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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

This study was approved by the University Institute for Primary Care Research Jordi Gol Health Care Ethics Committee (Code 3/286-P). The research adhered to institutional guidelines for studies involving human subjects, including those requiring the recording of patient interactions and subsequent analysis. Written informed consent will be obtained from all participants before their inclusion in the study. Participation was entirely voluntary.

Josep Vidal-Alaball, Carlos Alonso, Daniel Hugo Heinisch, Alberto Castaño, Encarna Sánchez-Freire, María Luisa Benito Serrano, Carla Ferrer Pascual, Ignacio Menacho, Ruthy Acosta-Rojas, Odda Cardona Gubert, Rosa Farrés Creus, Joan Armengol Alegre, Carles Martínez Querol, Marina Moreno-Martinez, Mercè Gonfaus Font, Silvia Narejos, Anna Gomez-Fernandez

JMIR Res Protoc 2025;14:e66232