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Integrating Public Health Data and Hospital Records: A Model for Community-Based Health Impact Assessments

Author

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  • Damilola Oluyemi Merotiwon
  • Opeyemi Olamide Akintimehin
  • Opeoluwa Oluwanifemi Akomolafe

Abstract

Effective community-based health impact assessments (HIAs) require a robust integration of public health data with hospital records to provide actionable insights into population health trends and healthcare resource utilization. As the demand for data-driven public health decision-making increases, so does the need for interoperable models that facilitate seamless data exchange across institutional boundaries. This paper proposes a comprehensive model that bridges public health surveillance systems with hospital electronic health records (EHRs), leveraging data integration tools, predictive analytics, and geospatial mapping to inform community-level health planning. The model was evaluated using a multi-case study approach in three regional health districts, with data sources including immunization records, emergency department visits, and chronic disease registries. Results demonstrate enhanced capacity for identifying high-risk populations, predicting outbreak patterns, and optimizing resource deployment. The findings support the strategic utility of cross-sectoral data integration for advancing equitable and responsive healthcare delivery systems.

Suggested Citation

  • Damilola Oluyemi Merotiwon & Opeyemi Olamide Akintimehin & Opeoluwa Oluwanifemi Akomolafe, 2024. "Integrating Public Health Data and Hospital Records: A Model for Community-Based Health Impact Assessments," International Journal of Scientific Research in Civil Engineering, International Journal of Scientific Research in Civil Engineering, vol. 8(5), pages 139-153, October.
    • Handle: RePEc:jcq:ijsrce:v8:y2024:i5:id:660
    DOI: 10.32628/IJSRCE248512
    Note: Article URL: https://ijsrce.com/home/article/view/IJSRCE248512
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