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conferenceseries
.com
Volume 3
Diagnostic Pathology: Open Access
ISSN: 2476-2024
Laboratory Medicine 2018
June 25-26, 2018
June 25-26, 2018 | Berlin, Germany
13
th
International Conference on
Laboratory Medicine & Pathology
Using Data Analytics To Target Preanalytical Errors And Achieve Higher Value-Added Outcomes
Aparna Jha Ahuja
BD Life Sciences - Preanalytical Systems, NJ, USA
D
ata analytics is evolving into a promising method to provide insight from large amounts of data into improving patient
outcomes and reducing healthcare costs. Since most of the information used by healthcare providers for medical decisions
is derived from laboratory testing, better use of the critical information within the laboratory’s data system can help to improve
efficiency as well. One application for data analytics is to target the errors encountered in the preanalytical phase. These errors
include patient/sample misidentification, hemolyzed/clotted specimens, insufficient specimen quantity, and improper test
ordering, all of which may increase costs and negatively impact patient care. Reducing these errors can contribute to higher
value-added patient outcomes (e.g., enhanced patient safety, fewer repeat blood draws). Additionally, incorporating data
analytics can also assess laboratory competency and identify opportunities for overall quality improvement.
Biography
Aparna Jha Ahuja, MD, is currently the Worldwide Vice President, Medical Affairs, BD Life Sciences - Preanalytical Systems, Franklin Lakes, New Jersey, USA.
She has more than two decades of laboratory experience, with hands-on experience in Biochemistry, Specialized Chemistry and Molecular Biology. She is a
recognized speaker, having presented at many laboratory medicine conferences. Her current focus is on the improvement of quality laboratory testing and
increasing awareness of the impact of the preanalytical phase on clinical diagnostic results.
Julie_Ravo@bd.comAparna Jha Ahuja, Diagn Pathol Open 2018, Volume 3
DOI: 10.4172/2476-2024-C1-002