This paper is in the following e-collection/theme issue:

Engagement with and Adherence to Digital Health Interventions, Law of Attrition (646) Ophthalmology (69) mHealth for Screening (298) Telehealth and Telemonitoring (2104) Imaging Informatics (308) Medical imaging (116)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45545, first published .
Service Quality and Residents’ Preferences for Facilitated Self-Service Fundus Disease Screening: Cross-Sectional Study

Service Quality and Residents’ Preferences for Facilitated Self-Service Fundus Disease Screening: Cross-Sectional Study

Service Quality and Residents’ Preferences for Facilitated Self-Service Fundus Disease Screening: Cross-Sectional Study

Authors of this article:

Senlin Lin1, 2, 3 Author Orcid Image ;   Yingyan Ma1, 2, 3, 4 Author Orcid Image ;   Yanwei Jiang5 Author Orcid Image ;   Wenwen Li6 Author Orcid Image ;   Yajun Peng1, 2, 3 Author Orcid Image ;   Tao Yu1, 2, 3 Author Orcid Image ;   Yi Xu1, 2, 3 Author Orcid Image ;   Jianfeng Zhu1, 2, 3 Author Orcid Image ;   Lina Lu1, 2, 3 Author Orcid Image ;   Haidong Zou1, 2, 3, 4 Author Orcid Image
Article Authors Cited by (5) Tweetations (3) Metrics

Journals

  1. Qi Y, Mohamad E, Azlan A, Zhang C. Utilization of artificial intelligence in clinical practice: A systematic review of China's experiences. DIGITAL HEALTH 2025;11 View
  2. Wu Y, Gao G, Lei L, Yu T, Peng Y, Yang S, Gao M, Lin S, Wu T, Li D, Yao C, Lu L. Effectiveness and satisfaction of fully self-service fundus disease screening among middle-aged individuals: a cross-sectional study. BMJ Open Ophthalmology 2025;10(1):e001950 View
  3. Zhang L, Hussain W, Md Ali S. Trust transfer in digital healthcare: The role of self-service systems in reducing patient treatment barriers. DIGITAL HEALTH 2025;11 View
  4. Lin S, Zhang J, Jan C, Li L, Peng Y, Qian D, Yin Y, Zhang M, Feng J, He M, Zou H. Impact of artificial intelligence on the availability, accessibility, acceptability and quality of ophthalmic disease screening services: a scoping review. British Journal of Ophthalmology 2025:bjo-2024-325174 View
  5. Ma Y, Shi X, Lu L, Xu Y, Zhang J, Yu T, Peng Y, Ke E, Lin S, Guo R, Zou H. Reducing the healthcare carbon footprint through fully self-service artificial intelligence-powered screening: A comparative simulation study utilizing data from Shanghai City and Lixin Town, China. Journal of Cleaner Production 2026;538:147331 View