Title of Paper

Transforming the Health & Life Sciences Ecosystem through Advanced Analytics

Session Type

Keynote

Topic

Healthcare Innovations using Emerging Technologies

Location

Auditorium

Start Date

30-10-2015 2:00 PM

End Date

30-10-2015 2:50 PM

Abstract

Bio: With a career spanning clinical research, organizational development and enterprise information technology, Jason Burke’s current work focuses on health industry transformation through strategy design, data sciences and emerging technologies. He is senior advisor for innovation and advanced analytics at the University of North Carolina School of Medicine and the UNC Healthcare System’s Center for Innovation, as well as a principal at Burke Advisory Group. Previously, Burke was the founder, managing director and chief strategist for the SAS Center for Health Analytics and Insights, an industry-leading think tank pioneering novel approaches to health informatics. He also served as SAS’ global head of health and life sciences technology research and development, as well as founder of the software firm’s health and life sciences global practice. Burke has held strategy and management roles in organizations such as Microsoft, Quintiles Transnational and GlaxoSmithKline. Burke is a cognitive neuroscientist by training, holding degrees from Virginia Tech and the University of Missouri – Columbia.

Abstract: A modern health enterprise, where business and clinical decisions are powered by advanced analytics, stands in stark contrast to the existing status quo across health and life sciences today. Existing approaches to informatics, based in descriptive views of limited data sources, are incapable of supporting the sophisticated insights needed to optimize the tradeoffs between health outcomes and costs, and between standardized medical treatment plans and more personalized care practices. As discussed in the book Health Analytics: Gaining the Insights to Transform Health Care (Wiley, 2013), the health industry’s analytical lens must shift from the retrospective, presumptive, and population-oriented practices and policies commonly used today towards collaborative, data-driven, predictive, patient-centered, and real-time engagement oriented processes.

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Oct 30th, 2:00 PM Oct 30th, 2:50 PM

Transforming the Health & Life Sciences Ecosystem through Advanced Analytics

Auditorium

Bio: With a career spanning clinical research, organizational development and enterprise information technology, Jason Burke’s current work focuses on health industry transformation through strategy design, data sciences and emerging technologies. He is senior advisor for innovation and advanced analytics at the University of North Carolina School of Medicine and the UNC Healthcare System’s Center for Innovation, as well as a principal at Burke Advisory Group. Previously, Burke was the founder, managing director and chief strategist for the SAS Center for Health Analytics and Insights, an industry-leading think tank pioneering novel approaches to health informatics. He also served as SAS’ global head of health and life sciences technology research and development, as well as founder of the software firm’s health and life sciences global practice. Burke has held strategy and management roles in organizations such as Microsoft, Quintiles Transnational and GlaxoSmithKline. Burke is a cognitive neuroscientist by training, holding degrees from Virginia Tech and the University of Missouri – Columbia.

Abstract: A modern health enterprise, where business and clinical decisions are powered by advanced analytics, stands in stark contrast to the existing status quo across health and life sciences today. Existing approaches to informatics, based in descriptive views of limited data sources, are incapable of supporting the sophisticated insights needed to optimize the tradeoffs between health outcomes and costs, and between standardized medical treatment plans and more personalized care practices. As discussed in the book Health Analytics: Gaining the Insights to Transform Health Care (Wiley, 2013), the health industry’s analytical lens must shift from the retrospective, presumptive, and population-oriented practices and policies commonly used today towards collaborative, data-driven, predictive, patient-centered, and real-time engagement oriented processes.