Case Study: How Sana Benefits Scaled Care Navigation
As Sana scaled its care navigation model, fragmented provider data slowed referrals and limited growth. By partnering with Candor, Sana replaced disconnected data sources with a single, continuously validated provider intelligence platform, cutting referral time in half and enabling faster, more reliable care navigation at scale.
The results below show how improving provider data accuracy through AI-native provider intelligence can directly impact care navigation performance. As health plans scale, reliable, continuously validated provider information becomes critical for reducing manual work, accelerating referrals, and supporting care teams without adding headcount.
Key Outcomes:
50% reduction in referral processing time
More than 50% increase in care navigation volume without additional headcount
Improved prioritization of high-value, contracted providers
One unified platform replacing 13 disconnected provider data systems
Sana Benefits strengthened its provider data foundation to support faster, more reliable care navigation as the organization scaled. By consolidating provider information into a single, continuously validated source, care teams reduced manual verification, improved referral efficiency, and delivered a more consistent member experience.
More Posts
CertifyOS Announces Partnership with Candor Health
Understanding the REAL Health Providers and No Surprises Acts
Redefining How Care is Found: A Smarter and Simpler Search