Let the Data Decide: Predictive Analytics in Healthcare

DDBD Ballroom CD
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In today’s data-driven age, healthcare is transitioning from opinion-based decisions to informed decisions based on data and analytics. Analyzing the data reveals trends and knowledge that may run contrary to our assumptions causing a shift in ultimate decisions that in turn will better serve both patients and healthcare enterprises. In addition to incredible opportunities, predictive analytics create some serious challenges due to the 5 Vs of Big data: Volume, Veracity, Velocity, Variety, and Value. Contrary to banking, marketing or IT, for example, Big data in healthcare are especially challenging with regards to Veracity, Variety, and Value. This talk illustrates our collaborative work with key stakeholders, including executive leadership, and describes a few representative, data-driven, and cost-effective projects.

Photo of Eugene Kolker

Eugene Kolker

Seattle Children's

Eugene Kolker is Chief Data Officer at Seattle Children’s and Head of the Bioinformatics & High-throughput Analysis Laboratory at Seattle Children’s Research Institute. In 2001, he co-founded OMICS: A Journal of Integrative Biology and served as its Editor-in-Chief through 2012. He is now Executive Editor of OMICS. In 2011, Eugene co-founded DELSA Global (Data-Enabled Life Sciences Alliance) a non-for-profit organization and serves as its President. In 2012, he co-founded the Big Data journal and serves as its Executive Editor. Dr. Kolker has more than 25 years of transdisciplinary experience in data analysis, integration and dissemination, predictive analytics, software and algorithm development, and informatics. Eugene is also an Affiliate Professor at the Departments of Biomedical Informatics & Medical Education and Pediatrics at the University of Washington School of Medicine, Seattle. His work is currently supported by NIH, NSF, the Robert B. McMillen Foundation, the Gordon and Betty Moore Foundation, and SCRI.


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