| Title |
Development of clinical decision support alerts for pharmacogenomic incidental findings from exome sequencing
|
|---|---|
| Published in |
Genetics in Medicine, March 2015
|
| DOI | 10.1038/gim.2015.5 |
| Pubmed ID | |
| Authors |
Adam A. Nishimura, Brian H. Shirts, Michael O. Dorschner, Laura M. Amendola, Joe W. Smith, Gail P. Jarvik, Peter Tarczy-Hornoch |
| Abstract |
Purpose:Electronic health records (EHRs) and their associated decision support tools are potentially important means of disseminating a patient's pharmacogenomic profile to his or her health-care providers. We sought to create a proof-of-concept decision support alert system generated from pharmacogenomic incidental findings from exome sequencing.Methods:A pipeline for alerts from exome sequencing tests was created for patients in the New EXome Technology in (NEXT) Medicine study at the University of Washington. Decision support rules using discrete, machine-readable incidental finding results were programmed into a commercial EHR rules engine. An evaluation plan to monitor the alerts in real medical interactions was established.Results:Alerts were created for 48 actionable pharmacogenomic variants in 11 genes and were launched on 24 September 2014 for University of Washington inpatient care. Of the 94 participants enrolled in the NEXT Medicine study, 49 had one or more pharmacogenomic variants identified for return.Conclusion:Reflections on the process reveal that while incidental findings can be used to generate decision support alerts, substantial resources are required to ensure that each alert is consistent with rapidly evolving pharmacogenomic literature and is customized to fit in the clinical workflow unique to each incidental finding.Genet Med advance online publication 05 March 2015Genetics in Medicine (2015); doi:10.1038/gim.2015.5. |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 22% |
| Israel | 1 | 11% |
| United Kingdom | 1 | 11% |
| Ireland | 1 | 11% |
| Nigeria | 1 | 11% |
| Canada | 1 | 11% |
| Unknown | 2 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 56% |
| Members of the public | 4 | 44% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 2% |
| Unknown | 40 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 15% |
| Student > Ph. D. Student | 5 | 12% |
| Student > Bachelor | 5 | 12% |
| Professor | 4 | 10% |
| Other | 4 | 10% |
| Other | 11 | 27% |
| Unknown | 6 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 22% |
| Computer Science | 5 | 12% |
| Agricultural and Biological Sciences | 4 | 10% |
| Biochemistry, Genetics and Molecular Biology | 4 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 7% |
| Other | 9 | 22% |
| Unknown | 7 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 May 2023.
All research outputs
#4,192,244
of 25,374,647 outputs
Outputs from Genetics in Medicine
#1,282
of 2,943 outputs
Outputs of similar age
#48,990
of 272,875 outputs
Outputs of similar age from Genetics in Medicine
#21
of 49 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,943 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.0. This one has gotten more attention than average, scoring higher than 56% of its peers.
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We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.