Faculty, Staff and Student Publications
Language
English
Publication Date
1-25-2024
Journal
Studies in Health Technology and Informatics
DOI
10.3233/SHTI231016
PMID
38269860
Abstract
Dramatic improvements in patient-facing technologies have demonstrated the potential to transform healthcare delivery for a 360-degree holistic view of care. A key question regarding how such technologies affect patient self-reporting still needs to be answered. This study presents the technologies and their associated key variables via quantitative analysis. Associations were found between single-platform and web-based applications (apps), Android apps and physician view, mental health disease, and user feedback. The results are intended to inform future design, development, and evaluation of patient-facing technologies. More systematic, theory-driven, framework-based design and evaluation are necessary to fully characterize the effectiveness and maintenance of patient-facing technologies toward a sustainable strategy.
Keywords
Humans, Mental Disorders, Patients, Physicians, Self Report, Software, Patient-facing technologies, patient self-reporting, quantitative analysis
Published Open-Access
yes
Recommended Citation
Ding, Mengchen; Cho, Youmin; Jiang, Yun; et al., "A Quantitative Analysis of Patient-Facing Technologies for Patient Self-Reporting" (2024). Faculty, Staff and Student Publications. 868.
https://digitalcommons.library.tmc.edu/uthshis_docs/868