The greater plains collaborative: A PCORnet clinical research data network

Lemuel R. Waitman, Lauren S. Aaronson, Prakash M. Nadkarni, Daniel W. Connolly, James R Campbell

Research output: Contribution to journalArticle

17 Citations (Scopus)

Abstract

The Greater Plains Collaborative (GPC) is composed of 10 leading medical centers repurposing the research programs and informatics infrastructures developed through Clinical and Translational Science Award initiatives. Partners are the University of Kansas Medical Center, Children's Mercy Hospital, University of Iowa Healthcare, the University of Wisconsin-Madison, the Medical College of Wisconsin and Marshfield Clinic, the University of Minnesota Academic Health Center, the University of Nebraska Medical Center, the University of Texas Health Sciences Center at San Antonio, and the University of Texas Southwestern Medical Center. The GPC network brings together a diverse population of 10 million people across 1300 miles covering seven states with a combined area of 679 159 square miles. Using input from community members, breast cancer was selected as a focus for cohort building activities. In addition to a high-prevalence disorder, we also selected a rare disease, amyotrophic lateral sclerosis.

Original languageEnglish (US)
Pages (from-to)637-641
Number of pages5
JournalJournal of the American Medical Informatics Association
Volume21
Issue number4
DOIs
StatePublished - Jan 1 2014

Fingerprint

Informatics
Health
Amyotrophic Lateral Sclerosis
Rare Diseases
Research
Breast Neoplasms
Delivery of Health Care
Population

ASJC Scopus subject areas

  • Health Informatics

Cite this

The greater plains collaborative : A PCORnet clinical research data network. / Waitman, Lemuel R.; Aaronson, Lauren S.; Nadkarni, Prakash M.; Connolly, Daniel W.; Campbell, James R.

In: Journal of the American Medical Informatics Association, Vol. 21, No. 4, 01.01.2014, p. 637-641.

Research output: Contribution to journalArticle

Waitman, Lemuel R. ; Aaronson, Lauren S. ; Nadkarni, Prakash M. ; Connolly, Daniel W. ; Campbell, James R. / The greater plains collaborative : A PCORnet clinical research data network. In: Journal of the American Medical Informatics Association. 2014 ; Vol. 21, No. 4. pp. 637-641.
@article{1382107866714f4e915d466abaa98031,
title = "The greater plains collaborative: A PCORnet clinical research data network",
abstract = "The Greater Plains Collaborative (GPC) is composed of 10 leading medical centers repurposing the research programs and informatics infrastructures developed through Clinical and Translational Science Award initiatives. Partners are the University of Kansas Medical Center, Children's Mercy Hospital, University of Iowa Healthcare, the University of Wisconsin-Madison, the Medical College of Wisconsin and Marshfield Clinic, the University of Minnesota Academic Health Center, the University of Nebraska Medical Center, the University of Texas Health Sciences Center at San Antonio, and the University of Texas Southwestern Medical Center. The GPC network brings together a diverse population of 10 million people across 1300 miles covering seven states with a combined area of 679 159 square miles. Using input from community members, breast cancer was selected as a focus for cohort building activities. In addition to a high-prevalence disorder, we also selected a rare disease, amyotrophic lateral sclerosis.",
author = "Waitman, {Lemuel R.} and Aaronson, {Lauren S.} and Nadkarni, {Prakash M.} and Connolly, {Daniel W.} and Campbell, {James R}",
year = "2014",
month = "1",
day = "1",
doi = "10.1136/amiajnl-2014-002756",
language = "English (US)",
volume = "21",
pages = "637--641",
journal = "Journal of the American Medical Informatics Association",
issn = "1067-5027",
publisher = "Oxford University Press",
number = "4",

}

TY - JOUR

T1 - The greater plains collaborative

T2 - A PCORnet clinical research data network

AU - Waitman, Lemuel R.

AU - Aaronson, Lauren S.

AU - Nadkarni, Prakash M.

AU - Connolly, Daniel W.

AU - Campbell, James R

PY - 2014/1/1

Y1 - 2014/1/1

N2 - The Greater Plains Collaborative (GPC) is composed of 10 leading medical centers repurposing the research programs and informatics infrastructures developed through Clinical and Translational Science Award initiatives. Partners are the University of Kansas Medical Center, Children's Mercy Hospital, University of Iowa Healthcare, the University of Wisconsin-Madison, the Medical College of Wisconsin and Marshfield Clinic, the University of Minnesota Academic Health Center, the University of Nebraska Medical Center, the University of Texas Health Sciences Center at San Antonio, and the University of Texas Southwestern Medical Center. The GPC network brings together a diverse population of 10 million people across 1300 miles covering seven states with a combined area of 679 159 square miles. Using input from community members, breast cancer was selected as a focus for cohort building activities. In addition to a high-prevalence disorder, we also selected a rare disease, amyotrophic lateral sclerosis.

AB - The Greater Plains Collaborative (GPC) is composed of 10 leading medical centers repurposing the research programs and informatics infrastructures developed through Clinical and Translational Science Award initiatives. Partners are the University of Kansas Medical Center, Children's Mercy Hospital, University of Iowa Healthcare, the University of Wisconsin-Madison, the Medical College of Wisconsin and Marshfield Clinic, the University of Minnesota Academic Health Center, the University of Nebraska Medical Center, the University of Texas Health Sciences Center at San Antonio, and the University of Texas Southwestern Medical Center. The GPC network brings together a diverse population of 10 million people across 1300 miles covering seven states with a combined area of 679 159 square miles. Using input from community members, breast cancer was selected as a focus for cohort building activities. In addition to a high-prevalence disorder, we also selected a rare disease, amyotrophic lateral sclerosis.

UR - http://www.scopus.com/inward/record.url?scp=84902376670&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84902376670&partnerID=8YFLogxK

U2 - 10.1136/amiajnl-2014-002756

DO - 10.1136/amiajnl-2014-002756

M3 - Article

C2 - 24778202

AN - SCOPUS:84902376670

VL - 21

SP - 637

EP - 641

JO - Journal of the American Medical Informatics Association

JF - Journal of the American Medical Informatics Association

SN - 1067-5027

IS - 4

ER -