ArticleJournal of the American Medical Informatics Association : JAMIA2019
An ancillary genomics system to support the return of pharmacogenomic results.
Article in Journal of the American Medical Informatics Association : JAMIA, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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.
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.
Who cites it
13 citing papers in PubMed.
- Advancing the science of genomic learning healthcare systems.Learning health systems · 2025Article
- Barriers and facilitators of the use of clinical informatics resources to facilitate pharmacogenomic implementation in resource-limited settings.JAMIA open · 2024Article
- Mapping the use of cardiovascular genetic services in pediatric clinical care: challenges and opportunities for improvement.Frontiers in genetics · 2024Article
- Studying the impact of translational genomic research: Lessons from eMERGE.American journal of human genetics · 2023Review
- Challenges of Integrating APOL1 Genetic Test Results into the Electronic Health Record.Applied clinical informatics · 2023Article
- Advancing Pharmacogenomics from Single-Gene to Preemptive Testing.Annual review of genomics and human genetics · 2022Review
- Pharmacogenomic Clinical Decision Support: A Review, How-to Guide, and Future Vision.Clinical pharmacology and therapeutics · 2022Review
- Facilitating Genetics Aware Clinical Decision Support: Putting the eMERGE Infrastructure into Practice.ACI open · 2021Article
- Advancing precision public health using human genomics: examples from the field and future research opportunities.Genome medicine · 2021Article
- Challenges and opportunities for integrating genetic testing into a diagnostic workflow: heritable long QT syndrome as a model.Diagnosis (Berlin, Germany) · 2021Review
- Solutions for Unexpected Challenges Encountered when Integrating Research Genomics Results into the EHR.ACI open · 2020Article
- Managing Increased Accessibility to Pharmacogenomic Data.Clinical pharmacology and therapeutics · 2019Article
- Genomic Information for Clinicians in the Electronic Health Record: Lessons Learned From the Clinical Genome Resource Project and the Electronic Medical Records and Genomics Network.Frontiers in genetics · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
Existing approaches to managing genetic and genomic test results from external laboratories typically include filing of text reports within the electronic health record, making them unavailable in many cases for clinical decision support. Even when structured computable results are available, the lack of adopted standards requires considerations for processing the results into actionable knowledge, in addition to storage and management of the data. Here, we describe the design and implementation of an ancillary genomics system used to receive and process heterogeneous results from external laboratories, which returns a descriptive phenotype to the electronic health record in support of pharmacogenetic clinical decision support.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.