Enhancing Diabetes Self-management and Education: A Critical Analysis of ChatGPT's Role

ChatGPT, an advanced natural language processing model, holds significant promise in diabetes self-management and education. ChatGPT excels in providing personalized educational experiences by tailoring information to meet individual patient needs and preferences. It aids patients in developing self...

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Veröffentlicht in:Annals of biomedical engineering 2024-04, Vol.52 (4), p.741-744
Hauptverfasser: Zheng, Yue, Wu, Yijun, Feng, Baijie, Wang, Laduona, Kang, Kai, Zhao, Ailin
Format: Artikel
Sprache:eng
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Zusammenfassung:ChatGPT, an advanced natural language processing model, holds significant promise in diabetes self-management and education. ChatGPT excels in providing personalized educational experiences by tailoring information to meet individual patient needs and preferences. It aids patients in developing self-management skills and strategies, fostering proactive disease management. Additionally, ChatGPT addresses healthcare access disparities by enabling patients to access educational resources irrespective of their geographic location or physical limitations. However, it is important to acknowledge and address the deficiencies of ChatGPT, such as its limited medical expertise, contextual understanding, and emotional support capabilities. Strategies for optimizing ChatGPT include regular training and updating, integration of healthcare professionals' expertise, improvement in contextual comprehension, and enhancing emotional support. By addressing these limitations and striking a balance between the benefits and limitations, ChatGPT can play a significant role in empowering patients to better understand and manage diabetes. Further research and development are needed to refine ChatGPT's capabilities and address ethical considerations, but its integration in patient education holds the potential to transform healthcare delivery and create a more informed and engaged patient population.
ISSN:0090-6964
1573-9686
1573-9686
DOI:10.1007/s10439-023-03317-8