The present article is the second in a series of Background Papers prepared as part of the AAMC's Medical School Objectives Project (MSOP). This report provides information about and insight into U.S. medical schools' use of educational technology in 1998. The authors define educational technology as the use of information technology to facilitate students' learning. They note that in the last two decades, a number of reports have recommended that medical schools incorporate educational technology into their teaching programs. To gain insight into the effects of these recommendations, particularly those of the ACME-TRI Report in 1992, the authors analyzed the responses of administrators at 125 U.S. medical schools to relevant items of the 1997-98 Liaison Committee on Medical Education Part II Medical School Questionnaire and students' responses to relevant items of the 1998 AAMC Medical Student Graduation Questionnaire. In addition, site visits were made to six medical schools believed to be among the more advanced ones in the use of educational technology, to see what was happening on the "cutting edge" of educational technology applications. Data from 20 other schools were also used. The authors found that by 1998, medical schools as a group had made limited progress in accomplishing the recommended educational technology goals, and that there was a much greater use of such technology in basic sciences courses than in clinical clerkships. However, great variability existed across schools in the use of such technology and in the administrative arrangements for it. They observe that the use of educational technology in medical schools is increasing rapidly, and recommend that each school develop a strategic approach that will guarantee that it can meet the future educational technology needs of its students.
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http://dx.doi.org/10.1097/00001888-199910000-00020 | DOI Listing |
Interact J Med Res
January 2025
Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Background: Incorporating artificial intelligence (AI) into medical education has gained significant attention for its potential to enhance teaching and learning outcomes. However, it lacks a comprehensive study depicting the academic performance and status of AI in the medical education domain.
Objective: This study aims to analyze the social patterns, productive contributors, knowledge structure, and clusters since the 21st century.
JMIR Cancer
January 2025
Department of Medical Oncology, Antoni van Leeuwenhoek, Amsterdam, Netherlands.
Background: Patients with melanoma receiving immunotherapy with immune-checkpoint inhibitors often experience immune-related adverse events, cancer-related fatigue, and emotional distress, affecting health-related quality of life (HRQoL) and clinical outcome to immunotherapy. eHealth tools can aid patients with cancer in addressing issues, such as adverse events and psychosocial well-being, from various perspectives.
Objective: This study aimed to explore the effect of the Cancer Patients Better Life Experience (CAPABLE) system, accessed through a mobile app, on HRQoL compared with a matched historical control group receiving standard care.
Front Med (Lausanne)
January 2025
Health Management Center, The First Affiliated Hospital of Henan University of Science and Technology, Luoyang, China.
Background: Rheumatoid arthritis (RA) is a chronic autoimmune disorder that causes joint inflammation and affects quality of life. Appropriate physical activity can enhance joint function and lower cardiovascular disease risk. However, individuals with RA often have reduced physical activity levels, likely due to kinesiophobia, or fear of movement.
View Article and Find Full Text PDFBull World Health Organ
February 2025
Faculty of Bioethics, Universidad Anahuac México, Mexico City, Mexico.
The rising incidence of noncommunicable diseases, combined with the costs of mitigating climate change, sovereign debt and regional conflicts, is undermining global health security and threatening progress towards achieving the sustainable development goals of the United Nations. The negative impact of these polycrises is disproportionately borne by low- and middle-income countries, which have the highest disease burden and lowest health-care spending. Health digitalization is emerging as a promising countermeasure, accelerated by artificial intelligence (AI) software and quantum computing hardware.
View Article and Find Full Text PDFLancet Reg Health West Pac
February 2025
Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai, China.
Background: To date, comprehensive data on the distribution of chronic kidney disease (CKD), the most prevalent comorbidity in diabetes, among Chinese adults with diabetes is lacking. Additionally, research gaps exist in understanding the association between CKD and cardiovascular health (CVH), an integrated indicator of lifestyle and metabolic control, within a nationwide sample of Chinese adults with diabetes.
Methods: A nationally community-based cross-sectional survey was conducted in 2018-2020.
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