A High-Fidelity Combined ATC-Rxnorm Drug Hierarchy for Large-Scale Observational Research

Area of Science:

• Pharmacovigilance
• Health Informatics
• Drug Data Standardization

Background:

• Observational research relies on harmonized drug exposure data from disparate global databases.
• Existing drug terminologies like RxNorm and ATC classification are not adequately integrated for systematic analysis.
• Challenges in combining drug attributes and ontological rules hinder data harmonization.

Purpose of the Study:

• To develop a unified drug hierarchy by combining the Anatomical Therapeutic Chemical (ATC) classification and RxNorm terminology.
• To enable systematic retrieval and comparison of drug information across large-scale observational studies.
• To present a heuristic for maintaining this integrated drug resource.

Main Methods:

• Development of a combined ATC-RxNorm drug hierarchy.
• Implementation of a heuristic for maintaining the integrated resource.
• Evaluation of the combined hierarchy using a real-world database with drug and classification information.

Main Results:

• A novel combined ATC-RxNorm drug hierarchy was successfully created.
• The heuristic for maintaining the resource proved effective.
• The integrated hierarchy facilitates drug information retrieval in large-scale observational data.

Conclusions:

• The combined ATC-RxNorm drug hierarchy addresses the need for harmonized drug information in global observational research.
• This integrated system enhances the systematic analysis and comparison of drug exposure data.
• The developed heuristic ensures the continued maintenance and utility of this valuable resource.