Mark Pitts

Mark Pitts

Job Title: Chief Analytics & Data Officer and Senior Vice President

Company: Excellus Blue Cross Blue Shield

Mark Pitts is Chief Analytics & Data Officer and Senior Vice President of Lifetime Healthcare, a $6.9 billion family of companies financing and delivering health care services in Upstate New York, including Excellus BCBS Healthplan – serving over 1.8 million members. Pitts has over 25 years of healthcare experience in both payer and provider organizations. In his seven years with UnitedHealthcare, Mark built the UHC Data Science function from the ground up, including the creation of an innovative and award-winning data & analytics platform, and pioneered the application of machine learning and unstructured data analysis to health care challenges. Mark also devoted 17 years to the University of Florida Health System, delivering technology and analytic solutions for both the UF Physicians Faculty Group Practice and Shands HealthCare, the hospital system of the University of Florida.

He is a sought-after public speaker on the subject of health care analytics, regularly appearing at events in North America and around the world. Many attendees comment on his ability to make technical topics accessible to everyone – with a sense of humor along the way. He has been interviewed, quoted, and featured in a variety of broadcast, print, and online publications, including Public Radio’s All Things Considered and the InformationWeek Advanced Analytics issue.

Mark studied computer engineering, graduated with honors from the University of Florida with Bachelor’s and Master’s Degrees in Accounting, and earned a Master of Science in Statistics with a dual emphasis in Applied Statistics and Biostatistics from Texas A&M University.

Speaking at the following:

2.15pm - 3.00pm
Discussion Group 1A: Leveraging Data Analytics to Improve Claims Decision-Making

Utilizing your data to improve efficiency in claims processing and shorten claims cycles What customer experience benefits can we gain by using data to improve claims? How can analytics and data science be used to more accurately identify fraudulent claims?

5.45pm - 6.00pm
8.30am - 8.45am