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用于药物相关咨询的人工智能聊天机器人的安全性和质量:与持牌药剂师的真实世界比较。

Safety and quality of AI chatbots for drug-related inquiries: A real-world comparison with licensed pharmacists.

作者信息

Albogami Yasser, Alfakhri Almaha, Alaqil Abdulaziz, Alkoraishi Aljawharah, Alshammari Heba, Elsharawy Yasmin, Alhammad Abdullah, Alhossan Abdulaziz

机构信息

Department of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.

Saudi Food and Drug Authority, Riyadh, Saudi Arabia.

出版信息

Digit Health. 2024 May 15;10:20552076241253523. doi: 10.1177/20552076241253523. eCollection 2024 Jan-Dec.

Abstract

INTRODUCTION

Pharmacists play a pivotal role in ensuring patients are administered safe and effective medications; however, they encounter obstacles such as elevated workloads and a scarcity of qualified professionals. Despite the prospective utility of large language models (LLMs), such as Generative Pre-trained Transformers (GPTs), in addressing pharmaceutical inquiries, their applicability in real-world cases remains unexplored.

OBJECTIVE

To evaluate GPT-based chatbots' accuracy in real-world drug-related inquiries, comparing their performance to licensed pharmacists.

METHODS

In this cross-sectional study, authors analyzed real-world drug inquiries from a Drug Information Inquiry Database. Two independent pharmacists evaluated the performance of GPT-based chatbots (GPT-3, GPT-3.5, GPT-4) against human pharmacists using accuracy, detail, and risk of harm criteria. Descriptive statistics described inquiry characteristics. Absolute proportion comparative analyses assessed accuracy, detail, and risk of harm. Stratified analyses were performed for different inquiry types.

RESULTS

Seventy inquiries were included. Most inquiries were received from physicians (41%) and pharmacists (44%). Inquiries type included dosage/administration (34.2%), drug interaction (12.8%) and pregnancy/lactation (15.7%). Majority of inquires included adults (83%) and female patients (54.3%). GPT-4 had 64.3% completely accurate responses, comparable to human pharmacists. GPT-4 and human pharmacists provided sufficiently detailed responses, with GPT-4 offering additional relevant details. Both GPT-4 and human pharmacists delivered 95% safe responses; however, GPT-4 provided proactive risk mitigation information in 70% of the instances, whereas similar information was included in 25.7% of human pharmacists' responses.

CONCLUSION

Our study showcased GPT-4's potential in addressing drug-related inquiries accurately and safely, comparable to human pharmacists. Current GPT-4-based chatbots could support healthcare professionals and foster global health improvements.

摘要

引言

药剂师在确保患者使用安全有效的药物方面发挥着关键作用;然而,他们面临着工作量增加和合格专业人员短缺等障碍。尽管生成式预训练变换器(GPT)等大语言模型在解决药学问题方面具有潜在效用,但其在实际案例中的适用性仍未得到探索。

目的

评估基于GPT的聊天机器人在实际药物相关问题中的准确性,并将其性能与持牌药剂师进行比较。

方法

在这项横断面研究中,作者分析了来自药物信息查询数据库的实际药物问题。两名独立的药剂师使用准确性、详细程度和伤害风险标准,评估了基于GPT的聊天机器人(GPT-3、GPT-3.5、GPT-4)与人类药剂师的性能。描述性统计描述了问题特征。绝对比例比较分析评估了准确性、详细程度和伤害风险。对不同类型的问题进行了分层分析。

结果

共纳入70个问题。大多数问题来自医生(41%)和药剂师(44%)。问题类型包括剂量/给药(34.2%)、药物相互作用(12.8%)和妊娠/哺乳(15.7%)。大多数问题涉及成年人(83%)和女性患者(54.3%)。GPT-4的完全准确回答率为64.3%,与人类药剂师相当。GPT-4和人类药剂师都提供了足够详细的回答,GPT-4还提供了额外的相关细节。GPT-4和人类药剂师的安全回答率均为95%;然而,GPT-4在70%的情况下提供了主动的风险缓解信息,而人类药剂师的回答中只有25.7%包含类似信息。

结论

我们的研究展示了GPT-4在准确、安全地解决药物相关问题方面的潜力,与人类药剂师相当。当前基于GPT-4的聊天机器人可以支持医疗保健专业人员,并促进全球健康改善。

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