Location of health care facilities: An analytical approach

Calvo, Alberto B.; Marks, David H.

doi:10.1016/0038-0121(73)90039-6

Cited by 96 publications

(45 citation statements)

References 5 publications

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“…Some early proposal of facility location problem in the context of network and communication is due to McGregor et al [2]. Some early proposal of facility location was made by Calvo et al [3]. The model was mainly concentrated on integer programming models.…”

Section: Literature Reviewmentioning

confidence: 99%

A Computational Geometry Based Facility Location Model for Healthcare Management System

Roy¹

2017

IJRASET

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I. INTRODUCTIONThe usage of Computer for the sake of mankind is the main objective of computer science and applications since its inception. The applications of computer ranges from scientific computation to data science, from rocket science to bioinformatics. There is another area where the computers have been used for the past few decades. This is Geographical Information Systems or GIS. GIS is an interdisciplinary branch of study where Geography and Information technology merges for giving better services to the mankind. The present work is the proposal of a GIS system for healthcare management systems. The proposed model is a generic model which suggests the best possible locations for setting up the different medical facilities to minimize the allocation cost as well as to maximize the utilization. In that sense it is an optimization model also. The proposal of the model comes from an economical model, namely called Pull-Push model. The pool-push model works as follows. In a society, where there are peoples with average and less than average literacy, the people do not know which one is good for their health. For example, consider the usage of mosquito net, or spraying of DDT around their house. Poor people generally do not spent money for these. This is because that the effect of mosquito net and DDTspraying is not directly visible to them. The disease like Dengue spreads through mosquito but not that every single mosquito bite spreads it and in a village of thousand people with almost the same setup, a few gets attacked by Dengue. Rest all somehow bypasses it. So, rural people do not care much for it. The observation is, rural people do not spend much money for prevention purposes [1]. On the other hand, whenever a disease occurs, people becomes active and in such cases they travel a long distance to a good hospital for better services. Sometimes they even move to private healthcare service sectors and spend a lot of money. The curtail observation is that the rural poor people spends more money in cure and recovery process because that has a clear and visible outcome.The role of government always remain crucial in such situations. They uses a model called push and pull model. Whenever there is a policy of prevention, the governments generally supply it forcefully. Either free of cost or in a subsidized form. i.e. they send their workers todifferent villages or different slums and distributes them to the people. This is called push model. For curing process, government uses a pull model. Government sets up different healthcare centres of different levels and people goes there for availing the facilities. This is because it is uneconomical for governments to set up hospitals at every locality. So, government carefully selects some locations and sets up facility centres. In this way government gives the facilities by push/pull model. A good discussion of such model can be found in the work of Banerjee and Duflo [1].In our present work, we have suggested a three tier model of facility location in the context ...

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Section: Literature Reviewmentioning

confidence: 99%

A Computational Geometry Based Facility Location Model for Healthcare Management System

Roy¹

2017

IJRASET

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“…This level of service can for example be measured by the maximum time it takes for a patient to travel to the closest ED, or the maximum response time that an ambulance requires to reach a specified region. The main trade-off in the decision where to locate emergency care centers and ambulances is between the level of service for emergency patients and costs [39,45,79,237,276]. Below, we will elaborate on this trade-off for both emergency care centers and ambulances.…”

Section: Strategic Planningmentioning

confidence: 99%

“…The decision where to locate ambulances is determined such that a specified region can be reached within a target response time by one or more ambulances, or that the average or maximum response time to a potential emergency is minimized [45,79,158,165,276]. The response time of an ambulance concerns the time elapsed from notification of an emergency until an ambulance arrives at the emergency location [180].…”

Section: Strategic Planningmentioning

confidence: 99%

“…Other factors to take into account in planning the locations of ambulances are the likelihood of timing and location of an emergency, staff availability, location constraints (e.g., a place where staff can rest), and the emergency care center where patients are potentially transported to [36,62,79,158,180,205,267,276,399,412,526]. Methods: computer simulation [62,165,180,186,204,237,267,412,429,459,526], heuristics [22,36,38,164,197,266], Markov processes [21,257], mathematical programming [18,36,38,39,40,45,79,118,158,165,186,205,207,237,257,276,412,…”

Section: Strategic Planningmentioning

confidence: 99%

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Integrated decision making in healthcare : an operations research and management science perspective

Hulshof¹

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“…Later efforts considered the case of several server types (Marianov and ReVelle, 1992;Schilling et al, 1979) and multiple coverage of demand for service (Gendreau et al, Incident Occurrence and Response on Urban Freeways 131 Hogan and ReVelle, 1986). On the other hand, the p-median problem, originally proposed by Hakimi (1964) was used by Calvo andMarks (1973), Carson andBatta (1990) and Paluzzi (2004) for planning emergency response services.…”

Section: Emergency Response and Location Analysismentioning

confidence: 99%

Incident occurrence and response on urban freeways

Christoforou¹

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Location of health care facilities: An analytical approach

Cited by 96 publications

References 5 publications

A Computational Geometry Based Facility Location Model for Healthcare Management System

A Computational Geometry Based Facility Location Model for Healthcare Management System

Integrated decision making in healthcare : an operations research and management science perspective

Incident occurrence and response on urban freeways

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