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Ensuring General Data Protection Regulation Compliance and Security in a Clinical Data Warehouse From a University Hospital: Implementation Study

Ensuring General Data Protection Regulation Compliance and Security in a Clinical Data Warehouse From a University Hospital: Implementation Study

The objective of this study is to assess the applicability of this pioneering framework. The evaluation criterion is the level of compliance of the e HOP CDW with the CNIL CDW framework. For requirements where compliance proves challenging, we propose adjustments for consideration by national authorities. This paper first outlines the defining features of CDWs and the regulatory requirements stemming from GDPR and the French Data Protection Act.

Christine Riou, Mohamed El Azzouzi, Anne Hespel, Emeric Guillou, Gouenou Coatrieux, Marc Cuggia

JMIR Med Inform 2025;13:e63754

Author’s Reply: Examining Multimodal AI Resources in Medical Education: The Role of Immersion, Motivation, and Fidelity in AI Narrative Learning

Author’s Reply: Examining Multimodal AI Resources in Medical Education: The Role of Immersion, Motivation, and Fidelity in AI Narrative Learning

Investigating how these self-contained films perform across varied instructional modalities could yield valuable insights into their scalability and applicability within diverse educational contexts. Finally, I concur with the author’s observation that medical students are increasingly turning to digital platforms such as social media for information and engagement. Medical educators should take note and examine the factors that make these platforms so compelling.

Tyler Bland

JMIR Med Educ 2025;11:e72336

Enhancing Medical Student Engagement Through Cinematic Clinical Narratives: Multimodal Generative AI–Based Mixed Methods Study

Enhancing Medical Student Engagement Through Cinematic Clinical Narratives: Multimodal Generative AI–Based Mixed Methods Study

This promising pilot study shows potential for scalability and broad applicability of gen AI-enhanced CCNs. The strategy offers a model for transforming how complex medical topics are taught, providing a scalable, engaging solution that can be adapted across different medical content areas to meet evolving educational needs. Our project has limitations in terms of cultural adaptability due to its reliance on specific cultural references and celebrity figures, which may not resonate with all audiences.

Tyler Bland

JMIR Med Educ 2025;11:e63865

Comparing the Accuracy of Two Generated Large Language Models in Identifying Health-Related Rumors or Misconceptions and the Applicability in Health Science Popularization: Proof-of-Concept Study

Comparing the Accuracy of Two Generated Large Language Models in Identifying Health-Related Rumors or Misconceptions and the Applicability in Health Science Popularization: Proof-of-Concept Study

The aims were to explore the accuracy of identifying health-related rumors or misconceptions by GPT-4 and ERNIE Bot 4.0 and to further evaluate the applicability of health science popularization essays generated by them. This study aimed to compare the accuracy of rumor identification and the effectiveness of health science popularization between GPT-4 and ERNIE Bot 4.0, which did not involve the recruitment of human participants.

Yuan Luo, Yiqun Miao, Yuhan Zhao, Jiawei Li, Yuling Chen, Yuexue Yue, Ying Wu

JMIR Form Res 2024;8:e63188

A Novel Smartphone App for Self-Monitoring of Neonatal Jaundice Among Postpartum Mothers: Qualitative Research Study

A Novel Smartphone App for Self-Monitoring of Neonatal Jaundice Among Postpartum Mothers: Qualitative Research Study

Preference and convenience to check jaundice level at home Provides objectivity compared to visual inspection Limited applicability for severe jaundice Accuracy and reliability of the app Easy to use Instructions restricted to the English language Higher trust in health care professionals Guidance for app use and the management of jaundice Incorporation into teleconsultations All mothers were receptive to using HSMAs because of their convenience and quantitative measurement without the need to access health

Aminath Shiwaza Moosa, Alvin Jia Hao Ngeow, Yuhan Yang, Zhimin Poon, Ding Xuan Ng, Eileen Koh Yi Ling, Ngiap Chuan Tan

JMIR Mhealth Uhealth 2023;11:e53291

Consensus on the Terms and Procedures for Planning and Reporting a Usability Evaluation of Health-Related Digital Solutions: Delphi Study and a Resulting Checklist

Consensus on the Terms and Procedures for Planning and Reporting a Usability Evaluation of Health-Related Digital Solutions: Delphi Study and a Resulting Checklist

Future studies can contribute to further validating this study work by refining the definitions, assessing the practical applicability of the current checklist for specific digital health solutions, or assessing whether using this checklist results in higher-quality digital health solutions.

Ana Isabel Martins, Gonçalo Santinha, Ana Margarida Almeida, Óscar Ribeiro, Telmo Silva, Nelson Rocha, Anabela G Silva

J Med Internet Res 2023;25:e44326

Cognitive Bias Modification Training Targeting Fatigue in Patients With Kidney Disease: Usability Study

Cognitive Bias Modification Training Targeting Fatigue in Patients With Kidney Disease: Usability Study

During the evaluation phase, patients and professionals were asked to evaluate the intervention study, assess the communication with the researcher, and gauge applicability of the training in their medical setting. The translated interview guides for all the interviews can be found in Multimedia Appendix 1. Both self-identity bias and attentional bias CBM trainings were an adaptation of the original test versions.

Jody Geerts, Marcel Pieterse, Goos Laverman, Femke Waanders, Nicole Oosterom, Jacqueline Slegten, Elske Salemink, Christina Bode

JMIR Form Res 2023;7:e43636