Events
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Break through the member engagement barrier with AI and innovative advocacy models
Speaker: Meredith Rutala Williams, Senior Product Portfolio Manager, Geneia
Date: June 28, 2021.
Duration: 1 hour
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.
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Machine Learning Week
Population-level risk stratification of hypertensive patients
Presenter: Sricharan Bandhakavi, Principal Data Scientist, Geneia
On-demand webinar
Recorded on May 24-28, 2021.
Duration: 1 hour
Hypertension affects one in three American adults and can contribute to devastating complications, including heart attack, stroke, and end-stage renal disease.
Using nationwide administrative claims data, Geneia data scientists developed a three-step approach to identify and risk-stratify hypertension member groups based on being ‘challenging to treat’ or ‘at risk for hypertension complications’. In this recorded presentation, Geneia Principal Data Scientist Sri Bandhakavi provides an in-depth review of this patent-pending predictive modeling approach and discusses how it supports risk stratification and management of hypertension members.
Presenter
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
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.
Speaker
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