Accelerating Data Discovery for Better Health

Speaker:  Laura M Haas – San Jose, CA, United States
Topic(s):  Information Systems, Search, Information Retrieval, Database Systems, Data Mining, Data Science

Abstract

The volumes of healthcare data are sky-rocketing, and new sources and types of patient, biology, medical and contextual information are proliferating; we can now get more data on patients and disease than ever before. But that data is only valuable for the insight that can be gained from it – insights that let us better address both medical and business challenges, for example, improving treatments, understanding the basic science of disease, or reducing hospital re-admissions. There is a real opportunity to harness this data and dramatically change the practice of medicine, but to do so, we must do more than capture information.  We must correlate and align information across sources, extract meaning from it, and leverage that meaning to create value.  This talk will describe some of the challenges of capturing, integrating, and analyzing healthcare information and some of the progress that has been made in terms of runtimes and tools to support these tasks, as well as some ongoing research in this space. We will highlight some successful applications of these technologies, and close with a proposal to advance the state of the art in these technologies and in their application.

About this Lecture

Number of Slides:  16 or 23
Duration:  30 or 60 minutes
Languages Available:  English
Last Updated: 

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