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Kawasaki disease informatics

Rachel D Melamed, Hossein Khiabanian, Raul Rabadan
BACKGROUND: Patterns of disease incidence can identify new risk factors for the disease or provide insight into the etiology. For example, allergies and infectious diseases have been shown to follow periodic temporal patterns due to seasonal changes in environmental or infectious agents. Previous work searching for seasonal or other temporal patterns in disease diagnosis rates has been limited both in the scope of the diseases examined and in the ability to distinguish unexpected seasonal patterns...
2014: BMC Bioinformatics
Lucila Ohno-Machado, Zia Agha, Douglas S Bell, Lisa Dahm, Michele E Day, Jason N Doctor, Davera Gabriel, Maninder K Kahlon, Katherine K Kim, Michael Hogarth, Michael E Matheny, Daniella Meeker, Jonathan R Nebeker
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...
July 2014: Journal of the American Medical Informatics Association: JAMIA
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