📦 Recommendation Engines & Learning Systems

Recommender systems have revolutionized how we shop, watch, and search — powering platforms like Amazon, Netflix, and Google. These systems don’t just respond to users — they learn from them and shape what happens next.

At CALIBER360 Healthcare AI, we asked a bold question:

Hospitals collect vast amounts of patient feedback — from CAHPS and HCAHPS to rounding tools and post-discharge surveys. Yet, this rich data is almost always used retrospectively, long after the care is delivered.

• 🔁 Feedback is analyzed to explain the past — not to improve the future.
• ⚠️ The next patient is treated like the first — even if we’ve heard from thousands like them before.
• 📉 Patient preferences and expectations are ignored in real-time workflows.

💡 Our Innovation: The CALIBER360 Learning System

We bring the power of recommender intelligence to healthcare — turning past feedback into real-time guidance using collaborative filtering and generative AI.

This system delivers point-of-care recommendations to:

• ✅ Clinicians
• ✅ Frontline staff
• ✅ Experience teams

Imagine treating the next patient as if you already know them — because in many ways, you do.

This award-winning innovation was recognized at the Healthcare Analytics Summit — and it’s available for demo and deployment.

📍 Don’t Just Collect Surveys — Learn From Them

Whether in clinical operations, discharge planning, care navigation, or digital front doors — this technology can supercharge how you deliver care.