Description: Carol McCall led three teams – predictive analytics, health economics and outcomes research, and personalized medicine. The “river running through them” was that they all leveraged data. Her predictive analytics team eventually built a broad portfolio of models with some of them having a significant impact on Humana’s top and bottom lines.

Description: The SOA provides information about the actuarial career path in health care and predictive analytics. Throughout 2016, we will share more about actuaries who are tackling some of the industry's biggest challenges and hear from top employers in healthcare analytics.

Description: Twenty years ago Steve Tutewohl’s clients were taking bold risks with limited information, little analytical support and hardly any data. As an actuary working on the provider side, Tutewohl started out in a traditional role in an untraditional environment. In his early years at Valence Health he was focused on educating, informing and bringing knowledge to providers so they could level the playing field with payers when they were negotiating and managing risks. Today Tutewohl’s clients have “data that is above and beyond what the payer has.”

Description: question and look for ways to make improvements on things by making them more efficient and intuitive. Mehmud did not study actuarial science in school. He earned a degree in mathematics and physics while taking courses like Asian history and skeptical thinking. In retrospect, he said, his exposure to a liberal arts education allowed him to view problems with a multifaceted perspective.

Description: After a decade of traditional actuarial work in health care, David Sotelo was seeking a new kind of opportunity to make an impact. He found it at Collective Health, where he works with a team of actuaries and data scientists that use analytics to streamline health insurance.