e.g. mhealth
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Skip search results from other journals and go to results- 46 Journal of Medical Internet Research
- 20 JMIR Formative Research
- 19 JMIR Human Factors
- 13 JMIR mHealth and uHealth
- 10 JMIR Research Protocols
- 8 JMIR Medical Informatics
- 7 JMIR AI
- 7 JMIR Aging
- 4 JMIR Public Health and Surveillance
- 4 JMIRx Med
- 3 Interactive Journal of Medical Research
- 2 JMIR Diabetes
- 2 JMIR Medical Education
- 2 JMIR Nursing
- 1 Iproceedings
- 1 JMIR Dermatology
- 1 JMIR Mental Health
- 1 JMIR Pediatrics and Parenting
- 1 JMIR Perioperative Medicine
- 1 JMIR Rehabilitation and Assistive Technologies
- 1 JMIR Serious Games
- 1 Online Journal of Public Health Informatics
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- 0 JMIR Cardio
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The study revealed a high level of conformity in perspectives between physicians and patients regarding the adoption and future use of digital health tools and telemedicine. Both groups showed parallel levels of adoption for electronic appointment systems and similar historical use patterns of telemedicine offerings. It yielded a comparable evaluation of the future importance of digital health, with no significant differences observed in their responses.
JMIR Hum Factors 2025;12:e60779
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Our scenario analysis explored the potential adoption of 3 mobile apps using the base MNL model. The basic app featured the most rudimentary levels for all attributes. The second scenario depicted a mobile app currently used to enhance cardiac rehabilitation in specific private cardiac clinics in Queensland, Australia [51].
JMIR Mhealth Uhealth 2025;13:e58556
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Factors Determining Acceptance of Internet of Things in Medical Education: Mixed Methods Study
Recent studies have used qualitative and quantitative methods to examine the uptake of Io T and have identified favorable attitudes, ease of use, contentment, affordability, basic knowledge, security, and privacy as crucial factors that influence its adoption.
JMIR Hum Factors 2025;12:e58377
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Technology-based studies for perinatal care in Nigeria have been implemented to increase pregnant women’s access to care, but several knowledge gaps exist on factors that influence the use and adoption of m Health in adolescent mothers [8,9]. Addressing these gaps is crucial for increasing access in a vulnerable population.
JMIR Form Res 2025;9:e42406
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The AI Reviewer: Evaluating AI’s Role in Citation Screening for Streamlined Systematic Reviews
adoption
JMIR Form Res 2025;9:e58366
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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].
JMIR AI 2025;4:e59295
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Especially in the early adoption phases, users should be supported in familiarizing themselves with the tools and integrating them into their work routines. Potential solutions could include more built-in guidance functions in the tool or establishing additional structures (eg, service centers) that can provide direct user support.
Furthermore, our findings emphasize that self-monitoring demands a lot of clients, and can be difficult and burdensome for people with mental health problems.
JMIR Hum Factors 2025;12:e60096
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Thus, we aim to understand these professionals’ perspectives on AI adoption, emphasizing the development of trust and integration strategies and identifying approaches that position AI as a valuable tool complementing human expertise, not replacing it [10]. Consequently, the central research question we propose is as follows: How can AI be effectively integrated into practice in a way that ensures health care professionals’ acceptance and trust in its advice?
JMIR Hum Factors 2025;12:e59010
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Previous studies have highlighted substantial barriers to the successful adoption of AI in health care, including issues related to trust; potential risks of harm; accuracy and perceived usefulness; reproducibility; evidentiary standards; and ethical, legal, and societal concerns [7,8]. In addition, uncertainty surrounding postadoption outcomes further complicates the implementation process [7].
J Med Internet Res 2025;27:e67485
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Existing literature suggests that design quality can significantly influence staff adoption and implementation of the technologies [21]. The traditional TAM component of “Perceived Ease of Use” was not fully applicable in this context, as our primary aim was to compare the perceptions of patients and staff regarding their user experiences and perceptions of the PDIS.
JMIR Aging 2025;8:e60506
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