Clinical Decision Support to Implement CYP2D6 Drug-Gene Interaction

Pedro Caraballo; Mark Parkulo; David Blair; Michelle Elliott; Cloann Schultz; Joseph Sutton; Padma Rao; Jamie Bruflat; Robert Bleimeyer; John Crooks; Donald Gabrielson; Wayne Nicholson; Carolyn Rohrer Vitek; Kelly Wix; Suzette J Bielinski; Jyotishman Pathak; Iftikhar Jan Kullo

doi:10.3233/978-1-61499-564-7-946

Clinical Decision Support to Implement CYP2D6 Drug-Gene Interaction

Pedro Caraballo, Mark Parkulo, David Blair, Michelle Elliott, Cloann Schultz, Joseph Sutton, Padma Rao, Jamie Bruflat, Robert Bleimeyer, John Crooks, Donald Gabrielson, Wayne Nicholson, Carolyn Rohrer Vitek, Kelly Wix, Suzette J Bielinski, Jyotishman Pathak, Iftikhar Jan Kullo

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

Abstract

The level of CYP2D6 metabolic activity can be predicted by pharmacogenomic testing, and concomitant use of clinical decision support has the potential to prevent adverse effects from those drugs metabolized by this enzyme. Our initial findings after implementation of clinical decision support alerts integrated in the electronic health records suggest high feasibility, but also identify important challenges.

Original language	English (US)
Title of host publication	Studies in Health Technology and Informatics
Publisher	IOS Press
Pages	946
Number of pages	1
Volume	216
ISBN (Print)	9781614995630
DOIs	https://doi.org/10.3233/978-1-61499-564-7-946
State	Published - 2015
Event	15th World Congress on Health and Biomedical Informatics, MEDINFO 2015 - Sao Paulo, Brazil Duration: Aug 19 2015 → Aug 23 2015

Publication series

Name	Studies in Health Technology and Informatics
Volume	216
ISSN (Print)	09269630
ISSN (Electronic)	18798365

Other

Other	15th World Congress on Health and Biomedical Informatics, MEDINFO 2015
Country/Territory	Brazil
City	Sao Paulo
Period	8/19/15 → 8/23/15

Keywords

Clinical Decision Support Systems
Cytochrome P-450 CYP2D6
Electronic Health Records
Pharmacogenomics

ASJC Scopus subject areas

Biomedical Engineering
Health Informatics
Health Information Management

Access to Document

10.3233/978-1-61499-564-7-946

Cite this

Caraballo, P., Parkulo, M., Blair, D., Elliott, M., Schultz, C., Sutton, J., Rao, P., Bruflat, J., Bleimeyer, R., Crooks, J., Gabrielson, D., Nicholson, W., Rohrer Vitek, C., Wix, K., Bielinski, S. J., Pathak, J., & Kullo, I. J. (2015). Clinical Decision Support to Implement CYP2D6 Drug-Gene Interaction. In Studies in Health Technology and Informatics (Vol. 216, pp. 946). (Studies in Health Technology and Informatics; Vol. 216). IOS Press. https://doi.org/10.3233/978-1-61499-564-7-946

Caraballo, P, Parkulo, M, Blair, D, Elliott, M, Schultz, C, Sutton, J, Rao, P, Bruflat, J, Bleimeyer, R, Crooks, J, Gabrielson, D, Nicholson, W, Rohrer Vitek, C, Wix, K, Bielinski, SJ, Pathak, J & Kullo, IJ 2015, Clinical Decision Support to Implement CYP2D6 Drug-Gene Interaction. in Studies in Health Technology and Informatics. vol. 216, Studies in Health Technology and Informatics, vol. 216, IOS Press, pp. 946, 15th World Congress on Health and Biomedical Informatics, MEDINFO 2015, Sao Paulo, Brazil, 8/19/15. https://doi.org/10.3233/978-1-61499-564-7-946

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abstract = "The level of CYP2D6 metabolic activity can be predicted by pharmacogenomic testing, and concomitant use of clinical decision support has the potential to prevent adverse effects from those drugs metabolized by this enzyme. Our initial findings after implementation of clinical decision support alerts integrated in the electronic health records suggest high feasibility, but also identify important challenges.",

keywords = "Clinical Decision Support Systems, Cytochrome P-450 CYP2D6, Electronic Health Records, Pharmacogenomics",

author = "Pedro Caraballo and Mark Parkulo and David Blair and Michelle Elliott and Cloann Schultz and Joseph Sutton and Padma Rao and Jamie Bruflat and Robert Bleimeyer and John Crooks and Donald Gabrielson and Wayne Nicholson and {Rohrer Vitek}, Carolyn and Kelly Wix and Bielinski, {Suzette J} and Jyotishman Pathak and Kullo, {Iftikhar Jan}",

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doi = "10.3233/978-1-61499-564-7-946",

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AU - Caraballo, Pedro

AU - Parkulo, Mark

AU - Blair, David

AU - Elliott, Michelle

AU - Schultz, Cloann

AU - Sutton, Joseph

AU - Rao, Padma

AU - Bruflat, Jamie

AU - Bleimeyer, Robert

AU - Crooks, John

AU - Gabrielson, Donald

AU - Nicholson, Wayne

AU - Rohrer Vitek, Carolyn

AU - Wix, Kelly

AU - Bielinski, Suzette J

AU - Pathak, Jyotishman

AU - Kullo, Iftikhar Jan

PY - 2015

Y1 - 2015

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AB - The level of CYP2D6 metabolic activity can be predicted by pharmacogenomic testing, and concomitant use of clinical decision support has the potential to prevent adverse effects from those drugs metabolized by this enzyme. Our initial findings after implementation of clinical decision support alerts integrated in the electronic health records suggest high feasibility, but also identify important challenges.

KW - Clinical Decision Support Systems

KW - Cytochrome P-450 CYP2D6

KW - Electronic Health Records

KW - Pharmacogenomics

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AN - SCOPUS:84952011706

SN - 9781614995630

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T2 - 15th World Congress on Health and Biomedical Informatics, MEDINFO 2015

Y2 - 19 August 2015 through 23 August 2015

ER -

Clinical Decision Support to Implement CYP2D6 Drug-Gene Interaction

Abstract

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Keywords

ASJC Scopus subject areas

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