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Assessing the Impact on Electronic Health Record Burden After Five Years of Physician Engagement in a Canadian Mental Health Organization: Mixed-Methods Study

Assessing the Impact on Electronic Health Record Burden After Five Years of Physician Engagement in a Canadian Mental Health Organization: Mixed-Methods Study

Overall, this study focuses on evaluating physician burnout related to EHR usage and the impact of a physician engagement strategy at a Canadian mental health organization 5 years post-implementation. The physician engagement strategy [17] was developed in 2018 through feedback from an organizational benchmark survey, which was conducted to understand the contributors of EHR-related burden and burnout rate among physicians across a large Canadian academic hospital [18].

Tania Tajirian, Brian Lo, Gillian Strudwick, Adam Tasca, Emily Kendell, Brittany Poynter, Sanjeev Kumar, Po-Yen (Brian) Chang, Candice Kung, Debbie Schachter, Gwyneth Zai, Michael Kiang, Tamara Hoppe, Sara Ling, Uzma Haider, Kavini Rabel, Noelle Coombe, Damian Jankowicz, Sanjeev Sockalingam

JMIR Hum Factors 2025;12:e65656

Evaluating Clinical Outcomes and Physician Adoption of Telemedicine for Chronic Disease Management: Population-Based Retrospective Cohort Study

Evaluating Clinical Outcomes and Physician Adoption of Telemedicine for Chronic Disease Management: Population-Based Retrospective Cohort Study

The baseline covariates included in the models were demographic characteristics (age, sex, ethnicity, socioeconomic score, and Charlson Comorbidity Index [CCI]), physician characteristics (age, sex, career status, and distance from hospital), medical field, chronic disease monitoring measurements, and COVID-19–related behaviors (annual primary physician visits, COVID-19 vaccinations, and infections). Data on physicians' technology orientation were unavailable and therefore not included in the modeling.

Ido Peles, Lena Novack, Shosh Peleg, Eran Levanon, Michal Gordon, Mariya Abayev, Victor Novack, Shlomi Codish

J Med Internet Res 2025;27:e66499

Expectations of Intensive Care Physicians Regarding an AI-Based Decision Support System for Weaning From Continuous Renal Replacement Therapy: Predevelopment Survey Study

Expectations of Intensive Care Physicians Regarding an AI-Based Decision Support System for Weaning From Continuous Renal Replacement Therapy: Predevelopment Survey Study

While a significant proportion of respondents reported limited familiarity with AI, suggesting some mitigation of this bias, the possibility remains that the survey sample was not representative of the entire ICU physician population in France. Low response rates are a common challenge in survey-based research targeting healthcare professionals, who often face significant time constraints.

Benjamin Popoff, Sandie Cabon, Marc Cuggia, Guillaume Bouzillé, Thomas Clavier

JMIR Med Inform 2025;13:e63709

Use of Video Consultation Between 2017 and 2020 in Outpatient Medical Care in Germany and Characteristics of Their User Groups: Analysis of Claims Data

Use of Video Consultation Between 2017 and 2020 in Outpatient Medical Care in Germany and Characteristics of Their User Groups: Analysis of Claims Data

In the second quarter of 2019, these restrictions were mostly abolished, and the assessment of the appropriateness of a diagnosis or treatment via video consultation was the responsibility of the respective physician. The remuneration for video consultations in outpatient medical care within the German SHI system is primarily based on age-differentiated quarterly flat rates.

Theresa Hüer, Anke Walendzik, Lara Kleinschmidt, Klemens Höfer, Beatrice Nauendorf, Juliane Malsch, Matthias Brittner, Paul Brandenburg, André Aeustergerling, Udo Schneider, Anja Wadeck, Sebastian Liersch, Stephanie Sehlen, Katharina Schwarze, Jürgen Wasem

JMIR Form Res 2025;9:e60170

Studying the Potential Effects of Artificial Intelligence on Physician Autonomy: Scoping Review

Studying the Potential Effects of Artificial Intelligence on Physician Autonomy: Scoping Review

Physician autonomy has been found to play a role in physician acceptance and adoption of medical technologies [3], and in particular, AI [1]. Although physician autonomy has become an increasingly important concept in recent decades [4-7], there is still no consensus definition in the literature. However, physician autonomy is generally seen as including both clinical freedoms, as well as social and economic freedoms [6,7].

John Grosser, Juliane Düvel, Lena Hasemann, Emilia Schneider, Wolfgang Greiner

JMIR AI 2025;4:e59295

Digital Mindfulness Training for Burnout Reduction in Physicians: Clinician-Driven Approach

Digital Mindfulness Training for Burnout Reduction in Physicians: Clinician-Driven Approach

An estimation of the direct costs of physician turnover and reduced clinical work is approximately US $4.6 billion each year in the United States [15]. Meta-analyses found that physician burnout is also associated with increased risk of patient safety incidents and malpractice claims, poorer quality due to low professionalism, and diminished and ineffective communication between physicians and patients [16,17].

Lia Antico, Judson Brewer

JMIR Form Res 2025;9:e63197

Comparisons of Physicians’, Nurses’, and Social Welfare Professionals’ Experiences With Participation in Information System Development: Cross-Sectional Survey Study

Comparisons of Physicians’, Nurses’, and Social Welfare Professionals’ Experiences With Participation in Information System Development: Cross-Sectional Survey Study

The statements were originally created and piloted for the national physician survey in 2010 [4,5], and the same statements have been used in later surveys for physicians [1], for RNs [8,49], and SWPs [6]. The survey method and the questionnaire have been described in detail previously [4,5,48]. Questionnaire statements.

Susanna Martikainen, Johanna Viitanen, Samuel Salovaara, Ulla-Mari Kinnunen, Tinja Lääveri

JMIR Hum Factors 2025;12:e51495

Medical Marijuana Documentation Practices in Patient Electronic Health Records: Retrospective Observational Study Using Smart Data Elements and a Review of Medical Records

Medical Marijuana Documentation Practices in Patient Electronic Health Records: Retrospective Observational Study Using Smart Data Elements and a Review of Medical Records

In Pennsylvania, MMJ is not currently “prescribed”—rather, a physician with appropriate privileges must certify that a given patient has 1 of 24 serious medical conditions [3,4]. This certification can then be used to register and obtain an MMJ card for use at dispensaries, where a health care provider (typically a pharmacist) is available for consultation or advisement and a patient care specialist assists with product selection for a given symptom or diagnosis [5].

Donielle Beiler, Aanya Chopra, Christina M Gregor, Lorraine D Tusing, Apoorva M Pradhan, Katrina M Romagnoli, Chadd K Kraus, Brian J Piper, Eric A Wright, Vanessa Troiani

JMIR Form Res 2024;8:e65957