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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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Published on: December 9, 2012

Health systems engineering as an improvement strategy: a case example using location-allocation modeling.

Bradley V Watts1, Brian Shiner, Mehmet E Ceyhan

  • 1Dartmouth Medical School, USA. bradley.watts@va.gov

Journal for Healthcare Quality : Official Publication of the National Association for Healthcare Quality
|December 24, 2011
PubMed
Summary
This summary is machine-generated.

This study demonstrates how industrial engineering location-allocation methods can optimize the placement of medical services. These techniques helped a healthcare network strategically locate new sleep medicine services for better network coverage.

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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

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Published on: December 9, 2012

Area of Science:

  • Healthcare Management
  • Operations Research
  • Medical Geography

Background:

  • Identifying optimal geographic locations for medical services presents a significant challenge for healthcare providers.
  • Existing methodologies for determining ideal medical service locations are not widely utilized or described in literature.

Purpose of the Study:

  • To present a case study detailing the application of location-allocation techniques in healthcare.
  • To illustrate how industrial engineering methods can inform strategic planning for medical service distribution.

Main Methods:

  • Utilized location-allocation models, a technique common in industrial engineering and operations research.
  • Applied these models to a real-world scenario within a regional healthcare network.

Main Results:

  • Successfully developed a strategic plan for the optimal geographic placement of sleep medicine services.
  • Demonstrated the practical utility of location-allocation techniques in healthcare network planning.

Conclusions:

  • Location-allocation techniques offer a valuable, systematic approach to optimizing medical service locations.
  • This methodology can enhance healthcare network efficiency and patient access to specialized services like sleep medicine.