Evaluating Patient and Professional Satisfaction and Documentation Time Reduction Through AI-Driven Automatic Clinical Note Generation in Primary Care: Proof-of-Concept Study
The implementation of an AI tool was feasible in routine primary care, was well accepted by clinicians, and did not negatively affect patient satisfaction, with a generally low transcription review burden. However, this proof-of-concept study does not allow conclusions about comparative time savings, and adequately powered randomized studies are needed to confirm benefits for care quality and efficiency.
Authors
- Josep Vidal‐Alaball (ORCID: https://orcid.org/0000-0002-3527-4242)
- José Alberto Domínguez-Alonso (ORCID: https://orcid.org/0000-0002-3487-1512)
- Alberto Barrientos Castaño (ORCID: https://orcid.org/0000-0002-3946-5820)
- Daniel Hugo Heinisch
- Montserrat Ciurana Tebé
- Anna Gomez-Fernandez
- Jordi Ros Baró
- Gustavo Isaac Jurado Hamud (ORCID: https://orcid.org/0000-0001-5151-8772)
- Arlett Adriana Torres-Mercado (ORCID: https://orcid.org/0000-0002-7013-0172)
- Laia Sola Reguant
- Carlos Alonso
- Ruthy Acosta-Rojas
Institutions
- Universitat de Vic - Universitat Central de Catalunya (ES)
- Hebron University (PS)
- Universitat Oberta de Catalunya (ES)
- Generalitat de Catalunya (ES)
- Zdravstveni centar (RS)
- EP Analytics (United States) (US)
- Leitat Technological Center (ES)
- Institut Universitari d'Investigació en Atenció Primària Jordi Gol (ES)
- Institut Català de la Salut (ES)
Publication Details
- Journal
- JMIR AI
- Published
- 2026-02-24
- DOI
- https://doi.org/10.2196/80549
- Primary Topic
- Electronic Health Records Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00