e.g. mhealth
Search Results (1 to 10 of 15728 Results)
Download search results: CSV END BibTex RIS
Skip search results from other journals and go to results- 4843 Journal of Medical Internet Research
- 1830 JMIR Research Protocols
- 1795 JMIR Formative Research
- 1114 JMIR mHealth and uHealth
- 1076 JMIR Medical Informatics
- 607 JMIR Mental Health
- 579 JMIR Medical Education
- 543 JMIR Human Factors
- 539 JMIR Serious Games
- 509 JMIR Public Health and Surveillance
- 333 JMIR Aging
- 259 JMIR Pediatrics and Parenting
- 201 Interactive Journal of Medical Research
- 173 JMIR Cancer
- 162 JMIR Rehabilitation and Assistive Technologies
- 153 JMIR AI
- 137 JMIR Diabetes
- 131 JMIRx Med
- 120 JMIR Infodemiology
- 106 JMIR Cardio
- 89 JMIR Nursing
- 72 JMIR Dermatology
- 63 JMIR Biomedical Engineering
- 61 Journal of Participatory Medicine
- 49 JMIR Perioperative Medicine
- 38 Iproceedings
- 34 JMIR Bioinformatics and Biotechnology
- 34 Online Journal of Public Health Informatics
- 23 JMIR Neurotechnology
- 20 JMIR XR and Spatial Computing (JMXR)
- 17 Asian/Pacific Island Nursing Journal
- 13 Medicine 2.0
- 3 JMIRx Bio
- 1 JMIR Data
- 1 JMIR XR and Spatial Computing
- 0 iProceedings
- 0 JMIR Preprints
- 0 JMIR Challenges
- 0 Transfer Hub (manuscript eXchange)
People discussed learning about diabetes management from friends and family who were also living with T2 D or who had medical training:
My parents were diabetic, and my father actually went blind through the diabetic neuropathy and macular degeneration...I’ve seen that. So obviously I am not going to jeopardise my eyesight...So, I’m particular about it.
J Med Internet Res 2025;27:e70203
Download Citation: END BibTex RIS
These challenges include timeliness, accuracy, and coverage of knowledge, as well as the need for interactive learning and personalized responses [41]. Our research organized precise, in-depth medical knowledge into question-answer pairs and used embedding API to convert textual and tabular knowledge into vectors, encoding semantic information from the text or tables to match with question vectors.
J Med Internet Res 2025;27:e67201
Download Citation: END BibTex RIS
Some HCPs reported learning about documenting PAEHRs at their previous work or during their education. One HCP also recognized similarities to another implemented initiative called SVF (standardized care process), where HCPs must document findings quickly.
A few HCPs expressed perceived shortcomings with the health care system, including a lack of reimbursement, misprioritization, and unnecessary care processes.
JMIR Med Inform 2025;13:e64982
Download Citation: END BibTex RIS
Reference 31: Social learning theory and the health belief model
JMIR Res Protoc 2025;14:e67254
Download Citation: END BibTex RIS
It consists of a glove and monitor providing visual feedback, with its key innovation being precise control of sequential finger movements to enhance the learning process [19]. Gloreha was selected for this review due to its unique ability to provide precise, individualized, finger-by-finger training and integrated visual feedback, features that are particularly important for restoring fine motor skills in survivors of stroke [19].
JMIR Rehabil Assist Technol 2025;12:e68268
Download Citation: END BibTex RIS
The training program is called Patient-Oriented Research Training & Learning-Primary Health Care (PORTL-PHC) and is hosted on The University of Western Ontario’s (UWO) Learning Management Platform called OWL. The goal of PORTL-PHC was to build capacity among patients, health care providers, policy makers or managers, researchers and trainees to conduct and use patient-oriented primary health care research.
J Particip Med 2025;17:e65485
Download Citation: END BibTex RIS
This method has exhibited superior effectiveness and reliability compared to traditional machine learning models across multiple public datasets [72-74]. However, significant challenges persist. Privacy and security concerns are particularly pressing, especially regarding the potential for data breaches during personal data interactions [71]. Addressing these concerns necessitates multifaceted approaches, including blockchain technology, end-to-end encryption, and advanced privacy protocols [75].
J Med Internet Res 2025;27:e72636
Download Citation: END BibTex RIS
In general, learning in medical school includes 2 types of knowledge: factual and procedural knowledge. Mann comprehensive analysis [5] underscores that sociocultural learning theories, rooted in the work of Vygotsky [6], present a valuable theoretical framework for shaping future medical education.
JMIR Form Res 2025;9:e50912
Download Citation: END BibTex RIS
Implementing the H&P 360 in Three Medical Institutions: Usability Study
Structuration Theory posits that social practice both shapes and is shaped by the structures, such as learning templates, within which it occurs [20]. Cognitive Load Theory, meanwhile, asserts that cognitive capacity is limited and that learning is enhanced when key information is presented in manageable blocks, such as the 7 domains [21].
JMIR Med Educ 2025;11:e66221
Download Citation: END BibTex RIS
Machine learning can process vast amounts of information to identify hidden patterns and replicate clinical thought processes. AI and machine learning are increasingly used in fields such as pathology, radiology, and gastroenterology [41,42]. The advent of chatbots, such as Chat GPT, Gemini, and Claude, built on large language models, has profoundly changed how we search for and interact with information, including health information.
J Particip Med 2025;17:e68911
Download Citation: END BibTex RIS