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AuthorAziz, Hassan A.
Available date2016-10-10T09:48:20Z
Publication Date2016-10
Publication NameLaboratory Medicineen_US
Identifierhttp://dx.doi.org/10.1093/labmed/lmw038
CitationAziz, Hassan A. "Handling Big Data in Modern Healthcare" (2016) Laboratory Medicine, 47:4 e38-e41
ISSN0007-5027
URIhttp://hdl.handle.net/10576/4859
AbstractThe constant growth of medical knowledge and the increases in specialization in clinical practice have created a significant need to share and access patient information with speed and efficiency. However, current technology is centered on processing data, rather than gathering information. To realize the potential of modern technology in improving patient health, merely collecting and storing data are insufficient: one must convert these data into information and knowledge. In this article, I present an overview of 2 recent advances in technology and their assimilation into the practice of medicine, in the attempt to make clinical data meaningful and then to learn from aggregated clinical data. We address the emergence of clinical data warehouses (CDWs) and health information exchanges (HIEs), as features of the Health Information Technology for Economic and Clinical Health (HITECH) Act. This act, enacted in the United States as part of the American Recovery and Reinvestment Act of 2009, was signed into law on February 17, 2009, to promote the adoption
Languageen
PublisherOxford University Press
Subjectclinical data warehouses (CDW)
Subjecthealth information exchanges (HIE)
SubjectHealth Information Technology for Economic and Clinical Health
Subjectelectronic health records
Subjectregional health information organizations
TitleHandling Big Data in Modern Healthcare
TypeArticle
Issue Number4
Volume Number47
dc.identifier.essn 1943-7730


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