Bioinformatics Architecture for Integrating Genomics Data into Electronic Health Records

Area of Science:

• Bioinformatics
• Genomic Data Management
• Precision Medicine

Background:

• Effective management of patient genomic information is crucial for precision medicine.
• Integrating genomic data with Electronic Health Records (EHR) presents significant challenges.
• Current systems often lack robust mechanisms for utilizing genomic data in clinical decision-making.

Purpose of the Study:

• To develop and implement a scalable bioinformatic architecture for storing and integrating genomic test data.
• To enhance patient care by linking genomic information with EHR via a Clinical Decision Support System (CDSS).
• To facilitate genetic counseling referrals and follow-up for hereditary cancer risks, specifically for BRCA1/BRCA2 gene variants.

Main Methods:

• Developed a scalable database architecture for comprehensive genomic data storage.
• Integrated genomic data with EHR using a CDSS.
• Utilized Health Level Seven (HL7) Fast Healthcare Interoperability Resources (FHIR) standard.
• Employed standardized genetic nomenclatures from the Human Genome Variation Society (HGVS) and the HUGO Gene Nomenclature Committee (HGNC).

Main Results:

• Successfully implemented a bioinformatic architecture for genomic data management and EHR integration.
• The CDSS effectively identifies patients requiring genetic counseling for hereditary breast/ovarian cancer risk.
• The system enables precise follow-up for patients with pathogenic variants in BRCA1 or BRCA2 genes.
• Demonstrated flexibility for integration into diverse health information ecosystems.

Conclusions:

• The proposed bioinformatic architecture supports precision medicine by enabling robust genomic data management and clinical integration.
• The system enhances patient care through automated risk identification and targeted follow-up protocols.
• The flexible and standards-based design allows for widespread adoption by health institutions at various stages of digitization.