Boston, MA
Westin Copley Place
June 13-14, 2019

Stephen Blackwelder

Chief Analytics Officer
Duke University Health System

Stephen Blackwelder is chief analytics officer at Duke University Health System where he co-leads Duke Health’s Analytics Center of Excellence. The center is the shared services information and analytics hub for the health operations and clinical data Duke relies upon daily in its care delivery, health data science, research and education missions. As the executive responsible for data warehousing, business intelligence, clinical information delivery and healthcare-related financial reporting, he leads teams supporting a flexible and responsive data infrastructure ranging from traditional BI to data science use cases. The Analytics Center of Excellence uses an innovative agile service delivery model to simultaneously advance project and infrastructure work in close collaboration with stakeholders and with the support of an extensive and engaged governance structure. Stephen previously designed and deployed one of the industry’s first secure cloud-based data warehouses to be comprised from the patient’s “neighborhood care community” alongside claims and clinical information, lab results and pharmacy scripts.

June 13, 2019
11:50am - 12:10pm
America Ballroom

The recent entrance of Apple, Amazon, Berkshire-Hathaway and Facebook into a healthcare landscape populated by health systems, pharma, bio manufacturers, and insurance plans already generating 20% of the U.S. GDP suggest the industry is ripe for further analytics development.

With that scenario as the backdrop, in this last session on "the road to analytics maturity," Stephen Blackwelder, chief analytics officer at Duke University Health System, draws on his deep experience and expertise to addresses two key questions:

  • How can we use advanced analytics to support health improvement?
  • And, how do we transition to this new world of machine learning and AI where the computer does more of the thinking for us?

As Stephan will discuss, whether it’s analytics, machine learning or AI, the computer may do a lot more, but people must map the knowledge to the operational process so that realistic treatment options can be recommended.

June 13, 2019
12:10pm - 12:30pm
America Ballroom

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