Suppr超能文献

使用临床病史采集聊天机器人移动应用程序进行临床床边教学——一项前瞻性病例对照研究。

Using clinical history taking chatbot mobile app for clinical bedside teachings - A prospective case control study.

作者信息

Co Michael, John Yuen Tsz Hon, Cheung Ho Hung

机构信息

Centre for Education and Training, Department of Surgery, Queen Mary Hospital, University of Hong Kong, Hong Kong.

Department of Computer Science, University of Hong Kong, Hong Kong.

出版信息

Heliyon. 2022 Jun 19;8(6):e09751. doi: 10.1016/j.heliyon.2022.e09751. eCollection 2022 Jun.

Abstract

INTRODUCTION

A novel chatbot mobile app for training of undergraduate medical students' clinical history taking skills was developed in 2021. Students were able to take clinical history from the virtual patient for bedside teaching. A case-control study was conducted to evaluate the effectiveness of learning with chatbot mobile app, versus conventional bedside teachings with real patients.

METHODS

132 final year medical students were randomized into two groups - Conventional bedside teaching with clinical history taken from a real patient, and Bedside teaching with clinical history taken from the Chatbot. Independent blinded assessment of students' history taking skills was conducted. Students' performance were assessed by standardized marking scheme.

RESULTS

Median age was 23 years old (Range 21-30 years old). There were 62 female and 70 male students.64 students were randomized into conventional group while 68 students were randomized into the chatbot group. Baseline demographic data were comparable between the two groups.Blinded assessment of students' performance in clinical history taking were comparable between the conventional group and chatbot group (p > 0.05).

CONCLUSION

With the promising results we have demonstrated in this study, we believe training of history taking skills by chatbot will be a feasible alternative to conventional bedside teaching.

摘要

引言

2021年开发了一款用于培训本科医学生临床病史采集技能的新型聊天机器人移动应用程序。学生能够从虚拟患者那里获取临床病史以进行床边教学。开展了一项病例对照研究,以评估使用聊天机器人移动应用程序学习与使用真实患者进行传统床边教学相比的有效性。

方法

132名医学专业最后一年的学生被随机分为两组——从真实患者处获取临床病史的传统床边教学组,以及从聊天机器人处获取临床病史的床边教学组。对学生的病史采集技能进行独立的盲法评估。学生的表现通过标准化评分方案进行评估。

结果

中位年龄为23岁(范围21 - 30岁)。有62名女生和70名男生。64名学生被随机分到传统组,68名学生被随机分到聊天机器人组。两组之间的基线人口统计学数据具有可比性。传统组和聊天机器人组在临床病史采集方面学生表现的盲法评估结果具有可比性(p > 0.05)。

结论

鉴于我们在本研究中展示的令人鼓舞的结果,我们相信通过聊天机器人培训病史采集技能将是传统床边教学的一种可行替代方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aebb/9234591/acb29959142a/gr1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验