数字技术能否彻底改变糖尿病护理中的持续教育?

IF 4.1 Q2 ENDOCRINOLOGY & METABOLISM Journal of Diabetes Science and Technology Pub Date : 2024-11-13 DOI:10.1177/19322968241298000
Nadia Ait-Aissa
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引用次数: 0

摘要

人工智能、可穿戴技术和远程监控的远程医疗等技术的快速发展正在改变医疗保健提供者(HCP)在糖尿病管理方面的继续教育。这些技术在改善患者护理的同时,也要求采用创新的教育方法,帮助医护人员为临床整合做好准备。数字教育提供了实时、可扩展和具有成本效益的解决方案,尤其是在医疗保健人员短缺的地区。然而,数字化教育对医疗保健人员的知识、技能、态度和患者治疗效果的影响仍未得到充分研究,因此有必要进行进一步研究。随着技术的进步,实现糖尿病持续教育的精确性变得可行。2024 年美国糖尿病协会护理标准》强调尽早采用先进技术,并提高主治医师的熟练程度。本评论探讨了变革趋势,讨论了局限性并提出了解决方案,以彻底改变糖尿病护理中的持续教育。
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Can Digital Technology Revolutionize Continuous Education in Diabetes Care?

Rapid technological advancements, such as artificial intelligence, wearable technologies, and telehealth with remote monitoring, are transforming continuous education for health care providers (HCPs) in diabetes management. These technologies improve patient care and necessitate innovative educational approaches to prepare HCPs for clinical integration. Digital education offers real-time, scalable, and cost-effective solutions, especially in areas with health care workforce shortages. However, the effect of digital education on HCPs' knowledge, skills, attitudes, and patient outcomes remains under-researched and necessitates further study. As technologies advance, achieving precision in diabetes continuous education becomes feasible. The 2024 ADA Standards of Care emphasize early adoption of advanced technologies and proficiency among HCPs. This commentary explores transformative trends, discussing limitations and proposing solutions to revolutionize continuous education in diabetes care.

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来源期刊
Journal of Diabetes Science and Technology
Journal of Diabetes Science and Technology Medicine-Internal Medicine
CiteScore
7.50
自引率
12.00%
发文量
148
期刊介绍: The Journal of Diabetes Science and Technology (JDST) is a bi-monthly, peer-reviewed scientific journal published by the Diabetes Technology Society. JDST covers scientific and clinical aspects of diabetes technology including glucose monitoring, insulin and metabolic peptide delivery, the artificial pancreas, digital health, precision medicine, social media, cybersecurity, software for modeling, physiologic monitoring, technology for managing obesity, and diagnostic tests of glycation. The journal also covers the development and use of mobile applications and wireless communication, as well as bioengineered tools such as MEMS, new biomaterials, and nanotechnology to develop new sensors. Articles in JDST cover both basic research and clinical applications of technologies being developed to help people with diabetes.
期刊最新文献
Artificial Intelligence to Diagnose Complications of Diabetes. Is Continuous Glucose Monitoring Feasible in Tribal India? Navigating the Benefits and Overcoming the Challenges. Continuous Glucose Monitoring-Derived Glycemic Phenotyping of Childhood Hypoglycemia due to Hyperinsulinism: A Year-long Prospective Nationwide Observational Study. Diabetes Technology Use in Special Populations: A Narrative Review of Psychosocial Factors. Addressing Inequity in Continuous Glucose Monitoring Access: Leveraging the Hospital in the Continuum of Care.
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