From words to action? A scoping review on automatic sentiment analysis of patient experience comments from online sources and surveys
Despite significant progress, modern methods like deep learning and generative AI remain underused in SA of patient-experience data. Limited focus on implementation restricts SA's role in quality improvement. Future research should assess advanced methods and their cost-effectiveness versus traditional ML.
Authors
- Elma Jelin
- Hilde Hestad Iversen (ORCID: https://orcid.org/0000-0002-6191-416X)
- Petter Mæhlum
- Øyvind Andresen Bjertnæs (ORCID: https://orcid.org/0000-0002-4261-5455)
- Rebecka Maria Norman (ORCID: https://orcid.org/0000-0001-7503-2048)
- Erik Velldal
- Lilja Øvrelid (ORCID: https://orcid.org/0000-0002-8880-8404)
- Lina H. Ellingsen‐Dalskau (ORCID: https://orcid.org/0000-0002-7181-4381)
- Lilja Charlotte Storset
Institutions
- Norwegian Institute of Public Health (NO)
- University of Oslo (NO)
Publication Details
- Journal
- BMJ Health & Care Informatics
- Published
- 2025-10-01
- DOI
- https://doi.org/10.1136/bmjhci-2025-101631
- Primary Topic
- Mental Health via Writing
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Norges Forskningsråd