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Oral Candidacy - Keith Feldman

Start: 4/11/2017 at 9:00AM
End: 4/11/2017 at 12:00PM
Location: 315 Stinson Remick
Attendees: Faculty and students are welcome to attend the presentation portion of the defense.
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Keith Feldman
Oral Candidacy
             April 11, 2017         9:00 am         315 Stinson Remick
Adviser:  Dr. Nitesh Chawla
Dr. Ron Metoyer        Dr. Christian Poellabauer        Dr. Annie Rohan


The Emerging Role of Informatics in Healthcare: Deriving Meaningful Insights in an Era of Big Data


From the interaction between patients and clinicians, to resource allocation, and changes in the billing and claims processes, it is clear that technology is transforming aspects of care across the healthcare industry. Driven by the increasing availability of data, improved analytical techniques, and increasing computational power, research in the field of healthcare informatics has flourished over the past decade. The ability to extract, manipulate, and analyze data from millions of individual entities across the globe provides a wealth of opportunities for complex analysis of both the practice and administration of healthcare. 

As health-centric data continues to be generated at unprecedented volume, at high velocity, from a variety of sources of questionable veracity, the ability of informatics models to process this data is not yet enough to ensure their effective use. Beyond an understanding of the technical underpinnings, deriving accurate and informative clinical insights requires a deep consideration of the clinical processes from which the data is obtained, and the settings in which the insights are intended to be utilized. 

This proposal will present research addressing three aspects of informatics as they relate to healthcare. It will begin from an operational standpoint, addressing the complexities of the data and models themselves. Moving next to a clinical perspective, it will detail how data collected through established clinical workflows can be utilized to glean insights into the care process. Finally it will demonstrate how informatics can be applied to population data to not only provide personalized insights, but formulate new research questions.