Assessment and Improvement of Drug Data Structuredness From Electronic Health Records: Algorithm Development and Validation.

ABSTRACT:

Background

Digitization offers a multitude of opportunities to gain insights into current diagnostics and therapies from retrospective data. In this context, real-world data and their accessibility are of increasing importance to support unbiased and reliable research on big data. However, routinely collected data are not readily usable for research owing to the unstructured nature of health care systems and a lack of interoperability between these systems. This challenge is evident in drug data.

Objective

This study aimed to present an approach that identifies and increases the structuredness of drug data while ensuring standardization according to Anatomical Therapeutic Chemical (ATC) classification.

Methods

Our approach was based on available drug prescriptions and

SUBMITTER: Reinecke I 

PROVIDER: S-EPMC9909518 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature