Like many other aspects of hematology-oncology training, medical education experienced rapid changes throughout the COVID-19 pandemic that continue until today. We discuss some of the most transformative areas within medical education, including, but not limited to, educational philosophy; use of virtual resources; inter-institutional connections, shifts in clinical training; changes in recruitment practice; and attention to equity and diversity. Moreover, we add our own experiences to complement the limited literature addressing these topics. We conclude by highlighting some of the benefits of this unprecedented transformation in democratizing medical education that we hope endure beyond the pandemic.
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http://dx.doi.org/10.1080/07357907.2023.2230495 | DOI Listing |
JMIR Pediatr Parent
January 2025
School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin 4, Ireland.
Background: Preteen girls of lower socioeconomic position are at increased risk of physical inactivity. Parental support, particularly from mothers, is positively correlated with girls' physical activity levels. Consequently, family-based interventions are recognized as a promising approach to improve young people's physical activity.
View Article and Find Full Text PDFChaos
January 2025
School of Public Health, Chongqing Medical University, Chongqing 400016, China.
The impact of resource allocation on the dynamics of epidemic spreading is an important topic. In real-life scenarios, individuals usually prioritize their own safety, and this self-protection consciousness will lead to delays in resource allocation. However, there is a lack of systematic research on the impact of resource allocation delay on epidemic spreading.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Department of Biomedical Informatics, School of Medicine, Emory University, Atlanta, GA, United States.
Background: The increasing use of social media to share lived and living experiences of substance use presents a unique opportunity to obtain information on side effects, use patterns, and opinions on novel psychoactive substances. However, due to the large volume of data, obtaining useful insights through natural language processing technologies such as large language models is challenging.
Objective: This paper aims to develop a retrieval-augmented generation (RAG) architecture for medical question answering pertaining to clinicians' queries on emerging issues associated with health-related topics, using user-generated medical information on social media.
JMIR Aging
January 2025
Department of Computing, Faculty of Computer and Mathematical Sciences, Hong Kong Polytechnic University, Hung Hom, China (Hong Kong).
Background: Providing ongoing support to the increasing number of caregivers as their needs change in the long-term course of dementia is a severe challenge to any health care system. Conversational artificial intelligence (AI) operating 24/7 may help to tackle this problem.
Objective: This study describes the development of a generative AI chatbot-the PDC30 Chatbot-and evaluates its acceptability in a mixed methods study.
J Med Internet Res
January 2025
Center for Health Services Research, Faculty of Health Sciences Brandenburg, Brandenburg Medical School Theodor Fontane, Rüdersdorf bei Berlin, Germany.
Background: In recent years, health care has undergone a rapid and unprecedented digital transformation. In many fields of specialty care, such as rheumatology, this shift is driven by the growing number of patients and limited resources, leading to increased use of digital health technologies (DHTs) to maintain high-quality clinical care. Previous studies examined user acceptance of individual DHTs in rheumatology, such as telemedicine, video consultations, and mHealth.
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