Framework for identifying drug repurposing candidates from observational healthcare data.

ABSTRACT:

Objective

Observational medical databases, such as electronic health records and insurance claims, track the healthcare trajectory of millions of individuals. These databases provide real-world longitudinal information on large cohorts of patients and their medication prescription history. We present an easy-to-customize framework that systematically analyzes such databases to identify new indications for on-market prescription drugs.

Materials and methods

Our framework provides an interface for defining study design parameters and extracting patient cohorts, disease-related outcomes, and potential confounders in observational databases. It then applies causal inference methodology to emulate hundreds of randomized controlled trials (RCTs) for prescribed drugs, while adjusti

SUBMITTER: Ozery-Flato M 

PROVIDER: S-EPMC7886555 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature