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An Optimization Mod...
An Optimization Model for the Tradeoff Between Efficiency and Equity for Mobile Stroke Unit Placement
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- Mahdiraji, Saeid Amouzad (author)
- Malmö University,Malmö universitet,Institutionen för datavetenskap och medieteknik (DVMT)
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- Holmgren, Johan (author)
- Malmö University,Malmö universitet,Institutionen för datavetenskap och medieteknik (DVMT)
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- Mihailescu, Radu-Casian (author)
- Malmö University,Malmö universitet,Institutionen för datavetenskap och medieteknik (DVMT)
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- Petersson, Jesper (author)
- Lund University,Lunds universitet,Neurologi, Lund,Sektion IV,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Stroke policy och kvalitetsregisterforskning,Forskargrupper vid Lunds universitet,Neurology, Lund,Section IV,Department of Clinical Sciences, Lund,Faculty of Medicine,Stroke policy and quality register research,Lund University Research Groups,Region Skåne
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Chen, Yen-Wei (editor)
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Tanaka, Satoshi (editor)
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Howlett, Robert J. (editor)
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Jain, Lakhmi C. (editor)
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(creator_code:org_t)
- 2021-06-06
- 2021
- English.
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In: Innovation in Medicine and Healthcare. - Singapore : Springer. - 2190-3026 .- 2190-3018. - 9789811630125 - 9789811630132 ; , s. 183-193
- Related links:
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http://dx.doi.org/10...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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https://lup.lub.lu.s...
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Abstract
Subject headings
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- A mobile stroke unit (MSU) is an ambulance, where stroke patients can be diagnosed and treated. Recently, placement of MSUs has been studied focusing on either maximum population coverage or equal service for all patients, termed efficiency and equity, respectively. In this study, we propose an unconstrained optimization model for the placement of MSUs, designed to introduce a tradeoff between efficiency and equity. The tradeoff is based on the concepts of weighted average time to treatment and the time difference between the expected time to treatment for different geographical areas. We conduct a case-study for Sweden’s Southern Health care Region (SHR), generating three scenarios (MSU1, MSU2, and MSU3) including 1, 2, and 3 MSUs, respectively. We show that our proposed optimization model can tune the tradeoff between the efficiency and equity perspectives for the MSU(s) allocation. This enables a high level of equal service for most inhabitants, as well as reducing the time to treatment for most inhabitants of a geographic region. In particular, placing three MSUs in the SHR with the proposed tradeoff, the share of inhabitants who are expected to receive treatment within an hour potentially improved by about a factor of 14 in our model.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Kommunikationssystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Communication Systems (hsv//eng)
Keyword
- Driving time estimation
- Efficient coverage
- Equal treatment
- Mobile stroke unit
- Time to treatment
- Tradeoff function
- Efficiency
- Optimization
- Equal services
- Expected time
- Geographical area
- Optimization modeling
- Stroke patients
- Time-differences
- Unconstrained optimization
- Weighted averages
- Patient treatment
- Driving time estimation
- Efficient coverage
- Equal treatment
- Mobile stroke unit
- Time to treatment
- Tradeoff function
Publication and Content Type
- ref (subject category)
- kon (subject category)
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