Comparative review of big data analytics and GIS in healthcare decision-making
1 Independent Researcher, Maryland, USA.
2 IHS Towers Nigeria, Plc., Lagos.
3 Nigeria Deposit Insurance Corporation, Nigeria.
4 Independent Researcher Lagos.
5 Independent Researcher, San Francisco, CA 94103, USA.
6 Institute of Human Virology, Nigeria.
Review Article
World Journal of Advanced Research and Reviews, 2023, 20(03), 1293–1302
Article DOI: 10.30574/wjarr.2023.20.3.2589
Publication history:
Received on 08 November 2023; revised on 16 December 2023; accepted on 19 December 2023
Abstract:
This research explores the confluence of big data analytics and Geographic information systems (GIS) in healthcare decision-making. The comparative review delineates the unique strengths of each technology, showcasing potential synergies. Big data analytics harnesses advanced analytics for predictive modeling and clinical decision support, while GIS introduces a spatial context for health data analysis. Future trends suggest integrations with artificial intelligence, real-time analytics, and wearable technology. However, challenges encompass data privacy, biases, and interdisciplinary collaboration. Ethical considerations emphasize transparency, informed consent, and the responsible use of patient data. As these technologies evolve, their seamless integration holds the promise of precision health, community-oriented interventions, and proactive pandemic response, reshaping the landscape of healthcare decision-making.
Keywords:
Big data analytics; GIS; Healthcare Decision-Making; Integration; Ethical Considerations; Precision Health
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Copyright information:
Copyright © 2023 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0