Title: Integrating electronic health records, remote patient monitoring, and digital health: a convergence study

Authors: Shweta Vishnoi; Raj Kumar Goel

Addresses: Department of Physics, Noida Institute of Engineering and Technology, Greater Noida, 201306, Affiliated to Dr. A.P.J Abdul Kalam Technical University, Lucknow, U.P., India ' Department of Computer Application, North-Eastern Hill University, Tura Campus, 794002, Meghalaya, India

Abstract: Geospatial data, combined with big data analytics, plays a crucial role in developing predictive models and early warning systems for infection monitoring and control. GIS enable the analysis of health data by incorporating temporal dimensions over time. This spatiotemporal perspective aids in identifying emerging trends, tracking disease progression, and supporting decision-making and planning processes. Keeping in mind the emerging socio-technical aspects and the healthcare needs of the population, the proposed ICT-assisted healthcare paradigm emphasises sustainable, integrated services to promote health and well-being. The adoption of healthcare technology is projected to grow significantly between 2025 and 2029, aiming to ensure healthy lives and enhance well-being for people of all ages, in alignment with SDG 3 by 2030. These advancements are expected to have a profound impact on employment across the healthcare sector. EHRs function as valuable repositories of longitudinal, population-based big data, facilitating the integration of spatial data and geographic variables.

Keywords: geospatial big data; GeoAI; digital health; longitudinal sensor data; SDG 3.

DOI: 10.1504/IJENVH.2025.154780

International Journal of Environment and Health, 2025 Vol.11 No.3, pp.175 - 191

Received: 02 Apr 2024
Accepted: 24 Jan 2025
Published online: 14 Jul 2026 *

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