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Challenges for Data Quality in the Clinical Data Life Cycle: Systematic Review

Challenges for Data Quality in the Clinical Data Life Cycle: Systematic Review

To establish standards for the data life cycle, we analyzed the literature related to data frameworks and identified ways to construct data quality management procedures. The data quality evaluation criteria, quality evaluation methods, data types, and vocabulary used in each article were also collected. The content of the articles was then repeatedly reviewed to define their quality control dimensions.

Doyeon An, Minsik Lim, Suehyun Lee

J Med Internet Res 2025;27:e60709

Quality Assessment of Digital Health Apps: Umbrella Review

Quality Assessment of Digital Health Apps: Umbrella Review

Intervention: Not a quality assessment frameworks or criteria review. Comparator: N/A Outcome: No information on quality assessment frameworks or criteria. Does not focus on digital health apps. Articles targeting specific users (eg, women or adolescence). Focuses on specific feature or category (condition area). Frameworks that focus on user acceptance of technology.

Maciej Marek Zych, Raymond Bond, Maurice Mulvenna, Jorge Martinez Carracedo, Lu Bai, Simon Leigh

J Med Internet Res 2024;26:e58616

Regulating AI in Mental Health: Ethics of Care Perspective

Regulating AI in Mental Health: Ethics of Care Perspective

As legal attempts to regulate AI continue worldwide, this could be an opportunity for regulators to create new guidance frameworks that address care, relationships, and emotions and are flexible enough to adapt to rapid technological and sociological changes. This article suggests regulators should adopt the ethics of care lens as a tool for viewing AI’s societal implications and the state’s role in addressing them.

Tamar Tavory

JMIR Ment Health 2024;11:e58493

Identifying Existing Guidelines, Frameworks, Checklists, and Recommendations for Implementing Patient-Reported Outcome Measures: Protocol for a Scoping Review

Identifying Existing Guidelines, Frameworks, Checklists, and Recommendations for Implementing Patient-Reported Outcome Measures: Protocol for a Scoping Review

Along with the increase in the use of PROMs, it is important to ensure that guidelines, frameworks, checklists, and recommendations for implementing PROMs, addressing various aspects of PROMs’ implementation, exist to aid successful PROs collection. The findings of this scoping review will help us identify which guidelines, frameworks, checklists, and recommendations exist and if and how they have been applied in PROMs’ implementation in clinical trials, clinical practice, and CQRs.

Randi Thisakya Jayasinghe, Susannah Ahern, Ashika D Maharaj, Lorena Romero, Rasa Ruseckaite

JMIR Res Protoc 2024;13:e52572

Usability and Feasibility Evaluation of a Web-Based and Offline Cybersecurity Resource for Health Care Organizations (The Essentials of Cybersecurity in Health Care Organizations Framework Resource): Mixed Methods Study

Usability and Feasibility Evaluation of a Web-Based and Offline Cybersecurity Resource for Health Care Organizations (The Essentials of Cybersecurity in Health Care Organizations Framework Resource): Mixed Methods Study

Although most cybersecurity toolkits and frameworks focus on practices across all critical sectors and are not specific to the health care context, more guidance for the health sector has been developed in recent years, including the Health Care and Public Health Sector Cybersecurity Framework Implementation Guide [10].

Niki O'Brien, Roberto Fernandez Crespo, Fiona O'Driscoll, Mabel Prendergast, Deeph Chana, Ara Darzi, Saira Ghafur

JMIR Form Res 2024;8:e50968

Mapping Theories, Models, and Frameworks to Evaluate Digital Health Interventions: Scoping Review

Mapping Theories, Models, and Frameworks to Evaluate Digital Health Interventions: Scoping Review

One way of facilitating the systematic understanding and explanation of the complex interactions between users, practices, technology, and health system factors that underpin research questions [20,21] is to use theories, models, and frameworks (TMFs). There is a wide range of TMFs that have been used in studies of knowledge translation [22,23], and implementation science [24] (examples of more than 40 TMFs are cited).

Geneviève Rouleau, Kelly Wu, Karishini Ramamoorthi, Cherish Boxall, Rebecca H Liu, Shelagh Maloney, Jennifer Zelmer, Ted Scott, Darren Larsen, Harindra C Wijeysundera, Daniela Ziegler, Sacha Bhatia, Vanessa Kishimoto, Carolyn Steele Gray, Laura Desveaux

J Med Internet Res 2024;26:e51098

A Framework to Guide Implementation of AI in Health Care: Protocol for a Cocreation Research Project

A Framework to Guide Implementation of AI in Health Care: Protocol for a Cocreation Research Project

In total, 25 theories, models, and frameworks across multiple research and practice areas were examined. A synthesis of the frameworks yielded 14 activities (referred to as steps) to be carried out in the implementation process. These steps are clustered into a 4-phase temporal sequence [25]. The first phase of the QIF is an initial consideration regarding the host setting, with work focusing primarily on making sure there is a fit between the innovation and the host setting.

Per Nilsen, Petra Svedberg, Margit Neher, Monika Nair, Ingrid Larsson, Lena Petersson, Jens Nygren

JMIR Res Protoc 2023;12:e50216