Literature DB >> 31591640

Integrating pharmacogenomics into the electronic health record by implementing genomic indicators.

Pedro J Caraballo1,2, Joseph A Sutton3, Jyothsna Giri4, Jessica A Wright5, Wayne T Nicholson6, Iftikhar J Kullo7, Mark A Parkulo2,8, Suzette J Bielinski9, Ann M Moyer10.   

Abstract

Pharmacogenomics (PGx) clinical decision support integrated into the electronic health record (EHR) has the potential to provide relevant knowledge to clinicians to enable individualized care. However, past experience implementing PGx clinical decision support into multiple EHR platforms has identified important clinical, procedural, and technical challenges. Commercial EHRs have been widely criticized for the lack of readiness to implement precision medicine. Herein, we share our experiences and lessons learned implementing new EHR functionality charting PGx phenotypes in a unique repository, genomic indicators, instead of using the problem or allergy list. The Gen-Ind has additional features including a brief description of the clinical impact, a hyperlink to the original laboratory report, and links to additional educational resources. The automatic generation of genomic indicators from interfaced PGx test results facilitates implementation and long-term maintenance of PGx data in the EHR and can be used as criteria for synchronous and asynchronous CDS.
© The Author(s) 2019. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  clinical decision support systems; delivery of health care; electronic health record; medical informatics; medication therapy management; pharmacogenetics; precision medicine

Mesh:

Year:  2020        PMID: 31591640      PMCID: PMC6913212          DOI: 10.1093/jamia/ocz177

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  29 in total

Review 1.  Clinical genomics data standards for pharmacogenetics and pharmacogenomics.

Authors:  Amnon Shabo
Journal:  Pharmacogenomics       Date:  2006-03       Impact factor: 2.533

2.  Genomic data in the electronic medical record: perspectives from a biobank community advisory board.

Authors:  Brittany C Kimball; Katherine E Nowakowski; Karen J Maschke; Jennifer B McCormick
Journal:  J Empir Res Hum Res Ethics       Date:  2014-10-13       Impact factor: 1.742

Review 3.  Recommendations for Clinical CYP2C9 Genotyping Allele Selection: A Joint Recommendation of the Association for Molecular Pathology and College of American Pathologists.

Authors:  Victoria M Pratt; Larisa H Cavallari; Andria L Del Tredici; Houda Hachad; Yuan Ji; Ann M Moyer; Stuart A Scott; Michelle Whirl-Carrillo; Karen E Weck
Journal:  J Mol Diagn       Date:  2019-05-08       Impact factor: 5.568

4.  Implementation of pharmacogenetics: the University of Maryland Personalized Anti-platelet Pharmacogenetics Program.

Authors:  Alan R Shuldiner; Kathleen Palmer; Ruth E Pakyz; Tameka D Alestock; Kristin A Maloney; Courtney O'Neill; Shaun Bhatty; Jamie Schub; Casey Lynnette Overby; Richard B Horenstein; Toni I Pollin; Mark D Kelemen; Amber L Beitelshees; Shawn W Robinson; Miriam G Blitzer; Patrick F McArdle; Lawrence Brown; Linda Jo Bone Jeng; Richard Y Zhao; Nicholas Ambulos; Mark R Vesely
Journal:  Am J Med Genet C Semin Med Genet       Date:  2014-03-10       Impact factor: 3.908

Review 5.  Recommendations for Clinical CYP2C19 Genotyping Allele Selection: A Report of the Association for Molecular Pathology.

Authors:  Victoria M Pratt; Andria L Del Tredici; Houda Hachad; Yuan Ji; Lisa V Kalman; Stuart A Scott; Karen E Weck
Journal:  J Mol Diagn       Date:  2018-02-21       Impact factor: 5.568

Review 6.  The emerging role of electronic medical records in pharmacogenomics.

Authors:  R A Wilke; H Xu; J C Denny; D M Roden; R M Krauss; C A McCarty; R L Davis; T Skaar; J Lamba; G Savova
Journal:  Clin Pharmacol Ther       Date:  2011-01-19       Impact factor: 6.875

7.  The Return of Actionable Variants Empirical (RAVE) Study, a Mayo Clinic Genomic Medicine Implementation Study: Design and Initial Results.

