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Published on: December 11, 2016
Designing an interoperable solution to support pharmacogenomic-guided prescribing in primary care: an implementer
Videha Sharma1, John McDermott2,3, Jessica Keen3
1Centre for Health Informatics, Division of Informatics, Imaging and Data Science, The University of Manchester, Manchester, UK videha.sharma@manchester.ac.uk.
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.
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