Finding Dental Harm to Patients through Electronic Health Record-Based Triggers.

ABSTRACT:

Background

Patients may be inadvertently harmed while undergoing dental treatments. To improve care, we must first determine the types and frequency of harms that patients experience, but identifying cases of harm is not always straightforward for dental practices. Mining data from electronic health records is a promising means of efficiently detecting possible adverse events (AEs).

Methods

We developed 7 electronic triggers (electronic health record based) to flag patient charts that contain distinct events common to AEs. These electronic charts were then manually reviewed to identify AEs.

Results

Of the 1,885 charts reviewed, 16.2% contained an AE. The positive predictive value of the triggers ranged from a high of 0.23 for the 2 best-performing triggers (failed imp

SUBMITTER: Walji MF 

PROVIDER: S-EPMC7298886 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature