Quantifying Electronic Health Record Data Quality in Telehealth and Office-Based Diabetes Care.

ABSTRACT:

Objective

Data derived from the electronic health record (EHR) are commonly reused for quality improvement, clinical decision-making, and empirical research despite having data quality challenges. Research highlighting EHR data quality concerns has largely been examined and identified during traditional in-person visits. To understand variations in data quality among patients managing type 2 diabetes mellitus (T2DM) with and without a history of telehealth visits, we examined three EHR data quality dimensions: timeliness, completeness, and information density.

Methods

We used EHR data (2016-2021) from a local enterprise data warehouse to quantify timeliness, completeness, and information density for diagnostic and laboratory test data. Means and chi-squared significance test

SUBMITTER: Wiley KK 

PROVIDER: S-EPMC9750794 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature