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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

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  1. Fuster-Casanovas A, Vidal-Alaball J, Alonso C, Miró Catalina Q, Hugo Heinisch D, Domínguez-Alonso J, Jurado Hamud G, Acosta-Rojas R, Torres-Mercado A, Ros Baró J, Ciurana Tebé M, Castaño A, Sola Reguant L, Gomez-Fernandez A. Evaluating Patient and Professional Satisfaction and Documentation Time Reduction Through AI-Driven Automatic Clinical Note Generation in Primary Care: Proof-of-Concept Study. JMIR AI 2026;5:e80549 View