BIG DATA & HEALTHCARE ANALYTICS: A HIMSS EVENT

Boston, MA
Oct. 22-23, 2018

Ari Robicsek

Chief Medical Analytics Officer
Providence St. Joseph Health

Ari Robicsek is chief medical analytics officer at Providence St. Joseph Health in Seattle. His passion is the use of data science to improve care quality, efficiency and consistency. Projects have included predictive modeling to target high risk patients, marketing analytics (e.g. A/B testing) to improve patient outreach and the development of a data architecture that allows large-scale measurement of healthcare value (i.e. outcomes and costs) in a manner that resonates with clinicians and allows optimal practices to be pinpointed. This last item is an area of particular focus at Providence St Joseph Health.

Perviously, at NorthShore University HealthSystem, his team’s work was key to a number of awards, including placing first in the 2013 Healthcare Informatics Innovator Awards, ranking in the 2014 Information Week Elite 100, being named to the 2016 CIO Magazine CIO 100, and becoming the first system in the US to earn ambulatory HIMSS Analytics Stage 7. In 2017 he was one of Health Data Management's Top 25 Physician IT leaders.

October 22, 2018
10:45am - 11:15am
America Ballroom

At Providence St. Joseph Health, a 51-hospital healthcare system, Chief Medical Analytics Officer Ari Robicsek, MD, and his team have developed a ‘people, process and technology’ platform to measure and report on care value in a way that is meaningful to clinicians. The team’s deep relationship with providers, clinically-oriented data architecture and iteratively improved visualizations have resulted in a system that makes it much easier than before for clinicians to learn from each other and act on those insights. The result: a culture shift, in which administrators and physicians partner productively to optimize care value.

In this session, no matter your level of analytics maturity, Dr. Robicsek will provide insights into how, with even a basic infrastructure, healthcare organizations can identify and remove waste in inpatient care.

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