Predictive Analytics:
Accurate and Actionable
In any population, be it a community, a health plan, an employer, an educational institution, even a faith community, there are those with undetected, uncontrolled, or misdiagnosed chronic conditions. Not only do they represent a guaranteed financial risk, with COVID-19, their risk of catastrophic health events, even death, is many times higher.
Just as important as identifying chronic disease risk is helping communities understand their COVID-19 risk.
Decode Health uses unique data structuring and modeling techniques to identify and track disease risk resulting in actionable insights to help those who care for chronic disease populations. And actionable insights to help communities mitigate COVID-19 spread.
How We Do It
Tackling chronic disease and COVID-19 accurately requires the investigative minds of immunologists AND the analytical speed, scale and efficiency of machine learning.
Decode Health is one of the few companies in the world that has both. That’s what sets us apart.
RECEIVE
Client sends healthcare claims and other structured data
ENRICH
Decode layers its proprietary data + social determinants of health
ANALYZE
Decode trains, tests, and optimizes models to uncover patterns and score populations
DELIVER
Decode identifies at-risk patients and delivers actionable information to care teams
ACT
Care teams engage at-risk patients to provide education and impact treatment plans
The Bottom Line
Example: Autoimmune Disease Cost Savings Analysis
$5K
Average total healthcare
spend PMPY
$15K – $125K
Range of autoimmune
spend PMPY
20+%
Savings potential
on annual autoimmune spend
3-5X
Projected ROI
using Decode’s platform
Find Your Chronic
Disease Problem
Sample Impact from Autoimmune Disease
- Up to 16% of your managed population has one of the diseases and conditions we detect and monitor.
- They cost your plans and employers millions.
- Savings from correcting misdiagnosis is significant in the first year.
- 25% of claims are categorized with ill-defined R diagnosis codes and some of that population will likely have an autoimmune or chronic disease.