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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

Assuming normality in the difference of the samples (a hypothesis that will be verified during the statistical tests), the formula for the determination of the required sample size is the following: Where Zα and Zβ represent the Z-table values for confidence level and test power, respectively, sigma is the SD of the (estimated) differences, and d is the effect size to be measured.

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