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Healthcare
Special Issues
The Implementation of GIS and Big Data Analytics in Healthcare
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The Implementation of GIS and Big Data Analytics in Healthcare

A special issue of Healthcare (ISSN 2227-9032). This special issue belongs to the section "Health Informatics and Big Data".

Deadline for manuscript submissions: 30 September 2024 | Viewed by 1320

Special Issue Editor

Dr. Dohyeong Kim

E-Mail Website
Guest Editor
School of Economic, Political and Policy Sciences, University of Texas at Dallas, 800 W Campbell Rd., Richardson, TX 75080, USA
Interests: global health; geospatial health; environmental health and safety; GIS; big data analytics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue will comprise papers addressing a variety of public health and safety concerns, both in the US and internationally, using state-of-the-art GIS and data science methodology. A special emphasis is given to innovative methodological and technological contributions estimating various health outcomes from environmental risk factors, measuring the relationships between medicine, science, natural and man-made environments, geography, culture, socioeconomic factors, policies and health, and developing strategies for identifying hotspots and allocating limited resources to effectively address outstanding global health, safety and sustainability issues. Papers selected for this issue may also discuss how national and regional public health authorities around the world have coped with uncertainty during the recent COVID-19 epidemic.

Dr. Dohyeong Kim
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Healthcare is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • GIS
  • big data analytics
  • global health
  • environmental risk and sustainability
  • emergency management and safety
  • methodological and technological innovations
  • COVID-19

Published Papers (1 paper)

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Research

18 pages, 12575 KiB  
Article
Analysis of Pharmaceutical Demand in the Region for Chronic Medicine Users Using National Health Insurance Data: Examination for Disaster Preparedness in Hakui City, Ishikawa Prefecture
by Yuta Moriwaki, Yuma Morisaki, Shigehiro Karashima and Makoto Fujiu
Healthcare 2023, 11(23), 3029; https://doi.org/10.3390/healthcare11233029 - 23 Nov 2023
Viewed by 985
Abstract
When large earthquakes occur over wide areas, in addition to damage to medical facilities, the disaster response capabilities of local governments are severely compromised. There is a very high possibility that the supply–demand balance of medicines will collapse within the disaster area, and [...] Read more.
When large earthquakes occur over wide areas, in addition to damage to medical facilities, the disaster response capabilities of local governments are severely compromised. There is a very high possibility that the supply–demand balance of medicines will collapse within the disaster area, and that appropriate supplies of medicines will not be provided to disaster victims. Therefore, it is important to estimate in advance the quantity of pharmaceuticals that may be needed during disasters. In this study, the purpose is to clarify the quantity and quality of pharmaceuticals used by chronically ill patients by using Japanese National Health Insurance data regarding the issues mentioned above. The methodology used was to extract the status of pharmaceutical prescriptions based on receipt information from National Health Insurance data for Hakui, Ishikawa Prefecture, a small regional city in Japan, as the analysis target area. Through the analysis in this study, the quantity and quality of medicines supplied to chronically ill patients in Hakui, Ishikawa Prefecture, were clarified on a town-by-town basis. Full article
(This article belongs to the Special Issue The Implementation of GIS and Big Data Analytics in Healthcare)
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