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

作者：Videha Sharma, John McDermott, Jessica Keen, Ben McIntyre, Scott L. Watson, William G. Newman · 发表于：BMJ Health & Care Informatics · 年份：2025 · DOI：10.1136/bmjhci-2024-101163 · 被引用次数：3 · 研究领域：Pharmacogenetics and Drug Metabolism、Genomics and Rare Diseases、Electronic Health Records Systems

STUDY OBJECTIVES: Describe the implementation of an interoperable solution to support pharmacogenomic-guided prescribing in primary care in the National Health Service, England. METHODS: We used an iterative approach to software development going through clinical workflow mapping, architecture design and development, and pilot-testing. RESULTS: We configured a commercial health data management platform to store pharmacogenomic results in a structured format and created a knowledge base of pharmacogenomic guidance. This solution was deployed 'as-a-service' using an open application programming interface (API) specification, allowing third parties to receive pharmacogenomic results and guidance by querying the service using a patient identifier and medicine code. This was integrated with existing clinical decision support tools and presented contextual information to prescribers within their native electronic health record (EHR). DISCUSSION: Pharmacogenomic results and guidance will be used across care settings and have greatest utility at the point of prescribing. This requires a solution, which separates the data from the applications, allowing integration with different EHRs through APIs. CONCLUSIONS: A vendor-agnostic standards-based solution can support the implementation of pharmacogenomic-guided prescribing across primary care.