Leveraging Artificial Intelligence to Assess Physicians’ Willingness to Share Electronic Medical Records in a Hierarchical Diagnostic Ecosystem

Authors

  • Meng Zhang
    School of Information Resource Management, Renmin University of China, Beijing China
  • Chenghua Qin
    School of Information Resource Management, Renmin University of China, Beijing China
  • Fenhua Qiang
    School of Information Resource Management, Renmin University of China, Beijing China

DOI:

https://doi.org/10.70891/JAIR.2024.100024

Keywords:

hierarchical system, electronic medical record, doctors, willingness to share

Abstract

In order to promote the practice of the hierarchical diagnosis system in China, We looked into electronic medical record-the important information carrier of patient health data. Based on literature reading and pre-investigation, a model of influencing factors of doctors’ willingness to use and share electronic medical records under the background of the implementation of the hierarchical diagnosis and treatment system was constructed. The questionnaire was designed with the traditional model and the questionnaire data were collected. The structural equation model was used to test the constructed model. The results show that the perceived usefulness of electronic medical records has the most significant impact on the willingness to share. Perceived ease of use and privacy protection of patient information have significant effects on sharing intention. In the future, the construction of electronic medical record system should be based on improving its use value and considering its convenience.

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Published

2024-10-23

Issue

Section

Articles

How to Cite

Zhang, M., Qin, C., & Qiang, F. (2024). Leveraging Artificial Intelligence to Assess Physicians’ Willingness to Share Electronic Medical Records in a Hierarchical Diagnostic Ecosystem. Journal of Artificial Intelligence Research, 1(1), 27-35. https://doi.org/10.70891/JAIR.2024.100024