ChatGPT 在日间手术和麻醉前风险评估中的表现:对 150 例模拟病人进行的病例对照研究。

IF 2 3区 医学 Q2 ANESTHESIOLOGY
Tingting Cheng, Yu Li, Jiaqiu Gu, Yibo He, Guangbao He, Peipei Zhou, Shuyun Li, Hang Xu, Yang Bao, Xuejun Wang
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引用次数: 0

摘要

背景:近年来,中国的日间手术发展迅速,但仍面临麻醉医师短缺的问题,无法处理手术前的常规麻醉。我们推测聊天工具可以帮助麻醉医师进行术前评估,并回答患者关心的问题。本研究的目的是检验 ChatGPT 评估术前风险的能力,并确定其在回答有关日间手术麻醉知识和管理的问题时的准确性:方法: 我们生成了 150 份患者档案,模拟日间手术患者的情况,其中涉及不同敏锐度和严重程度的并发症。ChatGPT 小组和专家组都需要对 150 名模拟患者的资料进行评估,以确定他们的 ASA-PS 分级以及是否建议进行日间手术。然后要求 ChatGPT 回答 131 个有关日间手术麻醉的问题,这些问题代表了临床实践中最常见的问题。ChatGPT 的表现由两名经验丰富的麻醉师独立评估和打分:研究共纳入了 150 份患者资料(男性 75 人[50.0%],女性 75 人[50.0%])。ChatGPT 组与专家组在患者资料的 ASA-PS 分级和麻醉风险评估方面没有差异(P > 0.05)。关于某些合并症患者(ASA ≥ II)的日间手术建议,专家组倾向于要求进一步检查或治疗。此外,ChatGPT 得出的结论比例小于专家(即 ChatGPT n (%) vs. expert n (%):可以进行日间手术,67 (47.9) vs. 31 (25.4);需要进一步治疗和评估,56 (37.3) vs. 66 (44.0);不建议进行日间手术,18 (12.9) vs. 29 (9.3),P 结论:ChatGPT 可以提醒麻醉医师和外科医生 ASA-PS 分级并评估日间手术患者的围手术期风险,从而为他们提供帮助。ChatGPT 还可以回答与麻醉前相关的问题和疑虑,因此有可能为临床工作提供重要帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The performance of ChatGPT in day surgery and pre-anesthesia risk assessment: a case-control study of 150 simulated patient presentations.

Background: Day surgery has developed rapidly in China in recent years, although it still faces a shortage of anesthesiologists to handle pre-anesthesia routine before surgery. We hypothesized that ChatGPT may assist anesthesia practitioners in preoperative assessment and answer questions on the concerns of patients. The aims of this study were to examine the ability of ChatGPT to assess preoperative risk and determine its accuracy in answering questions regarding knowledge and management of day surgery anesthesia.

Methods: One-hundred fifty patient profiles were generated to simulate day surgery patient presentations that involved complications of varying acuity and severity. The ChatGPT group and the expert group were both required to evaluate the profiles of 150 simulated patients to determine their ASA-PS classification and whether day surgery was recommended. ChatGPT was then asked to answer 131 questions about day surgery anesthesia that represented the most common issues encountered in clinical practice. The performance of ChatGPT was assessed and graded independently by two experienced anesthesiologists.

Results: A total of 150 patient profiles were included in the study (75 males [50.0%] and 75 females [50.0%]). There was no difference between the ChatGPT group and the expert group for the ASA-PS classification and assessment of anesthesia risk in the patient profiles (P > 0.05). Regarding recommendation for day surgery in patients with certain comorbidities (ASA ≥ II), the expert group was inclined to require further examination or treatment. In addition, the proportion of conclusions made by ChatGPT was smaller than that of the experts (i.e., ChatGPT n (%) vs. expert n (%): day surgery can be performed, 67 (47.9) vs. 31 (25.4); needs further treatment and evaluation, 56 (37.3) vs. 66 (44.0); and day surgery is not recommended, 18 (12.9) vs. 29 (9.3), P < 0.05). We showed that ChatGPT had extensive knowledge related to day surgery anesthesia (94.0% correct), with most of the points (70%) considered comprehensive. The performance of ChatGPT was also better in the domains of peri-anesthesia concerns, lifestyle, and emotional support.

Conclusions: ChatGPT can assist anesthesia practitioners and surgeons by alerting them to the ASA-PS classification and assessing perioperative risk in day surgery patients. ChatGPT can also be trusted to answer questions and concerns related to pre-anesthesia and therefore has the potential to provide important assistance in clinical work.

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