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This paper is in the following e-collection/theme issue:

Non-randomized Protocols and Methods (ehealth) (1116) Natural Language Processing (1320) Electronic Health Records (1772) Clinical Communication, Electronic Consultation and Telehealth (955) Responsible Health AI (248) Ambient AI Scribes and AI-Driven Documentation Technologies (113)

Published on in Vol 15 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/84688, first published .
Doctor discusses patient care with a woman in a medical exam room.

Longitudinal and Multimodal Recording System to Capture Real-World Patient-Clinician Conversations for AI and Encounter Research: Protocol for an Observational Study

Longitudinal and Multimodal Recording System to Capture Real-World Patient-Clinician Conversations for AI and Encounter Research: Protocol for an Observational Study

Authors of this article:

Misk Al Zahidy1 Author Orcid Image ;   Kerly Guevara Maldonado1 Author Orcid Image ;   Luis Vilatuna Andrango1 Author Orcid Image ;   Ana Cristina Proano1 Author Orcid Image ;   Ana Gabriela Claros1 Author Orcid Image ;   Maria Lizarazo Jimenez1 Author Orcid Image ;   Esteban Gomez-Alvarez1 Author Orcid Image ;   David Toro-Tobon1, 2 Author Orcid Image ;   Victor M Montori1, 2 Author Orcid Image ;   Oscar J Ponce-Ponte1, 3 Author Orcid Image ;   Juan P Brito1, 2 Author Orcid Image
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Journals

  1. Lizarazo Jimenez M, Claros A, Green K, Toro-Tobon D, Larios F, Asthana S, Wenczenovicz C, Guevara Maldonado K, Vilatuna-Andrango L, Proano A, Bandi S, Bagewadi S, Branda M, Al Zahidy M, Luz S, Lapata M, Brito J, Ponce-Ponte O. Patient-Centered Summarization Framework for AI Clinical Summarization: Mixed Methods Study. Journal of Medical Internet Research 2026;28:e87061 View