基于ChatGPT的我国数字医疗发展前景、挑战和策略分析  

Analysis on Chinese Digital Medicine Development Prospects, Challenges and Strategies Based on ChatGPT

作　　者：严雪华 王宗水[1,2] 葛新权[1,2] YAN Xuehua;WANG Zongshui;GE Xinquan(School of Economics and Management,Beijing Information Science and Technology University,Beijing 100192,China;Beijing Key Laboratory of Green Development and Big Data Decision-Making,Beijing Information Science and Technology University,Beijing 100192,China)

机构地区：[1]北京信息科技大学经济管理学院,北京100192 [2]北京信息科技大学绿色发展大数据决策北京市重点实验室,北京100192

出　　处：《科学与管理》2024年第5期34-40,共7页Science and Management

基　　金：北京市社会科学基金(22GLB028);北京市教委优秀青年人才培育计划(BPHR202203237)。

摘　　要：ChatGPT使用了先进的生成式AI模型,在教育、医疗和翻译行业引领了新兴的人工智能方向。从数字医疗的概念定义出发,探索ChatGPT在效能、智能性、普及和医学教育方面的赋能作用和潜在应用前景,同时分析其在数据共享、数据隐私和安全以及产品引入的挑战。最后,从建设数字医疗大数据共享体系、创造数字医疗生成式AI生态环境和健全以隐私和安全为中心的数据保护机制方面提出ChatGPT融入数字医疗的策略。ChatGPT uses advanced generative AI models to lead the emerging AI direction in the education,medicine and translation industries.In this paper,we define the concept of digital medicine,explore the application prospect of ChatGPT in digital medicine system,and the direction of its empowerment is analyzed in four aspects:intelligence,popularity,effectiveness and medical education.Then,it analyzes the challenges and risks faced by ChatGPT in medical scenarios.In the end,the paper proposes strategies for the integration of ChatGPT into digital medicine:including building a digital healthcare big data sharing system,creating a digital medical generative AI ecosystem,and improving privacy-centered and security-centered data protection mechanism.

关 键 词：ChatGPT 数字医疗 发展前景 策略选择 

分 类 号：F124[经济管理—世界经济] R1-9[医药卫生—公共卫生与预防医学]