Journal of Pathology Informatics Journal of Pathology Informatics
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Year : 2015  |  Volume : 6  |  Issue : 1  |  Page : 9

Clinical laboratory analytics: Challenges and promise for an emerging discipline

1 Department of Laboratory Medicine, University of Washington School of Medicine, Seattle, Washington, USA
2 ARUP Laboratories; Department of Pathology, University of Utah School of Medicine, Salt Lake City, Utah, USA
3 Department of Pathology, Massachusetts General Hospital; Harvard Medical School, Boston, Massachusetts, USA
4 University of Mississippi Medical Center, Jackson, Mississippi, USA
5 Department of Laboratory Medicine, University of Washington School of Medicine; Department of Pathology and Laboratory Medicine, VA Puget Sound Health Care System, Seattle, Washington, USA
6 Department of Laboratory Medicine, Yale University School of Medicine, Seattle, Washington, USA
7 Centers for Disease Control and Prevention, Atlanta, Georgia, USA
8 Department of Laboratory Medicine, University of California, San Francisco, California, USA

Correspondence Address:
Brian H Shirts
Department of Laboratory Medicine, University of Washington School of Medicine, Seattle, Washington
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/2153-3539.151919

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The clinical laboratory is a major source of health care data. Increasingly these data are being integrated with other data to inform health system-wide actions meant to improve diagnostic test utilization, service efficiency, and "meaningful use." The Academy of Clinical Laboratory Physicians and Scientists hosted a satellite meeting on clinical laboratory analytics in conjunction with their annual meeting on May 29, 2014 in San Francisco. There were 80 registrants for the clinical laboratory analytics meeting. The meeting featured short presentations on current trends in clinical laboratory analytics and several panel discussions on data science in laboratory medicine, laboratory data and its role in the larger healthcare system, integrating laboratory analytics, and data sharing for collaborative analytics. One main goal of meeting was to have an open forum of leaders that work with the "big data" clinical laboratories produce. This article summarizes the proceedings of the meeting and content discussed.

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