pSCANNER: patient-centered Scalable National Network for Effectiveness Research

Autor: Lucila Ohno-Machado, Davera Gabriel, Douglas S. Bell, Lisa Dahm, Jonathan R. Nebeker, Katherine K. Kim, Michele E. Day, Daniella Meeker, Zia Agha, Michael Hogarth, Jason N. Doctor, Maninder Kahlon, Michael E. Matheny
Rok vydání: 2014
Předmět:
Health information technology
Comparative effectiveness research
Information Dissemination
Health Informatics
Computer Communication Networks
03 medical and health sciences
0302 clinical medicine
Nursing
Ambulatory care
Patient-Centered Care
Outcome Assessment
Health Care
Electronic Health Records
Humans
Medicine
Outpatient clinic
distributed analysis
030212 general & internal medicine
030304 developmental biology
0303 health sciences
business.industry
clinical data research network
Patient-centered outcomes
Health information exchange
United States
Focus on Building a Network for Patient-Centered Outcomes Research
3. Good health
United States Department of Veterans Affairs
Engineering management
comparative effectiveness research
Informatics
business
Confidentiality
patient-centered research
Zdroj: Journal of the American Medical Informatics Association : JAMIA
ISSN: 1527-974X
1067-5027
DOI: 10.1136/amiajnl-2014-002751
Popis: This article describes the patient-centered Scalable National Network for Effectiveness Research (pSCANNER), which is part of the recently formed PCORnet, a national network composed of learning healthcare systems and patient-powered research networks funded by the Patient Centered Outcomes Research Institute (PCORI). It is designed to be a stakeholder-governed federated network that uses a distributed architecture to integrate data from three existing networks covering over 21 million patients in all 50 states: (1) VA Informatics and Computing Infrastructure (VINCI), with data from Veteran Health Administration's 151 inpatient and 909 ambulatory care and community-based outpatient clinics; (2) the University of California Research exchange (UC-ReX) network, with data from UC Davis, Irvine, Los Angeles, San Francisco, and San Diego; and (3) SCANNER, a consortium of UCSD, Tennessee VA, and three federally qualified health systems in the Los Angeles area supplemented with claims and health information exchange data, led by the University of Southern California. Initial use cases will focus on three conditions: (1) congestive heart failure; (2) Kawasaki disease; (3) obesity. Stakeholders, such as patients, clinicians, and health service researchers, will be engaged to prioritize research questions to be answered through the network. We will use a privacy-preserving distributed computation model with synchronous and asynchronous modes. The distributed system will be based on a common data model that allows the construction and evaluation of distributed multivariate models for a variety of statistical analyses.
Databáze: OpenAIRE
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