Authors:  Iftikhar J Kullo; Janet Olson; Xiao Fan; Merin Jose; Maya Safarova; Carmen Radecki Breitkopf; Erin Winkler; David C Kochan; Sara Snipes; Joel E Pacyna; Meaghan Carney; Christopher G Chute; Jyoti Gupta; Sheethal Jose; Eric Venner; Mullai Murugan; Yunyun Jiang; Magdi Zordok; Medhat Farwati; Maraisha Philogene; Erica Smith; Gabriel Q Shaibi; Pedro Caraballo; Robert Freimuth; Noralane M Lindor; Richard Sharp; Stephen N Thibodeau
Journal:  Mayo Clin Proc       Date:  2018-11       Impact factor: 7.616

Review 8.  Leveraging the electronic health record to implement genomic medicine.

Authors:  Iftikhar J Kullo; Gail P Jarvik; Teri A Manolio; Marc S Williams; Dan M Roden
Journal:  Genet Med       Date:  2012-09-27       Impact factor: 8.822

9.  Development and use of active clinical decision support for preemptive pharmacogenomics.

Authors:  Gillian C Bell; Kristine R Crews; Mark R Wilkinson; Cyrine E Haidar; J Kevin Hicks; Donald K Baker; Nancy M Kornegay; Wenjian Yang; Shane J Cross; Scott C Howard; Robert R Freimuth; William E Evans; Ulrich Broeckel; Mary V Relling; James M Hoffman
Journal:  J Am Med Inform Assoc       Date:  2013-08-26       Impact factor: 4.497

10.  Implementing Pharmacogenomics at Your Institution: Establishment and Overcoming Implementation Challenges.

Authors:  M J Arwood; S Chumnumwat; L H Cavallari; E A Nutescu; J D Duarte
Journal:  Clin Transl Sci       Date:  2016-06-14       Impact factor: 4.689

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  5 in total

Review 1.  Advancing Pharmacogenomics from Single-Gene to Preemptive Testing.

Authors:  Cyrine E Haidar; Kristine R Crews; James M Hoffman; Mary V Relling; Kelly E Caudle
Journal:  Annu Rev Genomics Hum Genet       Date:  2022-05-10       Impact factor: 9.340

Review 2.  Pharmacogenomic Clinical Decision Support: A Review, How-to Guide, and Future Vision.

Authors:  Dyson T Wake; D Max Smith; Sadaf Kazi; Henry M Dunnenberger
Journal:  Clin Pharmacol Ther       Date:  2021-08-29       Impact factor: 6.903

3.  Precision Population Medicine in Primary Care: The Sanford Chip Experience.

Authors:  Kurt D Christensen; Megan Bell; Carrie L B Zawatsky; Lauren N Galbraith; Robert C Green; Allison M Hutchinson; Leila Jamal; Jessica L LeBlanc; Jennifer R Leonhard; Michelle Moore; Lisa Mullineaux; Natasha Petry; Dylan M Platt; Sherin Shaaban; April Schultz; Bethany D Tucker; Joel Van Heukelom; Elizabeth Wheeler; Emilie S Zoltick; Catherine Hajek
Journal:  Front Genet       Date:  2021-03-12       Impact factor: 4.599

4.  No Association Between Pharmacogenomics Variants and Hospital and Emergency Department Utilization: A Mayo Clinic Biobank Retrospective Study.

Authors:  Paul Y Takahashi; Euijung Ryu; Suzette J Bielinski; Matthew Hathcock; Gregory D Jenkins; James R Cerhan; Janet E Olson
Journal:  Pharmgenomics Pers Med       Date:  2021-02-11

Review 5.  Pharmacogenomic testing in paediatrics: Clinical implementation strategies.

Authors:  Charlotte I S Barker; Gabriella Groeneweg; Anke H Maitland-van der Zee; Michael J Rieder; Daniel B Hawcutt; Tim J Hubbard; Jesse J Swen; Bruce C Carleton
Journal:  Br J Clin Pharmacol       Date:  2022-02-07       Impact factor: 3.716

  5 in total

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