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Evaluating the Quality of Psychotherapy Conversational Agents: Framework Development and Cross-Sectional Study

Evaluating the Quality of Psychotherapy Conversational Agents: Framework Development and Cross-Sectional Study

Given the risks associated with Gen AI chatbots, the lack of government regulation [6], and calls from stakeholders for more guidance [16], a standardized and comprehensive evaluation framework to assess the quality of psychotherapy chatbots is needed to inform clinicians and consumers.

Kunmi Sobowale, Daniel Kevin Humphrey

JMIR Form Res 2025;9:e65605

Designing Clinical Decision Support Systems (CDSS)—A User-Centered Lens of the Design Characteristics, Challenges, and Implications: Systematic Review

Designing Clinical Decision Support Systems (CDSS)—A User-Centered Lens of the Design Characteristics, Challenges, and Implications: Systematic Review

The primary users of CDSS in the reviewed studies were predominantly clinicians (37/40, 92.5%), with only 3 systems (3/40, 7.5%) designed for both clinicians and patients. Interaction and user-facing characteristics of clinical decision support systems. Primarily, CDSS uses 3 channels for data or information access and input. The first is manual entry, where users input necessary data or request recommendations [38,40,41,44,46-49,55,56,58,59,64,65,67,69].

Andrew A Bayor, Jane Li, Ian A Yang, Marlien Varnfield

J Med Internet Res 2025;27:e63733

Patient and Clinician Perspectives on the Effectiveness of Current Telemedicine Approaches in Endocrinology Care for Type 2 Diabetes: Qualitative Study

Patient and Clinician Perspectives on the Effectiveness of Current Telemedicine Approaches in Endocrinology Care for Type 2 Diabetes: Qualitative Study

Diabetes specialty care clinicians were recruited via direct email outreach in June 2023. All 44 clinicians targeted for recruitment worked in adult endocrinology clinics. Patient participants were recruited from respondents to a previous survey study about telemedicine for T2 D conducted between August 2022 and March 2023.

Margaret Zupa, Megan Hamm, Lane Alexander, Ann-Marie Rosland

JMIR Diabetes 2025;10:e60765

Good-Quality mHealth Apps for Endometriosis Care: Systematic Search

Good-Quality mHealth Apps for Endometriosis Care: Systematic Search

There is a need to systematically evaluate endometriosis m Health apps to inform the endometriosis community and clinicians about the advantages and disadvantages of those currently available using validated and standardized tools [9,19]. Therefore, the aim of this study was to conduct a systematic search of m Health apps that support endometriosis care to evaluate the quality and recommend those apps that meet specific quality metrics to the endometriosis community and clinicians.

Diksha Sirohi, Cecilia HM Ng, Niranjan Bidargaddi, Helen Slater, Melissa Parker, M Louise Hull, Rebecca O'Hara

J Med Internet Res 2025;27:e49654

Enhancing Health Equity and Patient Engagement in Diabetes Care: Technology-Aided Continuous Glucose Monitoring Pilot Implementation Project

Enhancing Health Equity and Patient Engagement in Diabetes Care: Technology-Aided Continuous Glucose Monitoring Pilot Implementation Project

This real-time data help patients and clinicians to make decisions about identifying appropriate drugs for intervention and adjusting drug therapy. The patient can also make changes in lifestyle or dietary choices based on monitoring information. These interventions by clinician and patient can lead to better diabetes management [14-16]. Evidence suggests that an underserved population could benefit from digital technologies like CGM.

Madhur Thakur, Eric W Maurer, Kim Ngan Tran, Anthony Tholkes, Sripriya Rajamani, Roli Dwivedi

JMIR Diabetes 2025;10:e68324

Addressing the “Black Hole” of Low Back Pain Care With Clinical Decision Support: User-Centered Design and Initial Usability Study

Addressing the “Black Hole” of Low Back Pain Care With Clinical Decision Support: User-Centered Design and Initial Usability Study

This feature enables clinicians to confirm data accuracy and determine whether the interview and examination data align with the overall clinical presentation. The ability to remove or reject working diagnoses for which there is little evidence in favor of others supported by stronger evidence can assist in prioritizing care.

Robert S Rudin, Patricia M Herman, Robert Vining

JMIR Form Res 2025;9:e66666

Identifying Preferred Features of Influenza Vaccination Programs Among Chinese Clinicians Practicing Traditional Chinese Medicine and Western Medicine: Discrete Choice Experiment

Identifying Preferred Features of Influenza Vaccination Programs Among Chinese Clinicians Practicing Traditional Chinese Medicine and Western Medicine: Discrete Choice Experiment

For example, workplaces did not require or encourage clinicians to get vaccinated before the flu season. Most importantly, previous studies have primarily treated Chinese clinicians as practitioners of modern medicine, overlooking the significant presence of clinicians practicing traditional Chinese medicine (TCM) in China [7,10].

Liuren Zhang, Linchen Chu, Maria E Sundaram, Yi Zhou, Xiu Sun, Zheng Wei, Chuanxi Fu

JMIR Public Health Surveill 2025;11:e63314

Spread and Scale of the Integrated Nutrition Pathway for Acute Care Across Canada: Protocol for the Advancing Malnutrition Care Program

Spread and Scale of the Integrated Nutrition Pathway for Acute Care Across Canada: Protocol for the Advancing Malnutrition Care Program

Specifically, the evidence-informed and consensus-based Integrated Nutrition Pathway for Acute Care (INPAC) was developed to support clinicians with addressing nutrition-related gaps in care [21].

Katherine L Ford, Celia Laur, Rupinder Dhaliwal, Roseann Nasser, Leah Gramlich, Johane P Allard, Heather Keller, AMC Core Team

JMIR Res Protoc 2024;13:e62764