MACHINE LEARNING & AI FOR HEALTHCARE: A HIMSS EVENT

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

Jacob Raciniewski

Manager, Enterprise Analytics Portfolio and Project Management Office
Cleveland Clinic

Jacob Raciniewski is an information technology and finance professional with 20+ years of experience in healthcare. 

He started at the Cleveland Clinic in 2008 and has helped direct the strategic planning and execution of multiple analytics and information management initiatives. Jacob has lead efforts leveraging multiple technologies such as Informatica, EPSi, Strata, Informatica, Tableau, Teradata and Hadoop while supporting the development of the Cleveland Clinic enterprise analytics platform.

In his current role as senior program director for enterprise analytics, Jacob has overseen the implementation of lean improvement methodologies and the transition to an Agile work team approach.  

Jacob’s efforts within enterprise analytics have always been focused on ensuring that all employees have appropriate access to trusted data & actionable insights and the capability to act on those insights. 

Jacob holds a Bachelor of Information Systems and Master of Business Administration from Cleveland State University.  He also holds a Master Degree in Theological Studies from Trinity International University.

June 13, 2019
3:15pm - 3:50pm
America Ballroom

In 2014, the Cleveland Clinic embarked on an enterprise analytics (EA) strategy to maintain leadership in the market and allow the organization to compete with the emergence of value-based care. To be successful, two critical shifts needed to happen within the organization. One, the strategy could not just focus on technology. Clinical and business leaders needed to play an integral role in driving success and recognizing value.

In this session, attendees will hear how the clinic developed a strategy based on four pillars - data, people, process and technology - and aligned to enterprise strategic initiatives. But to succeed, the organization had to change its philosophy and valuation of the data. Data needed to be managed as an enterprise asset and an investment. A story framework was created, describing the value of analytics, to ensure the board of directors and executive leadership understood the investment and endorsed the strategy. 

Key Takeaways

  • Describe the four pillars that serve as the basis for an enterprise analytics program
  • Explain the story framework necessary to get C-Suite and Board endorsement
  • Discuss use cases that highlight the “why” of analytics rather than the “how”
  • Show hard dollar savings from investments in data and analytics platforms

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