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Ethics and Equity Challenges in Telerehabilitation for Older Adults: Rapid Review

Mirella Veras, Louis-Pierre Auger, Jennifer Sigouin, Nahid Gheidari, Michelle LA Nelson, William C Miller, Anne Hudon, Dahlia Kairy

JMIR Aging 2025;8:e69660

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Exploring the Impact of the Caring Contacts Intervention on the Stress and Distress of Veterans and Service Members: Protocol for a Randomized Controlled Trial

The Columbia-Suicide Severity Rating Scale (C-SSRS) screener [106-113] assesses recent suicidal behavior, including preparatory behavior, and aborted, interrupted, and actual attempts. To maximize readability, the pediatric or cognitively impaired C-SSRS version [114] was selected for this study, and additional items were developed and added to gather additional details on suicidal behavior.

Barbara Wright, Anna Evanson, Cameron Casey, Keyne C Law, Andrew H Rogers, Katherine Anne Comtois

JMIR Res Protoc 2025;14:e72140

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Identifying Substance Use and High-Risk Sexual Behavior Among Sexual and Gender Minority Youth by Using Mobile Phone Data: Development and Validation Study

Mehrab Beikzadeh, Ian W Holloway, Kimmo Kärkkäinen, Chenglin Hong, Cory Cascalheira, Elizabeth S C Wu, Callisto Boka, Alexandra C Avendaño, Elizabeth A Yonko, Majid Sarrafzadeh

Online J Public Health Inform 2025;17:e68013

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Frequency and Predictors of Virtual Visits in Patients With Heart Failure Within a Large Health System: Retrospective Cohort Study

Anna M Maw, Garth C Wright, Meagan R Bean, Larry A Allen, Daniel D Matlock, Lilia Cervantes, Russell E Glasgow, Amy G Huebschmann, Kathryn L Colborn, Thomas K Houston, Katie E Trinkley

J Med Internet Res 2025;27:e70414

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Examining Nonverbal Communication in Dyadic Interactions With Virtual Humans Using an Integrated Coding System: Mixed Methods Analysis

Analay Perez, Rae Sakakibara, Srikar Baireddy, Michael D Fetters, Timothy C Guetterman

JMIR Form Res 2025;9:e59328

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Guidelines for Rapport-Building in Telehealth Videoconferencing: Interprofessional e-Delphi Study

Paula D Koppel, Jennie C De Gagne, Michelle Webb, Denise M Nepveux, Janelle Bludorn, Aviva Emmons, Paige S Randall, Neil S Prose

JMIR Med Educ 2025;11:e76260

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Classifying Patient Complaints Using Artificial Intelligence–Powered Large Language Models: Cross-Sectional Study

Sky Wei Chee Koh, Eunice Rui Ning Wong, John Chong Min Tan, Stephanie C C van der Lubbe, Jun Cong Goh, Ethan Sheng Yong Ching, Ian Wen Yih Chia, Si Hui Low, Ping Young Ang, Queenie Quek, Mehul Motani, Jose M Valderas

J Med Internet Res 2025;27:e74231

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Consumer Data is Key to Artificial Intelligence Value: Welcome to the Health Care Future

FHIR builds upon its predecessor, the HL7 Consolidated Clinical Document Architecture (C-CDA) [25], a document-based standard used to capture a “point-in-time” snapshot of a consumer health record. Unlike C-CDA, FHIR uses modern web technology, such as RESTful APIs, JSON, and XML to enable consistent data exchange. Importantly, FHIR APIs allow for “real-time” data exchange through their discrete resource design.

James C

J Particip Med 2025;17:e68261

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