Artificial intelligence machine learning-driven outpatient appointment management: A qualitative study on acceptability
This study explores patient and staff perceptions of AI in NHS appointment management. Despite high trust in data security, privacy concerns, inefficiencies, and limited interactivity hinder adoption. Accuracy and convenience drive engagement. Findings highlight the need for better integration, clarity, interactivity, and accessibility to enhance user experience and AI adoption in healthcare.
Authors
- Daniel Frings (ORCID: https://orcid.org/0000-0002-0183-9516)
- Kerry Wood (ORCID: https://orcid.org/0000-0002-8523-3182)
- Nicola Thomas (ORCID: https://orcid.org/0000-0002-8311-7356)
- Chris Flood (ORCID: https://orcid.org/0000-0001-5170-7792)
Institutions
- London South Bank University (GB)
Publication Details
- Journal
- Digital Health
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1177/20552076251321016
- Citations
- 3
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.96