Development and validation of an open data model for pharmacogenetics to enable semantic interoperability in clinical practice

Details

This article is a research publication from 'The Pharmacogenomics Journal' focused on enabling semantic interoperability within the field of pharmacogenomics for clinical use. The developed open data model aims to integrate complex clinical information, such as diplotypes and inferred phenotypes, alongside genetic and disease data. The model utilizes multiple established standards, including resources from the Global Alliance for Genomics and Health (GA4GH), HL7 FHIR, SNOMED CT, HGNC, and LOINC. It is designed to integrate with tools like openEHR Clinical Knowledge Manager. The goal is not merely data exchange but advanced information integration. The validation process involves testing in real-world settings, such as those within NHS England, specifically targeting integration into clinical decision support (CDS) systems. This capability is crucial for supporting concrete clinical judgments, such as drug selection and dosage adjustment. By providing a foundational structure for pharmacogenomic data utilization across broader health IT systems, this research contributes significantly to the advancement of precision medicine.