Michael Houck, MS

Healthcare Data Scientist, Analytics, Albany Medical Center

Michael Houck is a Healthcare Data Scientist at Albany Medical Center which is northeastern New York’s only academic health sciences center. Michael is responsible for the design, development, and deployment of analytics and business intelligence capabilities that enable clinical and administrative leadership to make data-informed decisions in support of Albany Medical Center’s mission-oriented activities. His expertise and demeanor allow Michael to collaborate and consensus-build across the workforce with the same poise whether with the front-line caregivers or members of the C-suite. Prior to joining Albany Med, Michael served as a BI Analyst with IBM. He is dedicated to continuous process improvement through reducing inefficiencies, automating processes, and rapidly delivering innovative solutions. He has over fifteen years’ experience delivering elegant data solutions following a data science framework of business understanding, data understanding, statistical analysis, and data storytelling. Michael earned a bachelor’s and master’s degrees in computer science from Tufts University.

Speaker Sessions

31. The Analytics Emergency: Rapid Deployment of a Real-Time, Analytics-Enabled Incident Command

(Analytics Best Practices, Innovative Data and Analytics Transformation — Course Level: Advanced)

Responding to the COVID-19 pandemic materially amplified our necessary speed from question to answer and from problem to solution. The dynamic needs of leadership across the academic medical center are now met by enhancing the existing analytics platform with near-real-time data flows and dashboards. This session will describe the processes and lessons-learned of rapidly deploying an end-to-end analytics solution to deliver data for predictions, lab testing, contact tracing, employee health, and “live” situational awareness for the COVID-19 Incident Command.

Thank You for a Great Virtual Summit! See You Next Year for HAS 21.

Replay HAS 20 Virtual

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