人工智能技术对医生工作量的影响研究
Influence of Artificial Intelligence Technology on Physician Workload
阮观梅 1耿娜 1王春鸣2
作者信息
- 1. 上海交通大学安泰经济与管理学院中美物流研究院 上海 200240
- 2. 上海交通大学医学院附属仁济医院 上海 200127
- 折叠
摘要
目的 基于2012-2021 年我国31 个省份的面板数据,分析人工智能技术发展水平对医生工作量的影响.方法 采用MATLAB R2022b软件对医生工作量进行Kernel核密度估计,分析10年来医生工作量的变化情况;选择固定效应模型,借助Stata MP 17.0 软件对人工智能技术和医生工作量进行面板回归分析.结果 当前,我国医生工作量存在严重的区域多级分化现象;人工智能辅助诊断、治疗和管理等技术均明显降低了医生工作量,但人工智能技术的负向影响存在区域性差异,在东部地区影响最明显,而在西部地区影响不明显;老龄化程度和个人健康投资均负向调节了人工智能辅助诊断技术与医生工作量的关系.结论 人工智能尤其是人工智能辅助诊断技术对降低医生工作量具有重要作用,能够缓解我国老龄化背景下医疗资源不足以及分配不均等问题带来的压力,应给予高度重视.
Abstract
Objective To analyzes the influence of Artificial Intelligence(AI)technology on physician workload based on the panel data of 31 provinces in China from 2012 to 2021.Methods Using MATLAB R2022b software to estimate the kernel density of physician workload and analyze the changes of physician workload in the past 10 years.Select fixed effects model and perform panel regression analysis between AI techniques and physician workload based on Stata MP 17.0 software.Results At present,there is a serious regional multi-level differentiation in physician workload.AI-assisted diagnosis,AI-assisted treatment and AI-assisted management have significantly reduced the physician workload.However,there is regional difference in the negative influence of AI technology on physician workload,with the most significant influence in eastern China and less significant in western China.Both aging and personal health investment negatively moderate the relationship between AI-assisted diagnosis technology and physician workload.Conclusion Great attention should be paid to AI,especially AI-assisted diagnosis technology,because it plays an important role in reducing the physician workload and alleviating the pressure caused by insufficient medical resources and uneven distribution in the context of aging.
关键词
医生工作量/人工智能/老龄化程度/个人健康投资Key words
physician workload/Artificial Intelligence/degree of aging/personal health investment引用本文复制引用
出版年
2024
NETL
NSTL
维普
万方数据