High-Throughput Computing to Detect Harmful Drug-Drug Interactions in Older Adults: Protocol for a Population-Based Cohort Study.

ABSTRACT:

Background

Drug-drug interactions (DDIs) are a major concern, especially for older adults taking multiple medications. Although Health Canada and the US Food and Drug Administration (FDA) use population-based studies to identify adverse drug events, detecting harmful DDIs is challenging due to the millions of potential drug combinations. Traditional pharmacoepidemiologic studies are slow and inefficient, often missing important harmful DDIs.

Objective

This protocol outlines a novel approach to efficiently identify harmful DDIs using administrative health care data.

Methods

Using high-throughput computing, we will conduct multiple population-based, new-user cohort studies using Ontario's linked administrative health care data. The cohorts will be selected from the popu

SUBMITTER: Rostamzadeh N 

PROVIDER: S-EPMC12552818 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature