e.g. mhealth
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Skip search results from other journals and go to results- 47 Journal of Medical Internet Research
- 20 JMIR Formative Research
- 19 JMIR Human Factors
- 13 JMIR mHealth and uHealth
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In the context of e-learning, implementation outcomes include the acceptability, adoption, appropriateness, feasibility, fidelity, and sustainability of e-learning resources in teaching and learning [8]. When e-learning objects are released as open content, reach and discoverability become important.
To date, several models have been used to evaluate the effectiveness and implementation of e-learning resources.
JMIR Med Educ 2025;11:e63882
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Managerial Challenges in Digital Health: Bibliometric and Network Analysis
Through content analysis, we were able to label cluster 1 as “user adoption and engagement in m Health.” Cluster 1 also examined the adoption of m Health services in low-income countries, specifically India and Bangladesh. Cluster 1 explored emotional bonding with m Health apps, gamification, and cross-country analysis of adoption patterns.
J Med Internet Res 2025;27:e57980
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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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