Evidence map›Paper›PMID 40216452›Full record

ArticleBMJ health & care informatics2025

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

Videha Sharma, John McDermott, Jessica Keen, Ben McIntyre, Scott Watson, William Newman

Abstract read
In one paragraph

Article in BMJ health & care informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Videha SharmaCentre for Health Informatics, Division of Informatics, Imaging and Data Science, The University of Manchester, Manchester, UK videha.sharma@manchester.ac.uk.ORCID http://orcid.org/0000-0001-7640-1239
John McDermottThe Division of Evolution, Infection and Genomics, School of Biological Sciences, The University of Manchester, Manchester, UK.
Jessica KeenManchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK.
Ben McIntyreManchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK.
Scott WatsonManchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK.
William NewmanThe Division of Evolution, Infection and Genomics, School of Biological Sciences, The University of Manchester, Manchester, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

objectivesDescribe the implementation of an interoperable solution to support pharmacogenomic-guided prescribing in primary care in the National Health Service, England.

methodsWe used an iterative approach to software development going through clinical workflow mapping, architecture design and development, and pilot-testing.

resultsWe 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.

conclusionsA vendor-agnostic standards-based solution can support the implementation of pharmacogenomic-guided prescribing across primary care.

Indexed as

PharmacogeneticsPrimary Health CareDecision Support Systems, ClinicalElectronic Health RecordsEnglandHumansState MedicineDecision Support Systems, ClinicalDelivery of Health CareHealth Information InteroperabilityPatient-Centered CarePrimary Health Care

Identifiers

PMID40216452
PMCPMC12082653

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.