e.g. mhealth
Search Results (1 to 10 of 95 Results)
Download search results: CSV END BibTex RIS
Skip search results from other journals and go to results- 33 Journal of Medical Internet Research
- 14 JMIR Formative Research
- 12 JMIR Human Factors
- 7 JMIR Medical Informatics
- 7 JMIR mHealth and uHealth
- 4 JMIR Medical Education
- 4 JMIR Research Protocols
- 3 JMIR AI
- 2 Interactive Journal of Medical Research
- 2 JMIR Cancer
- 2 JMIR Mental Health
- 2 JMIR Public Health and Surveillance
- 1 JMIR Cardio
- 1 JMIR Pediatrics and Parenting
- 1 Online Journal of Public Health Informatics
- 0 Medicine 2.0
- 0 iProceedings
- 0 JMIR Serious Games
- 0 JMIR Rehabilitation and Assistive Technologies
- 0 JMIR Preprints
- 0 JMIR Bioinformatics and Biotechnology
- 0 JMIR Challenges
- 0 JMIR Diabetes
- 0 JMIR Biomedical Engineering
- 0 JMIR Data
- 0 Journal of Participatory Medicine
- 0 JMIR Dermatology
- 0 JMIR Aging
- 0 JMIR Perioperative Medicine
- 0 JMIR Nursing
- 0 JMIRx Med
- 0 JMIRx Bio
- 0 JMIR Infodemiology
- 0 Transfer Hub (manuscript eXchange)
- 0 JMIR Neurotechnology
- 0 Asian/Pacific Island Nursing Journal
- 0 JMIR XR and Spatial Computing (JMXR)

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.
JMIR Mhealth Uhealth 2025;13:e56666
Download Citation: END BibTex RIS

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].
JMIR Form Res 2025;9:e64266
Download Citation: END BibTex RIS

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.
JMIR Hum Factors 2025;12:e52544
Download Citation: END BibTex RIS

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.
JMIR Form Res 2025;9:e60465
Download Citation: END BibTex RIS

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.
JMIR Ment Health 2025;12:e64414
Download Citation: END BibTex RIS

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].
JMIR Med Inform 2025;13:e64722
Download Citation: END BibTex RIS

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].
Online J Public Health Inform 2025;17:e63560
Download Citation: END BibTex RIS

The triage (level/urgency of care to seek) and diagnostic accuracy of the GPT-3 model were recently compared with 5000 lay individuals using the internet and 21 practicing primary care physicians [4]. The triage ability of GPT-3 was significantly inferior to that of physicians, having similar accuracy to lay individuals. The diagnostic ability was close to but below that of physicians [4]. It is uncertain whether more recent frontier LLMs are still inferior to physicians on this benchmark.
J Med Internet Res 2024;26:e67409
Download Citation: END BibTex RIS

The majority of physicians (153/185, 82.7%) were men, and their average age was 30.3 (3.9) years. Overall, physicians had been in their current roles an average of 3.0 (2.2) years and had worked at their current hospital for an average of 2.0 (1.8) years.
Interact J Med Res 2024;13:e57285
Download Citation: END BibTex RIS

Although SERUMS allows newly graduated physicians their first work experience in a primary care setting, participation in this service raises several challenges for these professionals, such as limited logistical and human resources in rural health facilities [3] and physicians’ lack of knowledge about the sociocultural factors [4] of the population they serve [5,6].
JMIR Form Res 2024;8:e54005
Download Citation: END BibTex RIS