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

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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Publication Details

Journal
Journal of Artificial Intelligence Research
Published
2024-10-23
DOI
https://doi.org/10.70891/jair.2024.100024
Citations
1
Primary Topic
Electronic Health Records Systems
Type
article
Field-Weighted Citation Impact
0.71
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article

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

Chunlei Qin, Meng Zhang, Fenhua Qiang
1 citations
Journal of Artificial Intelligence Research
Electronic Health Records Systems
0.71
article

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

Chunlei Qin, Meng Zhang, Fenhua Qiang
article en
1 citations

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.

Journal of Artificial Intelligence ResearchVol. 1(1)
Renmin University of China (CN)
Openalex Percentile: Top 19%
Electronic Health Records Systems
0.71
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Leveraging Artificial Intelligence to Assess Physicians’ Willingness to Share Electronic Medical Records in a Hierarchical Diagnostic Ecosystem — Chunlei Qin, Meng Zhang, et al. · Journal of Artificial Intelligence Research (2024) | TGRS Research Map | TGRS