Health Professionals' Training in eHealth, Digital Medicine, Medical Informatics

Understanding Clinicians’ Informational Needs for AI-Driven Clinical Decision Support Systems: Qualitative Interview Study

Simone Mingels, Hannah Piehl, Madeline Therrien, Ekaterina Akhmad, Anniek van Hienen, Johan van Soest, Laura Hochstenbach, Andre Dekker, Olga Damman, Rianne Fijten

JMIR Med Educ 2026 (Mar 12); 12:e85228

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Artificial Intelligence for Medicines Information: Scoping Review of Clinical Applications and Digital Health Inequalities

Shahd Al-Arkee, Josephine Falade, Vibhu Paudyal

J Med Internet Res 2026 (Mar 06); 28:e77747

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Perceptions and Intentions of Nursing Students Regarding Digital Health: Cross-Sectional Study

Alexandre Castonguay, Sandrine Hegg-Deloye, Guy Paré, Faustin Armel Etindele Sosso

JMIR Nursing 2026 (Mar 05); 9:e77051

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Mental Health Professionals’ Perceptions of Benefits and Disadvantages of Telehealth: International Mixed Methods Study

Madeline I Montoya, Cary S Kogan, Brigitte Khoury, José A García-Pacheco, Rebeca Robles, Tahilia J Rebello, Maya Kulygina, Geoffrey M Reed

J Med Internet Res 2026 (Mar 04); 28:e75905

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AI Competency: Current State and Challenges

Sian Tsuei

JMIR Med Educ 2026 (Mar 03); 12:e86686

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Exploring Use of Digital Health Technologies, Digital Health Care Literacy, and Attitudes Toward Digital Health Among Norwegian Health Care Personnel Involved in Home-Based Pediatric Palliative Care: Cross-Sectional Study

Judith Schröder, Kirsti Riiser, Heidi Holmen

JMIR Form Res 2026 (Feb 26); 10:e74928

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Screening by Health Care Systems for Barriers to Patient Engagement With Digital Health Care: Cross-Sectional Survey Study

Jonathan J Shih, Andersen Yang, Vivian E Kwok, Amy R Sheon, Robert L Ellis, Emilia H De Marchis, Lisa C Diamond, Marika Dy, Courtney R Lyles, Carmen Ma, Nilpa D Shah, Kelsey H Natsuhara, Sarah B Rahman, Jorge A Rodriguez, Urmimala Sarkar, Anjana E Sharma, Elaine C Khoong

JMIR Form Res 2026 (Feb 25); 10:e85205

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The Design and Evaluation of an Online Continuing Medical Education App for Medical Professionals in China: Quantitative Study

Xu Zhang, Xianying He, Yuntian Chu, Dongqing Liu, Minzhao Lyu, Weiyi Wang, Haotian Chen, Meihao Ji, Fangfang Cui, Jie Zhao

JMIR Med Educ 2026 (Feb 23); 12:e76299

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Effectiveness of Informed AI Use on Clinical Competence of General Practitioners and Internists: Pre-Post Intervention Study

Eyad A Qunaibi, Ayman M Al-Qaaneh, Baraa F Ismail, Hussam I Muhidat, Farhia S Rageh, Najwa A Musallam, Alaa K Fawzy

JMIR Med Educ 2026 (Feb 05); 12:e75534

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Community Health Nurses’ Knowledge and Perceptions of AI in Canada: National Cross-Sectional Survey

Mary Henderson Betkus, Davina Banner, Leanne Currie, Piper Jackson, Shannon Freeman

JMIR Nursing 2026 (Jan 23); 9:e78560

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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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Evidence for Digital Health Tools Designed to Support the Triage of Musculoskeletal Conditions in Primary, Urgent, and Emergency Care Settings: Scoping Review

Linda K Truong, James G Wrightson, Raphaël Vincent, Eunice Lui, Jamon L Couch, Ellen Wang, Cobie Starcevich, Dean Giustini, Alex Haagaard, Elena Lopatina, Niels van Berkel, Michael Skovdal Rathleff, Clare L Ardern

J Med Internet Res 2026 (Jan 14); 28:e81578

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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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From Agents to Governance: Essential AI Skills for Clinicians in the Large Language Model Era

Weiping Cao, Qing Zhang, Jialin Liu, Siru Liu

J Med Internet Res 2026 (Jan 14); 28:e86550

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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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