首页|基于临床实践指南,应用生成式人工智能模型编写纤维肌痛患者教育材料

基于临床实践指南,应用生成式人工智能模型编写纤维肌痛患者教育材料

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目的 基于临床实践指南,应用生成式人工智能(AI)模型——ChatGPT4。0高效编写纤维肌痛患者教育材料,以提高诊疗效率,帮助患者正确认识并合理处理纤维肌痛。方法 系统检索PubMed、Embase英文数据库,中国知网(CNKI)、万方数据知识服务平台(WanFang Data)、SinoMed中文数据库(检索时间为从2000年1月1日至2024年1月29日),筛选符合纳入标准的纤维肌痛诊治相关指南/共识,应用ChatGPT4。0编写患者教育材料,专业人员对患者教育材料的准确性进行把关。利用可读性评价工具对教育材料进行评价。结果 检索得到12篇符合纳入标准的指南/共识。编写的患者教育材料包含18个问题及答案。可读性评价结果显示,材料可读性相当于中学生水平。结论 基于临床实践指南及ChatGPT4。0方法人机结合编写患者教育材料是可行的,高效的,其科学性、专业性及可读性俱佳。
Applying generative artificial intelligence models based on clinical practice guidelines to develop educational materials for fibromyalgia patients
Objective To efficiently produce educational materials for fibromyalgia patients based on clinical practice guidelines using the generative artificial intelligence(AI)model—ChatGPT 4.0,aiming to improve diagnostic and treatment ef-ficiency and assist patients in accurately understanding and managing fibromyalgia.Methods Systematic searches were con-ducted in English databases such as PubMed and Embase,as well as Chinese databases including CNKI,WanFang Data,and SinoMed(from January 1,2000,to January 29,2024),to select guidelines/consensus documents relevant to the diagnosis and treatment of fibromyalgia.The ChatGPT 4.0 was utilized to create educational materials,which were then vetted for accura-cy by professionals.The readability of these materials was assessed using readability assessment tools.Results Twelve guidelines/consensus documents met the inclusion criteria.The produced educational materials contained 18 questions and answers.The readability assessment indicated the materials were on par with a middle school level.Conclusion The combined use of clini-cal practice guidelines and the ChatGPT 4.0 model to create patient education materials is feasible and efficient,with good sci-entific rigor,professionalism,and readability.

fibromyalgiaclinical practice guidelinespatient education materialsChatGPT 4.0generative artificial in-telligence model

张志玲、周鹏翔、何娜、吴紫阳、闫盈盈、罗启鹏、李水清、姚中强、翟所迪

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北京大学第三医院 药学部,北京 100191

北京大学第三医院 疼痛科,北京 100191

北京大学第三医院 风湿免疫科,北京 100191

苏州大学附属第一医院 药剂科,江苏 苏州 215004

北京大学医学部药物评价中心,北京 100191

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纤维肌痛 临床实践指南 患者教育材料 ChatGPT4.0 生成式人工智能

北京大学医学部培育青年学者科技创新基金

BMU2022PYB033

2024

临床药物治疗杂志
北京药学会

临床药物治疗杂志

CSTPCD
影响因子:1.07
ISSN:1672-3384
年,卷(期):2024.22(5)
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