Health Informatics Education and Training

Articles published in 2026 in this theme: 14 (scroll down to load remaining articles)

2026

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Design and Evaluation of a Faculty Development Workshop Series on Integrating Generative Artificial Intelligence in Medical Education: Mixed Methods Pilot Study

Rajalakshmi Anand, Nicole Bowers, Mange Festo Manyama

JMIR Med Educ 2026 (May 06); 12:e89815

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Psychometric Evaluation of the Canadian Nurse Informatics Competency Assessment Scale and the Digital-Technology Self-Efficacy Scale Among Saudi Nursing Students: Cross-Sectional Study

Nader Alnomasy, Habib Alrashedi, Sharifah Alsayed, Petelyne Pangket, Ebtsam Abou Hashish, Razan Alsayed, Romeo Jr Mostoles

JMIR Nursing 2026 (May 05); 9:e88075

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Value, Structure, and Curriculum in US Graduate Health Informatics Programs: Cross-Sectional Study

Suhila Sawesi, Diane M Dolezel, Pranitha Presingu, Michael Irungu

JMIR Med Educ 2026 (May 01); 12:e87479

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The Influencing Factors of Medical Postgraduates’ Usage Intention Toward Artificial Intelligence–Generated Content Tools in Academic Research: Qualitative Analysis

Chen Wang, Liu Wang, Xuejiao Zhang, Huiying Qi

J Med Internet Res 2026 (May 01); 28:e77928

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Nursing Informaticians in Spain: Scoping Review and Expert-Validated Gap Analysis

Adrián Marco-Moyano, Patricia Verdú Rodríguez, Manuel Lillo-Crespo

JMIR Nursing 2026 (Apr 27); 9:e83373

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Knowledge, Attitudes, and Training Needs for AI in Primary Care: National Survey Study of Clinicians in the Veterans Health Administration

Varsha G Vimalananda, Ben Kragen, Alison J Leibowitz

JMIR Form Res 2026 (Apr 22); 10:e90641

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Public Perceptions of AI in Medicine and Implications for Future Medical Education: Cross-Sectional Survey

Michael Constantin Kirchberger

JMIR Form Res 2026 (Apr 15); 10:e89123

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An Introduction to AI for Clinicians: Tutorial

Stephen B Lee, Alexis B Carter, Muhammad Hamis Haider, Seok-Bum Ko

Interact J Med Res 2026 (Mar 30); 15:e85266

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Medical Student Experiences With ChatGPT: National Cross-Sectional Study

Alan Yuesheng Xu, Skye Speakman, Vincent Salvatore Piranio, Robert Medina, Michelle Liu, Chris Lamprecht, Nicolas Abchee, Meghan Brennan

JMIR Form Res 2026 (Mar 09); 10:e76838

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Exploring Clinician Perspectives on Artificial Intelligence in Primary Care: Qualitative Systematic Review and Meta-Synthesis

Robin Bogdanffy, Alisa Mundzic, Peter Nymberg, David Sundemo, Anna Moberg, Carl Wikberg, Ronny Kent Gunnarsson, Jonathan Widén, Pär-Daniel Sundvall, Artin Entezarjou

JMIR AI 2026 (Feb 05); 5:e72210

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Developing a Best Practice Guideline for Clinical Practice in a Digital Health Environment: Systematic Reviews Based on the Grading of Recommendations, Assessment, Development, and Evaluation Approach

Lauren Bailey, Lyndsay Howitt, Nafsin Nizum, Christine Buchanan, Maureen Charlebois, Jennifer Yoon, RNAO Expert Panel

JMIR Nursing 2026 (Jan 23); 9:e74942

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Data Science Education for Residents, Researchers, and Students in Psychiatry and Psychology: Program Development and Evaluation Study

Hayoung K Donnelly, David Mandell, Sy Hwang, Emily Schriver, Ugurcan Vurgun, Graydon Neill, Esha Patel, Megan E Reilly, Michael Steinberg, Amber Calloway, Robert Gallop, Maria A Oquendo, Gregory K Brown, Danielle L Mowery

JMIR Med Educ 2026 (Jan 16); 12:e75125

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Evaluation of a Problem-Based Learning Program’s Effect on Artificial Intelligence Ethics Among Japanese Medical Students: Mixed Methods Study

Yuma Ota, Yoshikazu Asada, Saori Kubo, Takeshi Kanno, Machiko Saeki Yagi, Yasushi Matsuyama

JMIR Med Educ 2026 (Jan 14); 12:e84535

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Adaptation of the Japanese Version of the 12-Item Attitudes Towards Artificial Intelligence Scale for Medical Trainees: Multicenter Development and Validation Study

Hirohisa Fujikawa, Hirotake Mori, Kayo Kondo, Yuji Nishizaki, Yuichiro Yano, Toshio Naito

JMIR Med Educ 2026 (Jan 14); 12:e81986

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