Establishment of a clinical thinking ability training database based on artificial intelligence technology (Preprint)

Author:

Wang Heng,Zheng Danni,Wang Mengying,Ji Hong,Han Jiangli,Wang Yan,Shen Ning,Qiao Jie

Abstract

BACKGROUND

With the development of artificial intelligence (AI), medicine has entered the era of intelligent medicine, and various aspects, such as medical education and talent cultivation, are also being redefined.

OBJECTIVE

This study aimed to introduce an application named “XueYiKu”, which incorporates AI and real medical records to provide a new model of clinical thinking training. In addition, application usage classified by 4 levels of difficulties, learning and teaching effect were evaluated by 6 dimensions.

METHODS

The“XueYiKu” app was designed as a contactless, self-service, trial-and-error system application based on actual complete hospital medical records and natural language processing technology to comprehensively assess the "clinical competence" of residents at different stages. More than 400 teaching cases from 65 kinds of diseases were released for students to learn, and the subjects covered internal medicine, surgery, gynecology and obstetrics, and pediatrics.

RESULTS

From the app’s first launch on the Android platform on May 2019 to the last version of the “XueYiKu” app updated in May 2023, the total number of users of teachers and students was 6,209 and 1,180, respectively. The top 3 subjects most frequently learned were respirology, general surgery, and urinary surgery. For diseases, pneumonia was the most frequently learned, followed by cholecystolithiasis, benign prostate hyperplasia, and bladder tumor. The app enabled medical students' learning to become more active and self-motivated, with a variety of formats, and realized real-time feedback through assessments on the platform. The learning effect was satisfactory overall and provided important precedence for establishing scientific models and methods for assessing clinical thinking skills in the future.

CONCLUSIONS

The integration of AI and medical education will undoubtedly assist in the restructuring of education processes, promote the evolution of the education ecosystem, and provide new convenient ways for independent learning, interactive communication, and educational resource sharing.

Publisher

JMIR Publications Inc.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3