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Nurses’ and Nursing Assistants’ Experiences With Teleconsultation in Small Rural Long-Term Care Facilities: Semistructured Interview Pilot Study

Nurses’ and Nursing Assistants’ Experiences With Teleconsultation in Small Rural Long-Term Care Facilities: Semistructured Interview Pilot Study

Nurses ensure a continuous presence for residents, assess their physical and mental condition, develop therapeutic nursing plans (TNPs) to coordinate interventions, and prescribe treatments with the approval of their professional regulatory body, under defined conditions. The OIIQ stresses the importance of nurses’ contribution to CHSLDs, across all shifts, given the residents’ fragility and the growing complexity of clinical situations [9].

Veronique Nabelsi, Marie Chantal Leclerc, Véronique Plouffe

JMIR Aging 2024;7:e65111

Impact of Video-Based Error Correction Learning for Cardiopulmonary Resuscitation Training: Quasi-Experimental Study

Impact of Video-Based Error Correction Learning for Cardiopulmonary Resuscitation Training: Quasi-Experimental Study

Therefore, introducing the VEBC procedure into CPR training performed with video prompting may enhance the residents’ learning efficiency and performance. In this study, we hypothesized that VBEC would improve the CPR skills of anesthesiology residents. This quasi-experimental study was conducted in the Simulation Teaching Center of Hospital among anesthesiology residents between December 2022 and April 2023.

Yun Wang, Junzuo Fu, Shaoping Wang, Huijuan Wang, Wei Gao, Lina Huang

JMIR Serious Games 2024;12:e53577

Creation of an Automated and Comprehensive Resident Progress System for Residents and to Save Hours of Faculty Time: Mixed Methods Study

Creation of an Automated and Comprehensive Resident Progress System for Residents and to Save Hours of Faculty Time: Mixed Methods Study

This system was designed to help residents and residency leadership have a clear view of the educational progress as well as milestones of the residents. In addition, it was designed to provide faculty involved in medical education a place to access all resident data for the ACGME-mandated clinical competency committee (CCC) meetings [7].

Rimma Perotte, Alyssa Berns, Lana Shaker, Chayapol Ophaswongse, Joseph Underwood, Christina Hajicharalambous

JMIR Form Res 2024;8:e53314

Live Streaming of the Professor’s Ward Rounds in Undergraduate Neurology Education: Usability Study

Live Streaming of the Professor’s Ward Rounds in Undergraduate Neurology Education: Usability Study

Only a few students can observe the examination up close since the postgraduate residents occupy the best places, and some students must watch small muscle twitches and pupillary changes in patients from the second and third rows, where it is also difficult to hear the professor’s explanation.

Kenji Sekiguchi, Seiji Kawano, Norio Chihara, Seimi Satomi-Kobayashi, Eiichi Maeda, Riki Matsumoto

JMIR Form Res 2024;8:e50128

User Requirements and Perceptions of a Sensor System for Early Stress Detection in People With Dementia and People With Intellectual Disability: Qualitative Study

User Requirements and Perceptions of a Sensor System for Early Stress Detection in People With Dementia and People With Intellectual Disability: Qualitative Study

Early and effective detection, intervention, and prevention of stress have the potential to reduce the occurrence of challenging behavior [16], which in turn may alleviate the burden on caregivers and improve residents’ quality of life. However, timely detection of stress is often challenging due to communication impairments commonly observed in LTC residents with dementia and residents with ID, limiting their ability to express themselves in ways that are recognizable for their caregivers.

Esmee Adam, Franka Meiland, Noud Frielink, Erwin Meinders, Reon Smits, Petri Embregts, Hanneke Smaling

JMIR Form Res 2024;8:e52248

Hospital Use of a Web-Based Clinical Knowledge Support System and In-Training Examination Performance Among Postgraduate Resident Physicians in Japan: Nationwide Observational Study

Hospital Use of a Web-Based Clinical Knowledge Support System and In-Training Examination Performance Among Postgraduate Resident Physicians in Japan: Nationwide Observational Study

The use of the Yanegawara (“tiled roof” in Japanese) style of education, in which senior doctors teach resident physicians and postgraduate year (PGY)–2 residents teach PGY-1 residents based on EBM using web-based medical resources, such as Up To Date, has also become widespread [15]. The merit of the Yanegawara-style education is the aspect of teaching among residents with close grade levels. Internationally, peer teaching or peer tutor systems have been shown to be effective in medical education [16,17].

