Personal Health Index (PHI): An AI-Based Approach to Athlete Wellness Monitoring - ACHSM Asia-Pacific Health Leadership Congress in Darwin, 2025

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Published: Dec 19, 2025
DOI: https://doi.org/10.24083/apjhm.v20i3.5341
Keywords:
Personal Health Index, Artificial Intelligence, Wearable Devices, Athlete Monitoring, Remote Patient Monitoring, VO₂ Max, Sleep Efficiency

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Shyam Paryani
University of North Florida, Jacksonville, Florida, USA
Mei Zhao
University of North Florida, Jacksonville, Florida, USA
Rob Haley
University of North Florida, Jacksonville, Florida, USA
Evan Kilby
University of North Florida, Jacksonville, Florida, USA
Kendall Chassman
University of North Florida, Jacksonville, Florida, USA

Abstract

The integration of wearable technology and artificial intelligence (AI) has opened new possibilities for personalized health monitoring. This article introduces the Personal Health Index (PHI), a proprietary metric developed to assess individual wellness using data collected from wearable devices. Implemented our institution. The PHI system has been in use since 2022 to monitor athletes across multiple sports. By leveraging AI to analyze physiological data, PHI provides actionable insights that support training, recovery, and overall health optimization.

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How to Cite
Paryani, S. ., Zhao, M., Haley, R. ., Kilby, E., & Chassman, K. (2025). Personal Health Index (PHI): An AI-Based Approach to Athlete Wellness Monitoring: - ACHSM Asia-Pacific Health Leadership Congress in Darwin, 2025. Asia Pacific Journal of Health Management, 20(3). https://doi.org/10.24083/apjhm.v20i3.5341
Issue
Vol. 20 No. 3 (2025)
Section
Conference Articles
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