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International Journal of Research and Innovation in Social Science (IJRISS)

The Power of Data Analytics on the Social Health Authority (SHA) for Sustainable Universal Health Coverage (UHC) in Kenya

byDr Reuben Cheruiyot Lang’at

Published November 22, 2025  •  Vol. 9, Issue 10, pp. 9072–9075Open Access
DOI: 10.47772/IJRISS.2025.910000738

Abstract

Universal Health Coverage (UHC) remains a key goal in Kenya's national health agenda. With the introduction of the Social Health Authority (SHA) under the Social Health Insurance Act, 2023, there is an urgent need to develop evidence-driven strategies to ensure sustainability and equity in health service delivery. This paper explores how data analytics can be effectively leveraged by SHA to optimize provider management, beneficiary targeting, claims processing, and policy formulation. It proposes a framework for integrating advanced analytics into SHA operations to enhance transparency, efficiency, and long-term sustainability of UHC.

Keywords: Data analytics, Evidence driven strategies, Universal Health Coverage

JournalInternational Journal of Research and Innovation in Social Science (IJRISS)
ISSN2454-6186
Volume / IssueVolume 9, Issue 10
Pages9072–9075
Publication dateNovember 22, 2025
DOI10.47772/IJRISS.2025.910000738
PublisherRSIS International
LicenseOpen Access

How to cite this article

Dr Reuben Cheruiyot Lang’at (2025). The Power of Data Analytics on the Social Health Authority (SHA) for Sustainable Universal Health Coverage (UHC) in Kenya. International Journal of Research and Innovation in Social Science (IJRISS), 9(10), 9072-9075. https://doi.org/10.47772/IJRISS.2025.910000738

BibTeX

@article{Dr2025,
  title   = {The Power of Data Analytics on the Social Health Authority (SHA) for Sustainable Universal Health Coverage (UHC) in Kenya},
  author  = {Dr Reuben Cheruiyot Lang’at},
  journal = {International Journal of Research and Innovation in Social Science (IJRISS)},
  volume  = {9},
  number  = {10},
  pages   = {9072--9075},
  year    = {2025},
  doi     = {10.47772/IJRISS.2025.910000738},
  publisher = {RSIS International}
}