Designing an interoperable solution to support pharmacogenomic-guided prescribing in primary care: an implementer...

Area of Science:

• Health Informatics
• Clinical Pharmacology
• Genomics

Background:

• Pharmacogenomics offers personalized medicine by predicting drug response based on genetic makeup.
• Implementing pharmacogenomic-guided prescribing in routine clinical practice, particularly in primary care, presents significant technical and workflow challenges.

Purpose of the Study:

• To describe the implementation of an interoperable solution for pharmacogenomic-guided prescribing within the National Health Service (NHS) in England.
• To develop a system that integrates pharmacogenomic data and clinical guidance into primary care electronic health records (EHRs).

Main Methods:

• An iterative software development approach was employed, including clinical workflow mapping, system architecture design, development, and pilot testing.
• A commercial health data management platform was configured to store structured pharmacogenomic results.
• An open application programming interface (API) was developed for service deployment, enabling data exchange.

Main Results:

• The solution stores pharmacogenomic results and a knowledge base of guidance in a structured format.
• Deployed as a service via an open API, it allows third-party systems to query pharmacogenomic data using patient and medicine identifiers.
• The system was integrated with existing clinical decision support tools, delivering contextual information to prescribers within their EHRs.

Conclusions:

• An interoperable, vendor-agnostic, standards-based solution is crucial for implementing pharmacogenomic-guided prescribing across diverse care settings.
• Separating data from applications via APIs facilitates integration with various EHR systems, maximizing the utility of pharmacogenomic information at the point of prescribing.