Koshi Kataoka, Yuji Nishizaki, Taro Shimizu, Yu Yamamoto, Kiyoshi Shikino, Masanori Nojima, Kazuya Nagasaki, Sho Fukui, Sho Nishiguchi, Kohta Katayama, Masaru Kurihara, Rieko Ueda, Hiroyuki Kobayashi, Yasuharu Tokuda

JMIR Med Educ 2024;10:e52207

Development of a Clinical Simulation Video to Evaluate Multiple Domains of Clinical Competence: Cross-Sectional Study

Development of a Clinical Simulation Video to Evaluate Multiple Domains of Clinical Competence: Cross-Sectional Study

Japan’s medical schools follow a 6-year curriculum comprising 4 years of preclinical and 2 years of clinical education, after which they enter a 2-year postgraduate residency program as “postgraduate residents” or simply “residents” [1-3]. This residency enables new doctors to acquire and practice basic clinical knowledge, problem-solving, general medical and communication skills, and a professional attitude.

Kiyoshi Shikino, Yuji Nishizaki, Sho Fukui, Daiki Yokokawa, Yu Yamamoto, Hiroyuki Kobayashi, Taro Shimizu, Yasuharu Tokuda

JMIR Med Educ 2024;10:e54401

ChatGPT in Medical Education: A Precursor for Automation Bias?

ChatGPT in Medical Education: A Precursor for Automation Bias?

These problems become exacerbated when medical students inadvertently develop automation bias, where they overrely on AI, and continue to have this mentality when they become residents, at which point they have the potential to harm patients if the AI provides an erroneous outcome. In this editorial, I argue the justification for AI education in the medical school curriculum and how the lack of it leads to the problem of automation bias, as well as the other harms from automation bias.

Tina Nguyen

JMIR Med Educ 2024;10:e50174

Exploring Medical Career Choice to Better Inform Swiss Physician Workforce Planning: Protocol for a National Cohort Study

Exploring Medical Career Choice to Better Inform Swiss Physician Workforce Planning: Protocol for a National Cohort Study

These findings provide useful information for targeted interventions to promote obstetrics and gynecology during undergraduate and postgraduate training by providing more hands-on experiences and improving the integration of male students and residents [31]. We also explored the degree of motivation for general practice, surgery, radiology, and psychiatry throughout the preclinical years.

Milena Abbiati, Mathieu R Nendaz, Bernard Cerutti, Monika Brodmann Mäder, Giatgen A Spinas, David Vicente Alvarez, Douglas Teodoro, Georges L Savoldelli, Nadia M Bajwa

JMIR Res Protoc 2024;13:e53138

Using ChatGPT for Clinical Practice and Medical Education: Cross-Sectional Survey of Medical Students’ and Physicians’ Perceptions

Using ChatGPT for Clinical Practice and Medical Education: Cross-Sectional Survey of Medical Students’ and Physicians’ Perceptions

A total of 124 of 185 (67%) medical students, 46 of 78 (59%) interns, 37 of 43 (86%) residents, and 32 of 44 (73%) attending staff responded. The median age of medical students, internists, residents, and attending staff were 23 (IQR 22-24), 25 (IQR 25-26), 29 (IQR 27-31), and 38 (IQR 35-47) years, respectively. Of the 239 respondents, 132 (55%) were female. Female respondents made up 79 of 124 (64%) medical students, 24 of 46 (52%) interns, 16 of 37 (43%) residents, and 13 of 32 (41%) attending staff.

Pasin Tangadulrat, Supinya Sono, Boonsin Tangtrakulwanich

JMIR Med Educ 2023;9:e50658