Case Study: Decode Health achieves rapid, scalable predictive modeling and faster healthcare insights with DataRobot

Decode Health Unlocks Better Patient Outcomes with AI

Decode Health, a healthcare AI company that combines genomic and other health data to anticipate patient needs, faced slow, manual predictive modeling—analyzing a single dataset could take two to three weeks and multiple data team members. To scale and speed its analytics, Decode Health turned to DataRobot, leveraging the platform’s AI Foundation, Predictive AI, and AI Governance capabilities.

DataRobot automated Decode Health’s end‑to‑end predictive workflow, enabling the team to build hundreds or thousands of models in days rather than weeks and freeing staff to focus on data strategy. With DataRobot, Decode produced same‑day COVID‑19 insights for public‑health planning, identified the highest‑risk Tennessee counties with 95% accuracy, and cut time‑to‑insight from weeks to hours—delivering faster, more cost‑effective, and better‑governed AI for improved patient outcomes.

Decode Health

Chase Spurlock

Chief Executive Officer