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Comparison of ChatGPT and Internet Research for Clinical Research and Decision-Making in Occupational Medicine: Randomized Controlled Trial

Comparison of ChatGPT and Internet Research for Clinical Research and Decision-Making in Occupational Medicine: Randomized Controlled Trial

However, particularly nonoccupational physicians are frequently uncertain as to whether the clinical presentation of patients and their occupational history justify the reporting of an occupational disease. Furthermore, the results of an internet search are often inconclusive, particularly with regard to German occupational disease law.

Felix A Weuthen, Nelly Otte, Hanif Krabbe, Thomas Kraus, Julia Krabbe

JMIR Form Res 2025;9:e63857

Global Health care Professionals’ Perceptions of Large Language Model Use In Practice: Cross-Sectional Survey Study

Global Health care Professionals’ Perceptions of Large Language Model Use In Practice: Cross-Sectional Survey Study

We surveyed a diverse group of health care professionals—including physicians, nurses, researchers, and educators—from multiple countries and practice settings. Using a cross-sectional survey design, we collected data on their familiarity with Chat GPT, how and why they used it, and their concerns about its integration.

Ecem Ozkan, Aysun Tekin, Mahmut Can Ozkan, Daniel Cabrera, Alexander Niven, Yue Dong

JMIR Med Educ 2025;11:e58801

Telesimulation in Medical Education for High-Acuity Low-Occurrence Procedures and Clinical Encounters for Physicians and Medical Trainees in Emergency Medicine: Protocol for a Systematic Review

Telesimulation in Medical Education for High-Acuity Low-Occurrence Procedures and Clinical Encounters for Physicians and Medical Trainees in Emergency Medicine: Protocol for a Systematic Review

Increasingly, educators are turning to simulation-based medical education (SBME) to provide physicians and medical trainees with learning opportunities for HALO procedures and clinical encounters [2-4]. SBME has been defined as any educational activity that uses simulative aids to replicate clinical scenarios [5].

Kurtis W Thornhill, Jennifer Jewer, Queen Jacques, Michael H Parsons

JMIR Res Protoc 2025;14:e53565

Insights Into How mHealth Applications Could Be Introduced Into Standard Hypertension Care in Germany: Qualitative Study With German Cardiologists and General Practitioners

Insights Into How mHealth Applications Could Be Introduced Into Standard Hypertension Care in Germany: Qualitative Study With German Cardiologists and General Practitioners

Physicians emphasize that younger physicians who have grown up in an era of digital innovation are often more open to the use of modern technology in medical practice. Unlike the older generations, who may be more familiar with traditional methods of patient monitoring, young physicians already have an affinity for digital health solutions. Digital natives recognize the potential of m Health apps as efficient technologies for improving patient care.

Susann May, Frances Seifert, Dunja Bruch, Martin Heinze, Sebastian Spethmann, Felix Muehlensiepen

JMIR Mhealth Uhealth 2025;13:e56666

Perceived Trust and Professional Identity Threat in AI-Based Clinical Decision Support Systems: Scenario-Based Experimental Study on AI Process Design Features

Perceived Trust and Professional Identity Threat in AI-Based Clinical Decision Support Systems: Scenario-Based Experimental Study on AI Process Design Features

Trust is a crucial prerequisite for physicians in adopting AI [22], as AI is perceived as risky due to the complexity and unpredictability of its behavior [11]. Thus, the formation of trust in an AI-based system among physicians is influenced by the AI system’s representation and tangibility, that is how the underlying rationale of AI tools’ decision outcomes are presented to the user [12].

Sophia Ackerhans, Kai Wehkamp, Rainer Petzina, Daniel Dumitrescu, Carsten Schultz

JMIR Form Res 2025;9:e64266

Benefits and Barriers to mHealth in Hypertension Care: Qualitative Study With German Health Care Professionals

Benefits and Barriers to mHealth in Hypertension Care: Qualitative Study With German Health Care Professionals

However, half of the physicians have to struggle with technical problems at least once a week, compared to 36% in 2020. Overall, frustration with the digitization process has increased [12]. While there is a wealth of research focusing on the patient perspective regarding digital health tools [13-15], there remains a lack of comprehensive evidence on how physicians perceive and integrate these technologies into their clinical practice.

Susann May, Felix Muehlensiepen, Eileen Wengemuth, Frances Seifert, Martin Heinze, Dunja Bruch, Sebastian Spethmann

JMIR Hum Factors 2025;12:e52544

Assessment of the Sensitivity of a Smartphone App to Assist Patients in the Identification of Stroke and Myocardial Infarction: Cross-Sectional Study

Assessment of the Sensitivity of a Smartphone App to Assist Patients in the Identification of Stroke and Myocardial Infarction: Cross-Sectional Study

We observed a significant correlation between the ECHAS score and the Appropriateness Scale Score, with a Spearman correlation coefficient 0.41 (P The agreement of ECHAS scores with the ground truth, as adjudicated by 2 independent physicians, is presented in Table 3. This 2×2 table shows that the physicians adjudicated the cases had 97% agreement, suggesting low interobserver variability.

Amar Dhand, Rama Mangipudi, Anubodh S Varshney, Jonathan R Crowe, Andria L Ford, Nancy K Sweitzer, Min Shin, Samuel Tate, Haissam Haddad, Michael E Kelly, James Muller, Jay S Shavadia

JMIR Form Res 2025;9:e60465

Physician Perspectives on the Potential Benefits and Risks of Applying Artificial Intelligence in Psychiatric Medicine: Qualitative Study

Physician Perspectives on the Potential Benefits and Risks of Applying Artificial Intelligence in Psychiatric Medicine: Qualitative Study

This study aims to advance the understanding of AI tools in psychiatric care by leveraging in-depth interviews to uncover the nuanced ways frontline physicians perceive and anticipate impacts of AI in their clinical practice. Physicians were recruited from a single health care system in the Upper Midwest of the United States.

Austin M Stroud, Susan H Curtis, Isabel B Weir, Jeremiah J Stout, Barbara A Barry, William V Bobo, Arjun P Athreya, Richard R Sharp

JMIR Ment Health 2025;12:e64414

Electronic Health Record Use Patterns Among Well-Being Survey Responders and Nonresponders: Longitudinal Observational Study

Electronic Health Record Use Patterns Among Well-Being Survey Responders and Nonresponders: Longitudinal Observational Study

Symptoms of burnout among physicians have risen sharply in recent years [1], but burnout symptoms and other markers of physician well-being are currently identified by voluntary responses to surveys [2]. Such intermittent surveys often have low response rates and carry the risk of response bias, as physicians with burnout or other symptoms of poor well-being may have systematically different likelihood of responding [3].

Daniel Tawfik, Tait D Shanafelt, Mohsen Bayati, Jochen Profit

JMIR Med Inform 2025;13:e64722

Quantifying Patient Demand for Orthopedics Care by Region Through Google Trends Analysis: Descriptive Epidemiology Study

Quantifying Patient Demand for Orthopedics Care by Region Through Google Trends Analysis: Descriptive Epidemiology Study

As a region with a smaller concentration of metropolitan areas, finding that this market was saturated was particularly intriguing due to the well-documented trend of physicians preferring to practice in more urban regions. For example, in a systematic literature review, Cyr et al [8] concluded that specialists gravitate toward urbanized areas with more potential patients to support their practice. Our approach has been validated by Ikpeze et al [9], Blau et al [10], and Akosman et al [11].

Abram Qiu, Kristopher Meadows, Fei Ye, Osasu Iyawe, Kenneth Kenneth-Nwosa

Online J Public Health Inform 2025;17:e63560