e.g. mhealth
Search Results (1 to 4 of 4 Results)
Download search results: CSV END BibTex RIS
Skip search results from other journals and go to results- 2 Journal of Medical Internet Research
- 1 JMIR Medical Education
- 1 JMIR Medical Informatics
- 0 Medicine 2.0
- 0 Interactive Journal of Medical Research
- 0 iProceedings
- 0 JMIR Research Protocols
- 0 JMIR Human Factors
- 0 JMIR Public Health and Surveillance
- 0 JMIR mHealth and uHealth
- 0 JMIR Serious Games
- 0 JMIR Mental Health
- 0 JMIR Rehabilitation and Assistive Technologies
- 0 JMIR Preprints
- 0 JMIR Bioinformatics and Biotechnology
- 0 JMIR Cancer
- 0 JMIR Challenges
- 0 JMIR Diabetes
- 0 JMIR Biomedical Engineering
- 0 JMIR Data
- 0 JMIR Cardio
- 0 JMIR Formative Research
- 0 Journal of Participatory Medicine
- 0 JMIR Dermatology
- 0 JMIR Pediatrics and Parenting
- 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 AI
- 0 JMIR Neurotechnology
- 0 Asian/Pacific Island Nursing Journal
- 0 Online Journal of Public Health Informatics
- 0 JMIR XR and Spatial Computing (JMXR)
The Use of Telegram in Surgical Education: Exploratory Study
The increased digitalization of medical education, greatly enhanced during the heightened social distancing measures to contain COVID-19, supports further evaluation of the use of Telegram to assist learning in medical schools. Therefore, in this study, a Telegram channel “Telegram Education for Surgery Learning and Application (TESLA)” was developed to support general surgery learning by offering regular access to multiple-choice questions (MCQs).
JMIR Med Educ 2022;8(3):e35983
Download Citation: END BibTex RIS
Notably, one of the most prominent destinations for deplatformed individuals and organizations has been Telegram.
Over the last few years, Telegram has become one of the most prominent instant messaging services. This success is due to a combination of 2 factors: on the one hand, end-to-end encryption [13] and an infrastructure distributed over several jurisdictions [14] makes it rather difficult to extract data from the system [15].
J Med Internet Res 2022;24(2):e34385
Download Citation: END BibTex RIS
The dataset analyzed in our study was collected retrospectively from the Telegram group, “Sputnik_results“ [28]. The data contained no personal information, and the analysis was performed according to the Terms of Service of the platform [29]. Our analysis was completely anonymous and performed in aggregated form. No possible harm to Telegram users was identified. Therefore, the study did not require ethical committee approval.
J Med Internet Res 2021;23(11):e30529
Download Citation: END BibTex RIS
Since its use can be facilitated by linkages with the major social network service messengers (eg, Whats App, Telegram), general users can easily access and receive various health services [9]. Laranjo et al [7] provide an overview of research related to conversational user interfaces in health care.
Previous studies suggest that chatbots may have the potential to contribute to obesity and overweight prevention and management [10].
JMIR Med Inform 2021;9(4):e17503
Download Citation: END BibTex RIS