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World Congress Webinar Member Engagement June 28

Break through the member engagement barrier with AI and innovative advocacy models

On-demand Webinar
Duration: 1 hour

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Despite the high value of member engagement, 37% of all members and nearly 50% of pre-boomers and boomers had 0% engagement with their health plan in 2020.

Join industry experts and explore how health plans can leverage and augment existing resources to improve member engagement and satisfaction. Panelists discuss:

  • Examples of real-world strategies used to engage members across all risk tiers.
  • How to optimize the critical first point of contact.
  • Insights around active support and advocacy for targeted rising- and high-risk members.
  • How to demonstrate increased value to employers.

    Speakers  View all bios >

    Meredith Rutala Williams
    Kate Duncan
    Laurie Evans
    Karen Way
    Using Predictive and Prescriptive Analytics to Manage the Health Impacts and Costs of Chronic Conditions

    Using Predictive and Prescriptive Analytics to Manage the Health Impact and Costs of Chronic Conditions

    Speakers: See below

    On-demand webinar
    Duration: 1 hour

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    In partnership with World Congress Healthcare, we are excited to present this timely topic.

    As more than 75 percent of adults who have deferred or forgone care during the pandemic had one or more chronic conditions, prioritizing care management for the chronically ill has never been more important.

    During this discussion, hear how payers and their provider partners are integrating analytics and care management to target timely interventions to high-risk, rising-risk and the most impactable members.

    Join us to learn about analytic models designed to manage the health impacts and costs of chronic conditions:

    • Understand data and variables that deliver highly accurate predictions
    • Examine key findings for models that predict the onset of type 2 diabetes, and models that predict complications of diabetes, heart failure and hypertension
    • Hear an example of how a plan prioritized care management resources based on analytics
    • Discover six best practices for integrating analytics into population health initiatives


    Natalie Benner
    Jasmine McCammon
    Machine Learning Week Event 1
    Machine Learning Week 

    Build more models faster:

    An automated machine learning pipeline to predict the onset of major chronic diseases

    Speaker: Zhipeng Liu, Principal Data Scientist, Geneia

    Recorded on May 25, 2021
    Duration: 12 minutes

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    Join Zhipeng for a live review of Geneia’s automated pipeline for building machine learning models from healthcare claims data with little or no manual intervention.

    He’ll discuss:

    • The pipeline’s conception,
    • How it speeds model production by ~100 times while maintaining accuracy and interpretability, and
    • An application: a series of models to predict major chronic disease onset.


    Zhipeng Liu
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