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Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY

Decision-centricity: Operationalizing analytics and data science in health systems

Mike Berger (Mount Sinai Health System)
9:30am–10:00am Tuesday, 09/11/2018
Data-driven business management
 Location: 1E 10 Level: Non-technical
Secondary topics:  Health and Medicine
Average rating: ****.
(4.00, 1 rating)

Healthcare expenses are spiraling out of control in the United States. A combination of market drivers and market threats are forcing healthcare to transform very rapidly.

Mount Sinai Health has moved up the analytics maturity chart to deliver business value in new risk models around population health. Mike Berger explains how Mount Sinai designed a team, built a data factory, and generates the analytics to drive decision-centricity and explores examples of mixing Tableau, SQL, Hive, APIs, Python, and R into a cohesive ecosystem supported by a data factory. Mike also covers challenges faced and how Mount Sinai Health has overcome them as well as how it “builds to learn” by embedding the ability to measure usage and then correlating usage back to performance improvements as a reasonable proxy for the impact its analytics are providing.

Join Mike to see how an analytics team can help a business become more decision-centric through the use of data—and how skills like storytelling, creating explanations, testing counterfactuals, and delivery of effective visualizations can provide significantly more value than just reporting data and sending to your stakeholder’s inbox.

Photo of Mike Berger

Mike Berger

Mount Sinai Health System

Mike Berger is vice president of population health informatics and data science at Mount Sinai Health, where he delivers on the promise to transform Mount Sinai Health into the premier population health management health system in the New York metro area. His role includes developing and implementing data-driven clinical and actuarial decision support through the use of advanced analytics, machine learning, and timely operational BI. He has over 20 years of experience across a combination of large academic medical centers, payer organizations, entrepreneurial startups, and management consultancies. Mike is the cochair for the HIMSS Clinical and Business Intelligence Community and hosts a webinar series for analytics thought leaders. He was recently named a 2018 “top 50 data and analytics professional in the US and Canada” by Corinium Intelligence. Originally from Huntington Beach, CA, Mike holds a degree in industrial and systems engineering from USC, a healthcare project management certification from Harvard’s Graduate School of Public Health, and a master’s degree from NYU Stern.