About Brendon Kellner

Brendon tells Cyft’s Story. He has spent the last decade working to improve human health through biophysics research, policy analysis, and business leadership. Most recently, he led the marketing strategy and communications, product roadmap, and presales support team for PerkinElmer’s first natural language processing analytics solution. He holds a B.S in Physics & Philosophy from Northeastern University and M.S. in Management Science & Engineering from Stanford University.

Rethinking How to Measure “Risk” in Healthcare

A more technical post for those evaluating risk scores for care management, coupled with a real-world example. As healthcare moves toward taking on greater financial risk for keeping people healthy, it is critical for organizations to match people to the interventions they’re most likely to benefit from. This has traditionally meant using various risk scores that are based on claims data.

By | September 5th, 2017|Analytics, Real World Applications|

Risk Scores in Clinical Care- You’re Not From Around Here Are You?

These days, every care management / value-based care organization has a risk score to help target interventions. Unfortunately, these risk scores often frustrate clinicians by directing them to people who cannot benefit from an intervention – either the person is not actually headed for trouble, or the clinician already knew about that person. Why is that? It turns out most

By | August 28th, 2017|Analytics|

The Dangers of Claims Based on Claims

Healthcare is notorious for its lack of consistent and widely adopted data formats. The one consistent exception is the billing information exchanged between payors and providers. These files are often referred to as “claims.” Because of their ubiquity, many of today’s analytical approaches - from epidemiology to public health, actuarial sciences, business intelligence, and risk scores - rely heavily,

By | August 21st, 2017|Analytics, Real World Applications|

Leading Institutions to Focus on Improving Type 1 Diabetes Care with Machine Learning

Today, June 12, 2017, Children's Mercy Kansas City, Joslin Diabetes Center, Cyft Inc., and The Leona M. and Harry B. Helmsley Charitable Trust are proud to announce the creation of a new learning health system to improve the care of individuals diagnosed with type 1 diabetes (T1D). Starting in mid-2017, Children's Mercy and Joslin will deploy machine learning-enabled solutions to

By | June 12th, 2017|Company News, Press, Real World Applications|
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