The effect of automated audit and feedback on data completeness in the electronic health record of the general physician: protocol for a cluster randomized controlled trial.

ABSTRACT:

Background

The electronic health record (EHR) of the general physician (GP) is an important tool that can be used to assess and improve the quality of healthcare. However, there are some problems when (re) using the data gathered in the EHR for quality assessments. One problem is the lack of data completeness in the EHR. Audit and feedback (A&F) is a well-known quality intervention that can improve the quality of healthcare. We hypothesize that an automated A&F intervention can be adapted to improve the data completeness of the EHR of the GP, more specifically, the number of correctly registered diagnoses of type 2 diabetes and chronic kidney disease.

Methods

This study is a pragmatic cluster randomized controlled trial with an intervention at the level of GP practice. The i

SUBMITTER: Van den Bulck S 

PROVIDER: S-EPMC8097814 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature