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Analysis of the impact of smart medical platform construction on medical willingness: ——Based on quantitative analysis of urban residents in Wuhan

Published: 09 December 2022 Publication History

Abstract

In the post-epidemic era, smart medical platforms have received more and more attention. Taking the Wuhan area as an example, this paper explores the impact of medical platform construction on urban residents' willingness to seek medical treatment through a combination of questionnaire surveys and expert interviews. Based on SOR, this study combines Theory of Perceived Risk and TAM to establish model, and uses factor regression analysis and structural equation model for hypothesis verification. The research results can provide an important reference basis for the development of targeted management and promotion strategies for smart medical port managers.

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Dong Y (2010). Research on influencing factors of doctor-patient knowledge transfer based on patient trust (master's thesis, Zhejiang University). https://kns.cnki.net/KCMS/detail/detail.aspx?dbname=CMFD2010&filename=2010043572.nh
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  1. Analysis of the impact of smart medical platform construction on medical willingness: ——Based on quantitative analysis of urban residents in Wuhan

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    ISAIMS '22: Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences
    October 2022
    594 pages
    ISBN:9781450398442
    DOI:10.1145/3570773
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 09 December 2022

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    Author Tags

    1. SOR model
    2. Smart medical platform
    3. Willingness
    4. the post-epidemic era

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    ISAIMS 2022

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    Overall Acceptance Rate 53 of 112 submissions, 47%

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