Design of an AI-driven home-based pulmonary telerehabilitation system to enhance patient engagement

This pilot study demonstrates that IPRES is feasible and well-received, highlighting usability strengths and engagement factors that can inform future optimization and randomized controlled trials. While medium- and long-term effectiveness requires further evaluation, these findings support the potential of IPRES as a scalable, patient-centered tool for home-based pulmonary rehabilitation.

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Publication Details

Journal
Digital Health
Published
2025-05-01
DOI
https://doi.org/10.1177/20552076251393295
Primary Topic
Respiratory Support and Mechanisms
Type
article
Field-Weighted Citation Impact
0.00
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article

Design of an AI-driven home-based pulmonary telerehabilitation system to enhance patient engagement

Shih-Ying Chien, Han‐Chung Hu, Winston Tseng
Digital Health
Respiratory Support and Mechanisms
article

Design of an AI-driven home-based pulmonary telerehabilitation system to enhance patient engagement

Shih-Ying Chien, Han‐Chung Hu, Winston Tseng
article en

Abstract

This pilot study demonstrates that IPRES is feasible and well-received, highlighting usability strengths and engagement factors that can inform future optimization and randomized controlled trials. While medium- and long-term effectiveness requires further evaluation, these findings support the potential of IPRES as a scalable, patient-centered tool for home-based pulmonary rehabilitation.

Digital HealthVol. 11
National Yang Ming Chiao Tung University (TW), Chang Gung University (TW), Chang Gung Memorial Hospital (TW), Taoyuan Chang Gung Memorial Hospital (TW), Linkou Chang Gung Memorial Hospital (TW), Berkeley Public Health Division (US), University of California, Berkeley (US)
Openalex Percentile: Top 50%
Respiratory Support and Mechanisms
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