Cyft's Insights on Improving Care Management
Watch the Beacon Health Options Webinar:
Beacon Health Options, a leader in behavioral health management has been working with Cyft to improve their serious mental illness care management program. Rather than rely on traditional risk scores or past total medical expense, Beacon & Cyft are partnering to capitalize on the insights hidden in data sources not typically used in care management, such as health risk assessments and care management notes.
The resulting “Smart Lists,” identify the individuals most likely to benefit from specific interventions, allowing Beacon to make the most of their existing data and focus staff time and attention on the right members, at key points in treatment.
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Keynotes and Recordings
In this TEDx talk Dr. Leonard D'Avolio, Harvard Medical School Assistant Professor & CEO of predictive analytics company Cyft, explains why healthcare is 30+ years behind other industries when it comes to using data, the transformative potential of data in healthcare, and why data is now finally changing healthcare for the better.
Leonard, D’Avolio, Harvard professor and CEO of Cyft, explains how machine learning will change healthcare by focusing on solutions and working with organizational processes. This interview took place immediately after Dr. D'Avolio's keynote talk at HIMSS Big Data and Analytics Forum in San Francisco on May 15th, 2017.
Harvard Medical School Assistant Professor and CEO of Cyft, Dr. Leonard D'Avolio's keynote address to the HIMSS Big Data and Analytics 2016 Conference in Boston.
If you’re going to measure, as we know health care improvers must do, you’re going to generate data. If you’re starting to wonder what you’re doing with all your data, you might want to listen to this WIHI.
An overview of how better intervention targeting improves the effectiveness of care management programs. The whitepaper starts by providing an overview of how traditional risk scores and total medical expense (TME) approaches struggle to target resources to those most likely to benefit. Then it explores how new approaches to modeling risk that use all available datasources can dramatically improve intervention effectiveness.A primer for healthcare professionals considering how to use their data most effectively to succeed in value-based care. It provides an overview of the current state of analytics, pros and cons of different methods, and describes the application of machine learning-based approaches in support of value-based healthcare.