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Event Type:  Lecture
Title:  Computer Assisted Coding and Beyond: An Academic's Adventures with Clinical Natural Language Processing in the Real World
Description:  Medical coding is the process of translating clinical records into reimbursement codes, the basis for how clinicians get paid for their work. Computer assisted coding is on the rise in the healthcare revenue cycle, as organizations struggle with a shortage of qualified coders, increasing pressure to find financial efficiencies, and the near-term prospect of a wholesale redefinition of diagnosis coding standards. As a problem to work on, coding is in some respects an NLP researcher's dream come true. In other respects, it is the stuff of nightmares, or at least of long, sleepless nights.

In this talk, I will discuss my experience as an academic helping to create technology to process clinical records outside the comfortable confines of a research setting. In the process, I will also talk about opportunities and risks in the quest for universal electronic health records, some dangers in controlling the medical vocabulary, and how language technology may be the solution.

Philip Resnik is a professor at the University of Maryland, holding joint appointments in the Department of Linguistics and at the Institute for Advanced Computer Studies. He received his bachelor's degree in Computer Science at Harvard in 1987, and his PhD in Computer and Information Science at the University of Pennsylvania in 1993, and he has worked in industry R&D at Bolt Beranek and Newman, IBM T.J. Watson Research Center, and Sun Microsystems Laboratories. Dr. Resnik's research focuses on combining knowledge-based and statistical methods for natural language processing, with applications in machine translation, translation crowdsourcing, and computational social science. His current work is supported by NSF, DARPA, IARPA, ARL, and a Google Research Award. Outside academia, he serves as strategic technology advisor for CodeRyte Inc., the nation's fastest growing provider of NLP solutions in healthcare, and as lead scientist for Converseon, a leading social media consultancy.
Series Name:  NLM Informatics Lecture Series
Videocast:  Event will not be videocast
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Tuesday, June 28, 2011   11:00am - 12:00pm Add To Outlook Calendar     Add To iCal Calendar     Add To Entourage Calendar
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Name:   Philip Resnik
Title:   PhD
Organization:   University of Maryland
City/Province:   College Park
State:   Maryland
Country:   USA

Organization(s):  [NIH] National Library of Medicine (NLM)

Location:  On the main NIH Campus
Building:  Building 38A, Lister Hill Center
Room:  Visitor Center
Street Address:  3600 Rockville Pike
City:  Bethesda
State:  Maryland
Zip Code:  20894

Name:   Karen Steely
Phone:   301-435-3137
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