Study Data from University of Utah Provide New Insights into Health and Medical Informatics (pSCANNER: patient-centered Scalable National Network for Effectiveness Research)
By a News Reporter-Staff News Editor at Information Technology Newsweekly -- A new study on Health and Medical Informatics is now available. According to news reporting originating from Salt Lake City, Utah, by VerticalNews correspondents, research stated, "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."
Our news editors obtained a quote from the research from the University of Utah, "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."
According to the news editors, the research concluded: "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."
For more information on this research see: pSCANNER: patient-centered Scalable National Network for Effectiveness Research. Journal of the American Medical Informatics Association, 2014;21(4):621-626. Journal of the American Medical Informatics Association can be contacted at: Bmj Publishing Group, British Med Assoc House, Tavistock Square, London WC1H 9JR, England.
The news editors report that additional information may be obtained by contacting L. Ohno-Machado, University of Utah, Dept. of Med, Salt Lake City, UT 84112, United States. Additional authors for this research include Z. Agha, D.S. Bell, L. Dahm, M.E. Day, J.N. Doctor, D. Gabriel, M.K. Kahlon, K.K. Kim, M. Hogarth, M.E. Matheny, D. Meeker and J.R. Nebeker.
Keywords for this news article include: Utah, United States, Salt Lake City, North and Central America, Health and Medical Informatics
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