Volume 102, Issue 5 p. 859-869
Research

Pharmacogenomics-Based Point-of-Care Clinical Decision Support Significantly Alters Drug Prescribing

PH O'Donnell

Corresponding Author

PH O'Donnell

Department of Medicine, University of Chicago, Chicago, Illinois, USA

Center for Personalized Therapeutics, University of Chicago, Chicago, Illinois, USA

Committee on Clinical Pharmacology and Pharmacogenomics, University of Chicago, Chicago, Illinois, USA

Correspondence: PH O'Donnell ([email protected])Search for more papers by this author
N Wadhwa

N Wadhwa

Pritzker School of Medicine, University of Chicago, Chicago, Illinois, USA

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K Danahey

K Danahey

Center for Personalized Therapeutics, University of Chicago, Chicago, Illinois, USA

Center for Research Informatics, University of Chicago, Chicago, Illinois, USA

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BA Borden

BA Borden

Center for Personalized Therapeutics, University of Chicago, Chicago, Illinois, USA

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SM Lee

SM Lee

Department of Health Sciences, University of Chicago, Chicago, Illinois, USA

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JP Hall

JP Hall

Center for Personalized Therapeutics, University of Chicago, Chicago, Illinois, USA

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C Klammer

C Klammer

Center for Personalized Therapeutics, University of Chicago, Chicago, Illinois, USA

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S Hussain

S Hussain

Center for Personalized Therapeutics, University of Chicago, Chicago, Illinois, USA

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M Siegler

M Siegler

Department of Medicine, University of Chicago, Chicago, Illinois, USA

Center for Personalized Therapeutics, University of Chicago, Chicago, Illinois, USA

Committee on Clinical Pharmacology and Pharmacogenomics, University of Chicago, Chicago, Illinois, USA

MacLean Center for Clinical Medical Ethics, University of Chicago, Chicago, Illinois, USA

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MJ Sorrentino

MJ Sorrentino

Department of Medicine, University of Chicago, Chicago, Illinois, USA

Center for Personalized Therapeutics, University of Chicago, Chicago, Illinois, USA

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AM Davis

AM Davis

Department of Medicine, University of Chicago, Chicago, Illinois, USA

Center for Personalized Therapeutics, University of Chicago, Chicago, Illinois, USA

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YA Sacro

YA Sacro

Department of Medicine, University of Chicago, Chicago, Illinois, USA

Center for Personalized Therapeutics, University of Chicago, Chicago, Illinois, USA

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R Nanda

R Nanda

Department of Medicine, University of Chicago, Chicago, Illinois, USA

Center for Personalized Therapeutics, University of Chicago, Chicago, Illinois, USA

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TS Polonsky

TS Polonsky

Department of Medicine, University of Chicago, Chicago, Illinois, USA

Center for Personalized Therapeutics, University of Chicago, Chicago, Illinois, USA

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JL Koyner

JL Koyner

Department of Medicine, University of Chicago, Chicago, Illinois, USA

Center for Personalized Therapeutics, University of Chicago, Chicago, Illinois, USA

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DL Burnet

DL Burnet

Department of Medicine, University of Chicago, Chicago, Illinois, USA

Center for Personalized Therapeutics, University of Chicago, Chicago, Illinois, USA

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K Lipstreuer

K Lipstreuer

Department of Medicine, University of Chicago, Chicago, Illinois, USA

Center for Personalized Therapeutics, University of Chicago, Chicago, Illinois, USA

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DT Rubin

DT Rubin

Department of Medicine, University of Chicago, Chicago, Illinois, USA

Center for Personalized Therapeutics, University of Chicago, Chicago, Illinois, USA

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C Mulcahy

C Mulcahy

Department of Medicine, University of Chicago, Chicago, Illinois, USA

Center for Personalized Therapeutics, University of Chicago, Chicago, Illinois, USA

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ME Strek

ME Strek

Department of Medicine, University of Chicago, Chicago, Illinois, USA

Center for Personalized Therapeutics, University of Chicago, Chicago, Illinois, USA

Committee on Clinical Pharmacology and Pharmacogenomics, University of Chicago, Chicago, Illinois, USA

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W Harper

W Harper

Department of Medicine, University of Chicago, Chicago, Illinois, USA

Center for Personalized Therapeutics, University of Chicago, Chicago, Illinois, USA

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AS Cifu

AS Cifu

Department of Medicine, University of Chicago, Chicago, Illinois, USA

Center for Personalized Therapeutics, University of Chicago, Chicago, Illinois, USA

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B Polite

B Polite

Department of Medicine, University of Chicago, Chicago, Illinois, USA

Center for Personalized Therapeutics, University of Chicago, Chicago, Illinois, USA

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L Patrick-Miller

L Patrick-Miller

Center for Clinical Cancer Genetics, University of Chicago, Chicago, Illinois, USA

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K-TJ Yeo

K-TJ Yeo

Department of Pathology, University of Chicago, Chicago, Illinois, USA

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EKY Leung

EKY Leung

Department of Pathology, University of Chicago, Chicago, Illinois, USA

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SL Volchenboum

SL Volchenboum

Center for Research Informatics, University of Chicago, Chicago, Illinois, USA

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RB Altman

RB Altman

Departments of Bioengineering, Genetics, and Medicine, Stanford University, Palo Alto, California, USA

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OI Olopade

OI Olopade

Department of Medicine, University of Chicago, Chicago, Illinois, USA

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WM Stadler

WM Stadler

Department of Medicine, University of Chicago, Chicago, Illinois, USA

Center for Personalized Therapeutics, University of Chicago, Chicago, Illinois, USA

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DO Meltzer

DO Meltzer

Department of Medicine, University of Chicago, Chicago, Illinois, USA

Center for Health and the Social Sciences, University of Chicago, Chicago, Illinois, USA

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MJ Ratain

MJ Ratain

Department of Medicine, University of Chicago, Chicago, Illinois, USA

Center for Personalized Therapeutics, University of Chicago, Chicago, Illinois, USA

Committee on Clinical Pharmacology and Pharmacogenomics, University of Chicago, Chicago, Illinois, USA

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First published: 11 April 2017
Citations: 64

Abstract

Changes in behavior are necessary to apply genomic discoveries to practice. We prospectively studied medication changes made by providers representing eight different medicine specialty clinics whose patients had submitted to preemptive pharmacogenomic genotyping. An institutional clinical decision support (CDS) system provided pharmacogenomic results using traffic light alerts: green = genomically favorable, yellow = genomic caution, red = high risk. The influence of pharmacogenomic alerts on prescribing behaviors was the primary endpoint. In all, 2,279 outpatient encounters were analyzed. Independent of other potential prescribing mediators, medications with high pharmacogenomic risk were changed significantly more often than prescription drugs lacking pharmacogenomic information (odds ratio (OR) = 26.2 (9.0–75.3), P < 0.0001). Medications with cautionary pharmacogenomic information were also changed more frequently (OR = 2.4 (1.7–3.5), P < 0.0001). No pharmacogenomically high-risk medications were prescribed during the entire study when physicians consulted the CDS tool. Pharmacogenomic information improved prescribing in patterns aimed at reducing patient risk, demonstrating that enhanced prescription decision-making is achievable through clinical integration of genomic medicine.