Decision support system for the location of healthcare facilities : SitHealth evaluation tool / Marta Dell'Ovo, Alessandra Oppio, Stefano Capolongo.

The book examines an integrated approach for addressing decisions about the location of healthcare facilities. Supported by Geographic Information Systems (GIS) and Multi-Criteria Decision Analysis (MCDA), the approach provides comprehensive information on territory, taking into account the spatial...

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Bibliographic Details
Main Author: Dell'Ovo, Marta
Other Authors: Oppio, Alessandra, Capolongo, Stefano
Format: eBook
Language:English
Published: Cham, Switzerland : Springer, 2020.
Series:SpringerBriefs in applied sciences and technology. PoliMI SpringerBriefs.
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Online Access:Click for online access
Description
Summary:The book examines an integrated approach for addressing decisions about the location of healthcare facilities. Supported by Geographic Information Systems (GIS) and Multi-Criteria Decision Analysis (MCDA), the approach provides comprehensive information on territory, taking into account the spatial dimensions. Due to the multiple criteria involved, site selection for urban facilities is a crucial topic in planning decision processes, especially for healthcare facilities. Healthcare provision policies generally fail to address the distribution of facilities within cities, entrusting decisions to various stakeholders. Moreover current evaluation tools focus on the intrinsic performances of healthcare structures, disregarding the extrinsic characteristics, namely those related to the location. Starting with a cross-disciplinary literature review, the book describes a multi-methodological approach for decision-making regarding the location of healthcare facilities, and presents an innovative evaluation tool that simultaneously considers functional, locational, environmental and economic issues, providing a comprehensive overview of the areas under investigation.
Physical Description:1 online resource
Bibliography:Includes bibliographical references.
ISBN:9783030501730
3030501736
ISSN:2282-2577