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Related Experiment Video

Updated: Jul 10, 2026

Measuring Frailty in HIV-infected Individuals. Identification of Frail Patients is the First Step to Amelioration and Reversal of Frailty

Measuring Frailty in HIV-infected Individuals. Identification of Frail Patients is the First Step to Amelioration and Reversal of Frailty

Published on: July 24, 2013

Wearable-Derived Data for Patient Frailty: Extending Hospital Frailty Risk Score While Confronting Bias and

Milit S Patel^1,2, Patrick Emedom-Nnamdi³, Kaitlyn Lapen⁴

¹Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, USA. militpatel@utexas.edu.

Journal of General Internal Medicine

|July 8, 2026

Summary

Wearable devices offer continuous health data to improve frailty assessments. Integrating this with the Hospital Frailty Risk Score (HFRS) can enhance early detection and interventions, but requires addressing AI biases for equitable care.

Area of Science:

Gerontology and Digital Health
Artificial Intelligence in Healthcare
Health Equity Research

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Measuring Frailty in HIV-infected Individuals. Identification of Frail Patients is the First Step to Amelioration and Reversal of Frailty

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Background:

Traditional frailty assessments are episodic and may miss early functional decline.
Wearable devices provide continuous, real-world data on mobility, activity, and physiology.
Integrating wearable data with risk scores like the Hospital Frailty Risk Score (HFRS) can improve detection and intervention.