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

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Abstract

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.

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Acknowledgments

We express our thanks to BioRender.com for creating Fig.1.

Funding

This work was supported by Natural Science Foundation of Sichuan Province (No. 2023NSFSC1885), “from zero to one” Innovation Research Project of Sichuan University (No. 2022SCUH0025), Chengdu Science and Technology Program (No. 2022-YF05-01443-SN), Key Research and Development Program of Sichuan Province (No. 23ZDYF2836), China Postdoctoral Science Foundation (No. 2021M692310), and National Natural Science Foundation of China (No. 82204490).

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Author notes

  1. Yue Zheng and Yijun Wu have contributed equally to this work.

Authors and Affiliations

  1. Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China

    Yue Zheng, Yijun Wu, Laduona Wang & Kai Kang

  2. West China School of Medicine, Sichuan University, Chengdu, 610041, China

    Baijie Feng

  3. Department of Hematology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China

    Ailin Zhao

Authors
  1. Yue Zheng
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  2. Yijun Wu
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  3. Baijie Feng
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  4. Laduona Wang
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  5. Kai Kang
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  6. Ailin Zhao
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Contributions

AZ and KK provided the idea and designed the manuscript. YZ, YW, BF, and LW contributed to the conceptualization, writing original draft, and writing—review and editing. All authors contributed to the article and approved the submitted version.

Corresponding authors

Correspondence to Kai Kang or Ailin Zhao.

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Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Ethical Approval

This study does not include any individual-level data and thus does not require any ethical approval.

Additional information

Associate Editor Stefan M. Duma oversaw the review of this article.

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Zheng, Y., Wu, Y., Feng, B. et al. Enhancing Diabetes Self-management and Education: A Critical Analysis of ChatGPT's Role. Ann Biomed Eng 52, 741–744 (2024). https://doi.org/10.1007/s10439-023-03317-8

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  • DOI: https://doi.org/10.1007/s10439-023-03317-8

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