Feasibility study on an evidence-based decision-support system for hospital site selection for an aging population

Jung In Kim, Devini Manouri Senaratna, Jacobo Ruza, Calvin Kam, Sandy Ng*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

22 Citations (Scopus)
48 Downloads (CityUHK Scholars)

Abstract

An aging population has significant, dynamic and complex healthcare needs. Meeting such needs in a sustainable manner requires the capability to prioritize and project multiple relevant criteria (e.g., dynamic population health, treatment preferences, resources, technological changes and location of facilities). Most current decision-making processes for urban hospital site selection rely on a combination of experience and statistical data, yet they lack robustness and trending capabilities. This leads to tremendous efficiency implications, as it is not uncommon for hospitals to have a lifespan of more than 100 years after they are built. Our research team has developed an evidence-based decision-support system, enhanced with a Geographic Information System (GIS), that has the potential to overcome these limitations. This paper presents a feasibility demonstration of our framework through a retrospective case study of hospital site selection in Dallas, Texas, demonstrating its positive value in providing a foundation for informed healthcare resource allocation in the context of an aging population.
Original languageEnglish
Pages (from-to)2730-2744
JournalSustainability (Switzerland)
Volume7
Issue number3
Online published6 Mar 2015
DOIs
Publication statusPublished - Mar 2015
Externally publishedYes

Research Keywords

  • Aging population
  • Decision framework
  • Geographic Information System (GIS)
  • Healthcare sustainability
  • Hospital site selection
  • Senior health

Publisher's Copyright Statement

  • This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

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