Abstract
Healthcare site selection assumes an imperative part in healthcare development and management. From part of the public authority, proper medical site selection will help the distribution of clinical assets, coordinating with the arrangement of medical care with the social and economic demands, organizing the metropolitan and rural healthcare administration advancement, and facilitating social logical inconsistencies. Site suitability analysis is a variety of analysis utilized in GIS to work out the simplest place or site for one thing. The main objective of the current study was to select a site for new healthcare services with geospatial technologies to intermix spatial and non-spatial data to create a weighted result. The current study had been done into three phases, where many processes are intermixed into a single phase. In the first phase of analysis, distance, density, and proximity were mapped to seek out poor and lower accessible areas of healthcare from existing healthcare. To selecting new healthcare sites, four-factor criteria (Buffer around road and rail, land use land cover and buffer around settlement,) and some constrain criteria considered in the second phase of analysis. Finally, the shortest network path analysis has been done in the third phase to determine the shortest and best route from selected healthcare sites towards district medical college. The current study presents some suitable sites in the poor and inaccessible areas of the district. This study will be very helpful for the decision support system of healthcare management in the future.
Highlights
Healthcare site selection is identified with different parts of the public
They presumed that GIS-based Multi-Criteria Analysis (MCA) with need and affectability tests proposes a novel and helpful reference to other site selection leaders, and gives productive devices to the policy implementation to set up effective data sets for chiefs to do spatial investigations
This study offered a MCDA decision-making approach for proposing suitable sites with respect to quality healthcare services
Summary
Healthcare site selection is identified with different parts of the public. Blended perspectives and discussions on which measures are most significant would confound even healthcare services specialists. With Analytical Hierarchy Process (AHP) and Rank Order Method (ROM) for the weight setting on factor rules, need tests and affectability tests are applied to check which standards are truly vital and how the outcomes are touchy to their weight change They presumed that GIS-based MCA with need and affectability tests proposes a novel and helpful reference to other site selection leaders, and gives productive devices to the policy implementation to set up effective data sets for chiefs to do spatial investigations. The investigation was in this manner, suggested as a spatial choice emotionally supportive network for metropolitan approach creators with respect to availability of medical care offices in the metropolitan and rustic territory
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