Kenneth Kolenik
Senior Business Program Manager, Healthcare, Nuance Healthcare

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Ken Kolenik is a Senior Business Program Manager for Nuance Communications, Inc., responsible for product management of Nuance’s Clinical Language Understanding technology and the application of that technology with the University of Pittsburgh Medical Center’s (UPMC) Technology Development Center and other strategic clinical partners. Over the past 16 years, Ken has defined and commercialized technology to increase the value of data and improve business process.

Prior to Nuance, Ken was Director of Product Management at invivodata, Inc., where he developed solutions for the pharmaceutical industry to bring new drugs to market faster and with fewer issues through improved accuracy and validity of clinical trial data collected from patients and clinicians. Ken also has extensive experience with speech applications and using speech interfaces and data to improve business. As a product manager at Vocollect, Inc., Ken defined and delivered improved accuracy and productivity for industrial and mobile workers through voice-directed work applications. Ken has used his expertise with technology, data, product management, and product marketing to bring products to commercialize products across various industries throughout the world.

Ken holds a BA in Journalism from Penn State University and an MBA from the Duquesne University School of Business.

Sessions

Sponsored Sessions
Location: Yosemite C
Josh Wills (Cloudera), Kenneth Kolenik (Nuance Healthcare), Jake Marcus (Practice Fusion), Jacob Miller (Explorys), Nigam Shah (Stanford School of Medicine)
Average rating: ****.
(4.00, 1 rating)
Even with the advent of sophisticated EHR systems, the vast majority of information about patient care is still recorded as free text, and this seems unlikely to change in the near future. This panel will discuss the path towards the meaningful use of natural language processing to improve patient care and clinical outcomes, both intrinsically and as a necessary input for predictive analytics. Read more.

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