Leveraging Artificial Intelligence to Assess Physicians’ Willingness to Share Electronic Medical Records in a Hierarchical Diagnostic Ecosystem
Year: 2024
Type: article
Study design: Observational Study
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.
Authors: Meng Zhang, Chenghua Qin, Fenhua Qiang
Institution: Renmin University of China
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4405200822