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Non-randomized Protocols and Methods (ehealth) (671) Generative Language Models Including ChatGPT (708) Electronic Health Records (1319) Design and Usability of Clinical Software and EHRs (348) AI Language Models in Health Care (202) Artificial Intelligence (2127)

Published on in Vol 14 (2025)

This is a member publication of IDIAP Jordi Gol

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66232, first published .
Assessing Patient-Reported Satisfaction With Care and Documentation Time in Primary Care Through AI-Driven Automatic Clinical Note Generation: Protocol for a Proof-of-Concept Study

Assessing Patient-Reported Satisfaction With Care and Documentation Time in Primary Care Through AI-Driven Automatic Clinical Note Generation: Protocol for a Proof-of-Concept Study

Assessing Patient-Reported Satisfaction With Care and Documentation Time in Primary Care Through AI-Driven Automatic Clinical Note Generation: Protocol for a Proof-of-Concept Study

Authors of this article:

Josep Vidal-Alaball1, 2, 3 Author Orcid Image ;   Carlos Alonso4 Author Orcid Image ;   Daniel Hugo Heinisch4 Author Orcid Image ;   Alberto Castaño4 Author Orcid Image ;   Encarna Sánchez-Freire3, 5 Author Orcid Image ;   María Luisa Benito Serrano6, 7 Author Orcid Image ;   Carla Ferrer Pascual6 Author Orcid Image ;   Ignacio Menacho6 Author Orcid Image ;   Ruthy Acosta-Rojas8 Author Orcid Image ;   Odda Cardona Gubert5 Author Orcid Image ;   Rosa Farrés Creus5 Author Orcid Image ;   Joan Armengol Alegre3, 5 Author Orcid Image ;   Carles Martínez Querol6 Author Orcid Image ;   Marina Moreno-Martinez2, 9 Author Orcid Image ;   Mercè Gonfaus Font10 Author Orcid Image ;   Silvia Narejos8 Author Orcid Image ;   Anna Gomez-Fernandez11 Author Orcid Image
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