The Impact of Health Data Analytics on Decision-Making and Service Efficiency in Modern Healthcare Systems

Authors

  • Dr. Ayesha Malik Department of Health Informatics, University of Lahore, Pakistan Author
  • Prof. Imran Khan Institute of Public Health, University of Punjab, Lahore, Pakistan Author
  • Dr. Sarah Ahmed Department of Health Systems Management, Aga Khan University, Karachi, Pakistan Author

DOI:

https://doi.org/10.71465/bhsr49

Keywords:

health data analytics, decision-making, service efficiency, healthcare systems, Predictive Analytics, clinical decision support, electronic health records, operational performance

Abstract

Health data analytics has emerged as a transformative force in modern healthcare systems, influencing decision-making processes and enhancing service efficiency. This paper explores the integration of health data analytics into clinical and administrative workflows, focusing on its impact on patient outcomes, operational efficiency, and resource management. Through a comprehensive review of existing literature and case studies, the study highlights the benefits and challenges associated with the adoption of data-driven approaches in healthcare settings. The findings underscore the importance of strategic implementation and continuous evaluation to fully realize the potential of health data analytics in improving healthcare delivery.

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Published

2024-12-19

Issue

Vol. 5 No. 02 (2024): Bulletin of Health Services Research

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

All articles published in the Bulletin of Health Services Research are open access and distributed under the terms of the Creative Commons Attribution License. This permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Authors retain copyright, and the journal ensures free and permanent access to published content.