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人工智能与中国医疗服务提供者的工作表现。

Artificial intelligence and job performance of healthcare providers in China.

机构信息

School of Labor Economics, Capital University of Economics and Business, Beijing, China.

Department of Hepatobiliary Surgery, The First People's Hospital of Yunnan Province, Kunming, China.

出版信息

Front Public Health. 2024 Aug 8;12:1398330. doi: 10.3389/fpubh.2024.1398330. eCollection 2024.

DOI:10.3389/fpubh.2024.1398330
PMID:39175906
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11339717/
Abstract

INTRODUCTION

This study explores the influence of artificial intelligence (A.I.) applications on the job performance of healthcare providers, based on data from standardised-trained residents in the First People's Hospital of Yunnan Province in China.

METHODS

The ordinary least squares model is employed to examine the relationship between A.I. applications and job performance. To address potential endogeneity and missing variables, we utilise the propensity score matching method and alternative regression models.

RESULTS

The findings indicate that the job performance of standardised-trained residents positively correlates with A.I. applications. This relationship remains robust after addressing endogenous and missing variables. Further discussion reveals that patients' support mediates the relationship between A.I. and job performance. Under identical conditions, the job performance of female residents empowered by A.I. is found to be significantly better than that of their male counterparts. Conversely, no heterogeneity is observed regarding the impact of A.I. on the job performance of medical practitioners and clinical medical technicians.

DISCUSSION

This study underscores the positive role of A.I. applications in enhancing the job performance of standardised-trained residents. The results highlight the mediating role of patient support and suggest gender-based differences in the efficacy of A.I. empowerment.

摘要

引言

本研究基于中国云南省第一人民医院标准化培训住院医师的数据,探讨了人工智能(AI)应用对医疗保健提供者工作绩效的影响。

方法

采用普通最小二乘法模型检验 AI 应用与工作绩效之间的关系。为了解决潜在的内生性和变量缺失问题,我们利用倾向评分匹配法和替代回归模型。

结果

研究结果表明,标准化培训住院医师的工作绩效与 AI 应用呈正相关。在解决内生性和变量缺失问题后,这一关系仍然稳健。进一步的讨论表明,患者的支持在 AI 和工作绩效之间的关系中起中介作用。在相同条件下,女性住院医师在 AI 赋能下的工作绩效明显优于男性住院医师。然而,AI 对执业医师和临床医疗技师工作绩效的影响没有表现出异质性。

讨论

本研究强调了 AI 应用在提高标准化培训住院医师工作绩效方面的积极作用。研究结果突出了患者支持的中介作用,并表明 AI 赋能在性别方面存在效果差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0760/11339717/00e1ab4a9816/fpubh-12-1398330-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0760/11339717/4ca671b2d4bf/fpubh-12-1398330-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0760/11339717/480b05958601/fpubh-12-1398330-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0760/11339717/00e1ab4a9816/fpubh-12-1398330-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0760/11339717/4ca671b2d4bf/fpubh-12-1398330-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0760/11339717/480b05958601/fpubh-12-1398330-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0760/11339717/00e1ab4a9816/fpubh-12-1398330-g003.jpg

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