Pharmacogenomic clinical decision support design and multi-site process outcomes analysis in the eMERGE Network

Timothy M. Herr, Josh F. Peterson, Luke V. Rasmussen, Pedro J. Caraballo, Peggy L. Peissig, Justin B Starren

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

To better understand the real-world effects of pharmacogenomic (PGx) alerts, this study aimed to characterize alert design within the eMERGE Network, and to establish a method for sharing PGx alert response data for aggregate analysis. Seven eMERGE sites submitted design details and established an alert logging data dictionary. Six sites participated in a pilot study, sharing alert response data from their electronic health record systems. PGx alert design varied, with some consensus around the use of active, post-test alerts to convey Clinical Pharmacogenetics Implementation Consortium recommendations. Sites successfully shared response data, with wide variation in acceptance and follow rates. Results reflect the lack of standardization in PGx alert design. Standards and/or larger studies will be necessary to fully understand PGx impact. This study demonstrated a method for sharing PGx alert response data and established that variation in system design is a significant barrier for multi-site analyses.

Original languageEnglish (US)
Pages (from-to)143-148
Number of pages6
JournalJournal of the American Medical Informatics Association
Volume26
Issue number2
DOIs
StatePublished - Jan 1 2019

Fingerprint

Clinical Decision Support Systems
Pharmacogenetics
Electronic Health Records

Keywords

  • Clinical decision support
  • Pharmacogenetics
  • Pharmacogenomics
  • Precision medicine
  • Process outcomes

ASJC Scopus subject areas

  • Health Informatics

Cite this

Herr, Timothy M. ; Peterson, Josh F. ; Rasmussen, Luke V. ; Caraballo, Pedro J. ; Peissig, Peggy L. ; Starren, Justin B. / Pharmacogenomic clinical decision support design and multi-site process outcomes analysis in the eMERGE Network. In: Journal of the American Medical Informatics Association. 2019 ; Vol. 26, No. 2. pp. 143-148.
@article{831acf3873894a279ab55a6f1ab99a32,
title = "Pharmacogenomic clinical decision support design and multi-site process outcomes analysis in the eMERGE Network",
abstract = "To better understand the real-world effects of pharmacogenomic (PGx) alerts, this study aimed to characterize alert design within the eMERGE Network, and to establish a method for sharing PGx alert response data for aggregate analysis. Seven eMERGE sites submitted design details and established an alert logging data dictionary. Six sites participated in a pilot study, sharing alert response data from their electronic health record systems. PGx alert design varied, with some consensus around the use of active, post-test alerts to convey Clinical Pharmacogenetics Implementation Consortium recommendations. Sites successfully shared response data, with wide variation in acceptance and follow rates. Results reflect the lack of standardization in PGx alert design. Standards and/or larger studies will be necessary to fully understand PGx impact. This study demonstrated a method for sharing PGx alert response data and established that variation in system design is a significant barrier for multi-site analyses.",
keywords = "Clinical decision support, Pharmacogenetics, Pharmacogenomics, Precision medicine, Process outcomes",
author = "Herr, {Timothy M.} and Peterson, {Josh F.} and Rasmussen, {Luke V.} and Caraballo, {Pedro J.} and Peissig, {Peggy L.} and Starren, {Justin B}",
year = "2019",
month = "1",
day = "1",
doi = "10.1093/jamia/ocy156",
language = "English (US)",
volume = "26",
pages = "143--148",
journal = "Journal of the American Medical Informatics Association : JAMIA",
issn = "1067-5027",
publisher = "Oxford University Press",
number = "2",

}

Pharmacogenomic clinical decision support design and multi-site process outcomes analysis in the eMERGE Network. / Herr, Timothy M.; Peterson, Josh F.; Rasmussen, Luke V.; Caraballo, Pedro J.; Peissig, Peggy L.; Starren, Justin B.

In: Journal of the American Medical Informatics Association, Vol. 26, No. 2, 01.01.2019, p. 143-148.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Pharmacogenomic clinical decision support design and multi-site process outcomes analysis in the eMERGE Network

AU - Herr, Timothy M.

AU - Peterson, Josh F.

AU - Rasmussen, Luke V.

AU - Caraballo, Pedro J.

AU - Peissig, Peggy L.

AU - Starren, Justin B

PY - 2019/1/1

Y1 - 2019/1/1

N2 - To better understand the real-world effects of pharmacogenomic (PGx) alerts, this study aimed to characterize alert design within the eMERGE Network, and to establish a method for sharing PGx alert response data for aggregate analysis. Seven eMERGE sites submitted design details and established an alert logging data dictionary. Six sites participated in a pilot study, sharing alert response data from their electronic health record systems. PGx alert design varied, with some consensus around the use of active, post-test alerts to convey Clinical Pharmacogenetics Implementation Consortium recommendations. Sites successfully shared response data, with wide variation in acceptance and follow rates. Results reflect the lack of standardization in PGx alert design. Standards and/or larger studies will be necessary to fully understand PGx impact. This study demonstrated a method for sharing PGx alert response data and established that variation in system design is a significant barrier for multi-site analyses.

AB - To better understand the real-world effects of pharmacogenomic (PGx) alerts, this study aimed to characterize alert design within the eMERGE Network, and to establish a method for sharing PGx alert response data for aggregate analysis. Seven eMERGE sites submitted design details and established an alert logging data dictionary. Six sites participated in a pilot study, sharing alert response data from their electronic health record systems. PGx alert design varied, with some consensus around the use of active, post-test alerts to convey Clinical Pharmacogenetics Implementation Consortium recommendations. Sites successfully shared response data, with wide variation in acceptance and follow rates. Results reflect the lack of standardization in PGx alert design. Standards and/or larger studies will be necessary to fully understand PGx impact. This study demonstrated a method for sharing PGx alert response data and established that variation in system design is a significant barrier for multi-site analyses.

KW - Clinical decision support

KW - Pharmacogenetics

KW - Pharmacogenomics

KW - Precision medicine

KW - Process outcomes

UR - http://www.scopus.com/inward/record.url?scp=85060381635&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85060381635&partnerID=8YFLogxK

U2 - 10.1093/jamia/ocy156

DO - 10.1093/jamia/ocy156

M3 - Article

C2 - 30590574

AN - SCOPUS:85060381635

VL - 26

SP - 143

EP - 148

JO - Journal of the American Medical Informatics Association : JAMIA

JF - Journal of the American Medical Informatics Association : JAMIA

SN - 1067-5027

IS - 2

ER -