Trends in electronic health record metadata use for management purposes.

ABSTRACT:

Objective

This study aims to analyze hospitals' adoption and integration of electronic health record (EHR) metadata into their management processes.

Design

The study compares the rates of EHR metadata utilization across various hospitals over time. Hospitals' self-reported use of EHR metadata is drawn from the AHA-IT Supplements from 2018 to 2020. An analysis of metadata utilization by EHR vendors is also provided.

Method

The study uses Bass diffusion modeling to estimate EHR adoption parameters by fitting adoption rate data from 2018 to 2020, using Excel Solver to minimize prediction errors. The estimated internal and external influence coefficients reveal which factor primarily drives adoption, while the diffusion model enables future projection of tipping point and

SUBMITTER: Xu N 

PROVIDER: S-EPMC12264387 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature