The Impact of Generative Artificial Intelligence on the Development, Evaluation, and Application of Clinical Practice Guidelines

Xufei LUO; Han LYU; Zaiwei SONG; Hui LIU; Zhixiang WANG; Haodong LI; Ye WANG; Di ZHU; Lu ZHANG; Yaolong CHEN

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The Impact of Generative Artificial Intelligence on the Development, Evaluation, and Application of Clinical Practice Guidelines

VernacularTitle:生成式人工智能对临床实践指南制订、评价和应用的影响
Author: Xufei LUO ^{1
,

2
,

3
,

4} ; Han LYU ⁵ ; Zaiwei SONG ⁶ ; Hui LIU ^{1
,

2
,

3
,

4} ; Zhixiang WANG ^{7
,

8} ; Haodong LI ⁹ ; Ye WANG ⁹ ; Di ZHU ⁹ ; Lu ZHANG ^{1
,

10} ; Yaolong CHEN ^{1
,

2
,

3
,

4
,

11
,

12}
Author Information

1. Evidence-based Medicine Center, Lanzhou University, Lanzhou 730000, China
2. Research Unit of Evidence-based Evaluation and Guidelines, Chinese Academy of Medical Sciences, Lanzhou 730000, China
3. Key Laboratory of Evidence-based Medicine of Gansu Province, Lanzhou 730000, China
4. Institute of Health Data Science, Lanzhou University, Lanzhou 730000, China
5. Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
6. Department of Pharmacy, Peking University Third Hospital, Beijing 100191, China
7. Department of Ultrasound, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
8. Accurate and Intelligent Imaging Laboratory, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
9. School of Public Health, Lanzhou University, Lanzhou 730000, China
10. Department of Computer Science, Hong Kong Baptist University, Hongkong 999077, China
11. Guidelines and Standards Research Center, Chinese Medical Association Publishing House, Lanzhou 730000, China
12. WHO Collaborating Center for Guideline Implementation and Knowledge Translation, Lanzhou 730000, China
Publication Type:Journal Article
Keywords: clinical practice guideline; generative artificial intelligence; systematic review; ChatGPT; large language models
From: Medical Journal of Peking Union Medical College Hospital 2024;15(5):1173-1181
CountryChina
Language:Chinese
Abstract:
Generative artificial intelligence (GAI) refers to AI technology capable of generating new content such as text, images, or audio from training data. GAI tools not only demonstrate rapid and efficient potential in literature screening, data extraction, and literature appraisal in systematic reviews, but can also be used for guideline evaluation and dissemination, enhancing the readability and promotion efficiency of guidelines. However, the accuracy of content generated by GAI tools, the rationality of cited evidence, the level of evidence, and the reliability of data still need verification. Additionally, data privacy protection and ethical issues are challenges that need to be addressed. This article aims to overview the current status of GAI tools in the formulation, evaluation, dissemination, and implementation of guidelines, explore the feasibility and new models of GAI tools in the field of guidelines, and improve the efficiency and quality of guideline formulation to better serve guideline developers and users.