TY - JOUR
T1 - Scalable collaborative infrastructure for a learning healthcare system (SCILHS)
T2 - Architecture
AU - Mandl, Kenneth D.
AU - Kohane, Isaac S.
AU - McFadden, Douglas
AU - Weber, Griffin M.
AU - Natter, Marc
AU - Mandel, Joshua
AU - Schneeweiss, Sebastian
AU - Weiler, Sarah
AU - Klann, Jeffrey G.
AU - Bickel, Jonathan
AU - Adams, William G.
AU - Ge, Yaorong
AU - Zhou, Xiaobo
AU - Perkins, James
AU - Marsolo, Keith
AU - Berns tam, Elmer
AU - Showalter, John
AU - Quarshie, Alexander
AU - Ofili, Elizabeth
AU - Hripcsak, George
AU - Murphy, Shawn N.
N1 - Copyright:
Copyright 2014 Elsevier B.V., All rights reserved.
PY - 2014
Y1 - 2014
N2 - We describe the architecture of the Patient Centered Outcomes Research Institute (PCORI) funded Scalable Collaborative Infrastructure for a Learning Healthcare System (SCILHS, http://www.SCILHS.org) clinical data research network, which leverages the $48 billion dollar federal investment in health information technology (IT) to enable a queryable semantic data model across 10 health systems covering more than 8 million patients, plugging universally into the point of care, generating evidence and discovery, and thereby enabling clinician and patient participation in research during the patient encounter. Central to the success of SCILHS is development of innovative 'apps' to improve PCOR research methods and capacitate point of care functions such as consent, enrollment, randomization, and outreach for patient-reported outcomes. SCILHS adapts and extends an existing national research network formed on an advanced IT infrastructure built with open source, free, modular components.
AB - We describe the architecture of the Patient Centered Outcomes Research Institute (PCORI) funded Scalable Collaborative Infrastructure for a Learning Healthcare System (SCILHS, http://www.SCILHS.org) clinical data research network, which leverages the $48 billion dollar federal investment in health information technology (IT) to enable a queryable semantic data model across 10 health systems covering more than 8 million patients, plugging universally into the point of care, generating evidence and discovery, and thereby enabling clinician and patient participation in research during the patient encounter. Central to the success of SCILHS is development of innovative 'apps' to improve PCOR research methods and capacitate point of care functions such as consent, enrollment, randomization, and outreach for patient-reported outcomes. SCILHS adapts and extends an existing national research network formed on an advanced IT infrastructure built with open source, free, modular components.
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U2 - 10.1136/amiajnl-2014-002727
DO - 10.1136/amiajnl-2014-002727
M3 - Article
C2 - 24821734
AN - SCOPUS:84902371324
VL - 21
SP - 615
EP - 620
JO - Journal of the American Medical Informatics Association : JAMIA
JF - Journal of the American Medical Informatics Association : JAMIA
SN - 1067-5027
IS - 4
ER -