On-Demand Webinar

How Ready-Made AI Accelerates Value From Health Data

On-Demand (Originally presented: Sept. 30 • 10 a.m. ET | 4 p.m. BST) • Cost: Complimentary

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About the webinar

The health care industry has an immense amount of data, but how much is going unused or underutilized? With ready-made AI and industry-specific models, health organizations can now transform those data assets into valuable insights.

One example is a medication adherence risk model. It’s estimated that only half of patients take their medication as prescribed. Ready-made AI applies a patented machine learning approach to identify patients at risk of nonadherence, improving patient outcomes and reducing financial losses.

Ready-made AI can also turn unstructured data – like medical documentation, patient communications or clinical notes – into consumable data optimized for downstream reporting and analytics, resulting in huge efficiency gains by augmenting manual reviews.

From operational and financial analytics to clinical risk predictions, AI is transforming the health industry to benefit patients, clinicians, and executive leaders.

Join this webinar to learn:

  • How to tackle business challenges with precision and efficiency using models built from decades of expertise.
  • How to confidently deploy AI to improve patient outcomes and reduce financial losses.
  • A scalable way to implement ready-made AI while meeting regulatory compliance requirements.

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About the experts


Alex Maiersperger (Moderator)

Principal Product Marketing Manager, SAS

Alex Maiersperger helps payers, providers and government health care systems create a healthier future through advanced analytics.

Outside of work, he co-founded and leads the Advancement League, an organization referred to as the “next generation of health innovators” by HLTH’s CEO Jonathan Weiner and known for its pioneering 24-hour Community Impact Competitions and the Young Health Leader Summit.

Before joining SAS, Maiersperger led consumer experience and value-based initiatives at Blue Cross NC and Geisinger Health, both on the provider and payer side.


Jennifer Hargrove

Sr. Data Scientist, SAS

Jennifer Hargrove works in the Applied AI and Modeling division at SAS, specializing in health care predictive modeling. She has published numerous scientific manuscripts in peer-reviewed journals and helped to develop a patented system for calculating medication adherence. She obtained a Doctor of Philosophy in Epidemiology from the University of North Carolina at Chapel Hill and a Master of Public Health in Epidemiology from the University of Alabama at Birmingham.


Heather Trimble

Principal Strategic Health Care Advisor, SAS

Heather Trimble is an Industry Consultant in the Health and Life Sciences division at SAS, focusing on challenges and opportunities in the health care payer market. Trimble spent 14 years in the managed health care space, building and owning products focused on reducing medical spending while maintaining quality outcomes. She holds an MBA from the Fuqua School of Business at Duke University and a BS in human factors engineering from the United States Military Academy.


Austin Noll

Principal Industry Consultant, SAS

Austin serves as the Principal Consultant for Health & Human Systems. He joined SAS after 13 years in Florida State Government roles where he most recently served as a Deputy Secretary over Medicaid. Austin also brings a technical background in project and program management, SAS development and solution design. He is passionate about inspiring others to dream big.

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