两面夹击：第三方在线医疗平台上的活动如何影响医生对官方在线医疗平台的需求？

IF 6.7 1区计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Decision Support Systems Pub Date : 2024-10-16 DOI:10.1016/j.dss.2024.114350

Heng Zhao , Sijia Zhou

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引用次数: 0

摘要

本研究利用中国一家第三方平台和一家综合性公立医院（配备官方在线医疗平台）的经验数据，采用两阶段赫克曼选择模型，发现第三方在线医疗平台（OHPs）不应被视为推广官方在线医疗平台的障碍。相反，医生在第三方在线医疗平台上的活动增加了官方在线医疗平台对医生的需求。此外，本研究还探讨了医生群体效应的异质性。例如，特定努力对职称越高的医生影响越大，但对网上评分越高的医生影响越小。本研究为政策制定者和医院管理者在多个平台上推广和协调在线服务提供了有价值的见解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Foot in both camps: How do activities on third-party online healthcare platforms affect doctors' demand on official online healthcare platforms?

Using empirical data from a third-party platform and a comprehensive public hospital (equipped with an official online healthcare platform) in China, this study employs a two-stage Heckman selection model and find that third-party online healthcare platforms (OHPs) should not be considered an obstacle to promoting official OHPs. Instead, doctors' activities on third-party OHPs increase the demand for doctors on official OHPs. Moreover, this study explores the heterogeneity in the effects of the doctor groups. For example, the impact of specific efforts is stronger for doctors with higher professional titles but weaker for doctors with higher online ratings. This study provides valuable insights for policymakers and hospital administrators to promote and coordinate online services across multiple platforms.

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来源期刊

Decision Support Systems 工程技术-计算机：人工智能

CiteScore

14.70

自引率

6.70%

发文量

119

审稿时长

13 months

期刊介绍： The common thread of articles published in Decision Support Systems is their relevance to theoretical and technical issues in the support of enhanced decision making. The areas addressed may include foundations, functionality, interfaces, implementation, impacts, and evaluation of decision support systems (DSSs).