Felix Diagnose AI

Felix Diagnose AI empowers its users to  Predict, Prevent, and delay the onset of chronic conditions for their patient populations. With Felix Diagnose AI, you can identify at-risk patients in as little as 5 days.

Explore how our AI deep learning models can predict and prevent the risk of chronic conditions such as early-onset Diabetes, COPD ED visits, Congestive HF readmission, Coronary Artery Disease, etc. faster than any other population health management analytics provider.  Unlike other market leaders, we can work with sparse data to make remarkable predictions.

Features

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Identify
Patients

Identify Patients at risk of developing chronic condition

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Cluster
Analysis

Perform a variety of analyses on the cluster to fit the patients on the appropriate on the disease progress curve

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Disease
Prevention Plan

Help clinicians to quickly create a disease prevention plans to avoid or delay a chronic condition prognosis

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Alignment of
Resources

By allowing the engine to provide insights, clinical care managers and others can be freed from data analysis to spending time with patients to better mitigate and manage chronic

Use Cases

case study

Diagnose AI for Population Health

With an increased emphasis on
value-based care, it is more
important than ever to proactively
identify health conditions
that can become chronic.

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case study

Diagnose AI for Payors and ACO’s

Patient-centered care is not just for hospitals. Members and employers entrust their insurance company and ACOs to be for them at critical times, including proactive care management.

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