Investigation on the preferences for data quality assessment indicators of electronic health records: user-oriented perspective.

ABSTRACT:

Objectives

This study aims to investigate whether different types of electronic health record (EHR) users have distinct preferences for data quality assessment indicators (DQAI) and explore how these preferences can guide the enhancement of EHR systems and the optimization of related policies.

Materials and methods

High-frequency indicators were identified by a systematic literature review to construct a DQAI system, which was assessed by a user-oriented investigation involving doctors, nurses, hospital supervisors, and clinical researchers. The entropy weight method and fuzzy comprehensive evaluation model were employed for the system comprehensive evaluation. Exploratory factor analysis was used to construct dimensions, and visualization analysis was utilized to explore pr

SUBMITTER: Yang L 

PROVIDER: S-EPMC11633948 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature