Forthcoming and Online First Articles

International Journal of Environment and Health

International Journal of Environment and Health (IJEnvH)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

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International Journal of Environment and Health (One paper in press)

Regular Issues

  • Integrating electronic health records, remote patient monitoring, and digital health: a convergence study   Order a copy of this article
    by Vishnoi Shweta, Raj Goel 
    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 emphasizes 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.2025.10069786
     

 

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