Panelists for the event How Will Data Analytics Shape Health Care: Patrick Roohan of MVP, Meghan Morrissey of HANYS and Eyyub Kibis of The College of Saint Rose

Register for the Event

The cost and accessibility of health care is a front-burner issue for many Americans. While advances are being made in medicine, efforts to ensure health care is delivered efficiently and effectively are leading to new job growth within the field: data analytics.

What can a hard look at the numbers do? Find out at the March 22 panel, “How Will Data Analytics Shape the Future of Health Care?,” held at The College of Saint Rose. Moderated by Mark Eagan, CEO of the Capital Region Chamber, the event brings together industry leaders to discuss the role of data analysis in their areas of health care.

The panel discussion, held in the Touhey Forum, Thelma P. Lally School of Education, 1009 Madison Avenue, Albany, is free and open to the public. Doors open at 7:30 a.m., with the program beginning at 8 a.m. Light breakfast refreshments will be served, and free parking will be available. Sign up at https://healthcaredata.eventbrite.com.

Panelists include:

  • Patrick Roohan, Vice President of Data Management and Analytics Solutions at MVP: Roohan has dedicated his career to harnessing the power of data in ways that improve the quality and delivery of health care. With 30 years of leadership experience at the New York State Department of Health, he is helping MVP Health Care build market-leading data and analytics capabilities.
  • Meghan Morrissey, MPH, Data Analyst at Healthcare Association of New York State (HANYS) Solutions: In her role, Morrissey provides data analytics services for the health care planning and marketing tool Market Expert®, offering health care organizations information and analysis about the communities they serve and their competitive marketplace.
  • Dr. Eyyub Kibis, Assistant Professor of Business Analytics at The College of Saint Rose: Kibis is the faculty member leading the new business analytics master’s degree program at The College of Saint Rose. In his career, he has researched mathematical programming models, large-scale optimization approaches, and data-mining methods for the control and treatment of infectious diseases, invasive species, and cancer.