How Proactively Engaging Members Reduces Risk and Improves Outcomes

Linda Hand, Chief Executive Officer at Prealize Health

How Proactively Engaging Members Reduces Risk and Improves Outcomes

In this episode, Linda discusses how her company enables organizations with actionable insights that impact population health down to individual level through state-of-the-art AI-enabled data science. She also shares insights on proactive healthcare, numerous advantages of using machine-learning, and predictions regarding the impact of Covid-19 in healthcare. Tune in for an amazing interview with Linda Hand!

How Proactively Engaging Members Reduces Risk and Improves Outcomes

Linda Hand

Linda is the CEO OF Prealize, formerly known as Cardinal Analytix. She brings 35 years’ experience to her role as CEO, with an emphasis on organizational leadership, product development, solutions delivery, and go-to-market strategies across a diverse portfolio of industries. She has additionally provided management consulting services to several emerging enterprises and venture capital firms.

Before joining Prealize, Linda led the Clinical Trial Optimization Solutions division at IQVIA, where she was responsible for creating and delivering a suite of innovative clinical technology products, fueled by predictive analytics and machine learning algorithms, to drug development organizations worldwide.

Linda is a past President and CEO of the San Francisco-based DecisionView, the leading provider of clinical trial enrollment optimization solutions. She also ran product development and delivery at several leading software companies, including DigitalThink, Hyperion, Arbor Software, and Sybase.

Linda holds a BA in Computer Science from the University of California, Berkeley, and completed the Haas School of Business Executive Program.

Website: https://www.prealizehealth.com/


In this episode, you’ll learn:

  • How advanced prediction and data science combined with healthcare can reduce costs and improve health to the individual member level.
  • How to leverage AI solutions to solve population health
  • How to mitigate patient and organization needs