Harnessing an Artificial Intelligence–Based Large Language Model With Personal Health Record Capability for Personalized Information Support in Postsurgery Myocardial Infarction: Descriptive Qualitative Study
iflyhealth, an LLM AI app with a built-in personal health record functionality, shows significant potential in assisting post-MI patients. The main benefits reported by iflyhealth users include improved access to personalized health information and an enhanced ability to respond to changing health conditions. However, challenges such as digital literacy, usability, and privacy and security concerns persist. Overcoming the barriers may further enhance the use of the iflyhealth app, which can play an important role in patient-centered, personalized post-MI management.
Authors
- Qingyong Chen (ORCID: https://orcid.org/0000-0003-0774-5139)
- Haoran Zheng (ORCID: https://orcid.org/0000-0002-4221-3085)
- Sha Cao (ORCID: https://orcid.org/0000-0002-8645-848X)
- M. Q. Jing
- Yan Zuo (ORCID: https://orcid.org/0000-0003-1397-013X)
- Hu Ju
- Tingting Yang (ORCID: https://orcid.org/0000-0003-4272-2151)
- Jian-Jun Zhang
Institutions
- Sichuan University (CN)
- West China Medical Center of Sichuan University (CN)
- West China Second University Hospital of Sichuan University (CN)
- West China Hospital of Sichuan University (CN)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2025-04-09
- DOI
- https://doi.org/10.2196/68762
- Citations
- 6
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 3.93