Digital Health Reporting Standards, Quality and Transparency in e-Research

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Articles published in this theme: 206 (scroll down to load remaining articles)

2026

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When Missing Data Speak: An Adherence-Driven Sparsity Framework for Patient-Generated Telemedicine Data

Gábor Kőrösi, István Kósa, Beatrix Rafael

Online J Public Health Inform 2026 (Nov 05); 18:e92710

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Doctor and nurses review patient data on a digital health dashboard

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Development and Content Validation of a Self-Assessment Checklist for Electronic Medical Record Use Certification in Korea: Convergent Mixed Methods Study

Joohyun Chung, Ye-Eun Park, Yoomi Kim, Jae-Ho Lee, Yura Lee

JMIR Med Inform 2026 (Nov 04); 14:e95500

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Telehealth consultation: Doctor and patient discuss medical data on screens, nurse attends to patient at home.

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What Does Your AI Mean by “Flourishing”? The Case for Disclosing and Benchmarking the Values in AI Alignment

Alexandre Castonguay

J Meta and Res Int 2026 (Nov 03); 1:e106380

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Redundancy in Evidence Synthesis: Overlap, Waste, and Distortion in the Secondary Evidence Ecosystem

Chen Chengxun, Yi Zhou, Jianghong Yao

J Meta and Res Int 2026 (Nov 02); 1:e104150

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Reporting Gaps and Challenges in Randomized Trials of Generative AI for Medical Use: Insights From a Systematic Review

Jae Eun Ko, Ji Woo Hwang, Sung Min Kim, Ji Yean Kwon

J Med Internet Res 2026 (Oct 28); 28:e94543

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Derivative Epistemic Agency: AI-Mediated Scientific Cognition and the Limits of Human Answerability

Åke Elden

J Meta and Res Int 2026 (Oct 27); 1:e105907

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Capacity, Collaboration, and Thematic Structure in Health AI Research Over the Past Decade in the Gulf Cooperation Council: Scientometric Analysis

Ahmed Alqheedan, Saleh Alzughaibi

JMIR Med Inform 2026 (Oct 21); 14:e105709

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From AI Disclosure to Judgment Traceability: Addressing Research Waste in AI-Assisted Health Sciences Publishing

Tino Hsieh, Ya-Ting Chen

J Meta and Res Int 2026 (Oct 19); 1:e106068

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Algorithmic Research Waste in Health Care AI: The VALUE-AI (Valid Question and Purpose, Appropriate Data and Population Fit, Local Workflow and Intended Use, Usability, Safety, and Accountability, Equity and External Validity, and Auditability and Impact Monitoring) Lens for Decision-Useful Evidence

Dabeluchi Chiedozie Ngwu

J Meta and Res Int 2026 (Oct 16); 1:e104222

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Quality Assessment of Physician Discharge Summaries: Instrument Development and Reliability Study

Leopold Bentheim, Leonard Fehring, Hendrik Friederichs, Samer Zawy Alsofy, Markus Unnewehr

JMIR Form Res 2026 (Oct 13); 10:e105705

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AI Model Reporting Standards in Health Care: Systematic Review and Consolidation

Ekaterina Akhmad, Daniël Slob, Aiara Lobo Gomes, Simone Mingels, Andre Dekker, Johan van Soest

JMIR AI 2026 (Oct 09); 5:e92329

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Cost and Data Quality Impact of Fraud Mitigation in Online Research: Framework Application and Evaluation Study

Maya Stemmer, Benjamin Buck, Justin Tauscher, Angelina Pei-Tzu Tsai, Anna Larsen, Patrick Wedgeworth, Gillian Sparks, Ella DeVries, Mercedes Bishop, Alexa Beaulieu, Trevor Cohen, Dror Ben-Zeev

J Med Internet Res 2026 (Oct 08); 28:e93951

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Healthcare professionals in a meeting discuss AI equity and data justice with a presentation on patient subgroup safety analysis.

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Refined Exclusion in Medical AI: Data Justice and Patient Safety Governance

Jae Hyun Lee, Boram Choi, Kwunho Jeong, Sang Won Suh, Ju Han Kim, Dae-Soon Son

J Med Internet Res 2026 (Oct 01); 28:e102359

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Conversational AI in Hereditary Cancer Care: Sociotechnical Study of Responsible Design Requirements

Dominic Lammert, Jacqueline Lammert, Justin Hofenbitzer, Tristan Radtke, Yingping Sun, Martin Haimerl, Stefanie Betz, Doran Holger Scholl, Jürgen Pfeffer

JMIR Hum Factors 2026 (Sep 30); 13:e97869

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A Multi-Model, Pixel-Native Framework for Automated Computed Tomography Series Labeling and Characterization: Proof-of-Concept Study

Yutong Wen, Anton Sheahan Quinsten, Cynthia Sabrina Schmidt, Christian Bojahr, Judith Kohnke, Kamyar Arzideh, Sina Warmer, Sebastian Blex, Ann-Christin Jacoby, Max Eberts, Hanna Lehmann, Olivia Barbara Pollok, Mathias Holtkamp, Luca Salhöfer, Lale Umutlu, Michael Forsting, Johannes Haubold, Felix Nensa, Katarzyna Borys, René Hosch

JMIR Med Inform 2026 (Sep 29); 14:e93018

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Explicit Mechanistic Causal Analyses or Interventional Trials Are Required for Objective, Clinical, Voice-Based Parkinson Disease Characterization

Max Little

J Med Internet Res 2026 (Sep 28); 28:e111711

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The Use of Waivers of Guardian Permission in the United States for Pediatric Digital Health Intervention Research Since 2020: Systematic Review

Colleen Stiles-Shields, Elyse Shenberger, Ann Bernica, Gabriella Bobadilla, Kandis Fletcher, Jasmine George, Sydney Gordon, Erika L Gustafson, Crystal S Hernandez, Taylor L Hilderbrand, Sarah N Kumi, Christine A Lee, Sarah I Lorduy, Meera Phanse, Lauren M Potthoff, Naomi Quezada, Dale L Smith, Holly J Hudson, Emily E Anderson

J Med Internet Res 2026 (Sep 25); 28:e87047

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Evaluating the Accuracy of Large Language Models in Risk-of-Bias Assessment Using Version 2 of the Cochrane Risk-of-Bias Tool for Randomized Trials: Exploratory Feasibility Study

Yu-Ju Lai, Shen-Hua Lin, Jen-Wei Liu

J Med Internet Res 2026 (Sep 25); 28:e84915

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Retrieve-Then-Verify for Evaluating Evidence Support and Hallucination in Large Language Model–Generated Medical Information: Empirical Study

Zhaohui Liang, Cynthia Sheffield, Gisela Butera, Sameer Antani

JMIR AI 2026 (Sep 16); 5:e93761

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