500008/2013 Project.  ... 
doi:10.1016/j.dcan.2015.05.001 fatcat:2ukwv2amxzbknkfgvprm2q74ta

Half Space [chapter]

2013 Encyclopedia of Operations Research and Management Science  
Employing concepts from both economics and OR/MS, the book's contributing authors reviewed thinking on resource allocation, decision processes and priorities, incentive structures, fiscal environments,  ...  Additional Hypercube Model Applications Emergency medical services. In Brazil, the hypercube model has been applied and developed further in a number of areas.  ...  As part of redesign effort, the adaptation of Electronic Medical Records (EMR) will alleviate some of the major hospital process and quality issues.  ... 
doi:10.1007/978-1-4419-1153-7_200280 fatcat:tsbchwl7wbcetpw7lcyj2g2phu

Distributed Reinforcement Learning in Emergency Response Simulation

Cesar Lopez, Jose R. Marti, Sarbjit Sarkaria
2018 IEEE Access  
We ran 96 parallel instances of the extended model and the process completed in 2.87 minutes. The results show a fast and stable convergence framework with a wide range of applicability.  ...  In this thesis we present the implementation of a coordinated decision-making agent for emergency response scenarios. The agent's implementation uses Reinforcement Learning (RL).  ...  With i2Sim, the optimization process for resource allocation takes into account the cascading effects of every decision made.  ... 
doi:10.1109/access.2018.2878894 fatcat:rmqq4xv5fba5vlrjze7jvglov4

Joint location and dispatching decisions for Emergency Medical Services

Hector Toro-Díaz, Maria E. Mayorga, Sunarin Chanta, Laura A. McLay
2013 Computers & industrial engineering  
Emergency Medical Service (EMS) systems are a service that provides acute care and transportation to a place for definitive care, to people experiencing a medical emergency.  ...  The ability of EMS systems to do this effectively is impacted by several resource allocation decisions including location of servers (ambulances), districting of demand zones and dispatching rules for  ...  Their suggestions helped to improve the readability and understanding of my  ... 
doi:10.1016/j.cie.2013.01.002 fatcat:47qfq4d42vafdexs4asuyudk3y
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