Key results
The company
Reveleer
reveleer.comAI platform for healthcare risk adjustment and quality improvement workflows.
Result highlights
- Up to 50% noise reduction vs legacy NLP
- Logic updates in minutes vs months
The story
A value-based care platform processes patient histories that often span thousands of files, including handwritten notes, lab reports, and fragmented electronic records.
Physicians have only minutes to review these complex records before appointments, yet legacy NLP tools generated excessive noise and false positives. This forced clinicians to waste time filtering irrelevant findings instead of addressing high-value care gaps.
The company built an agentic pipeline using Gemini Flash and Flash-Lite to extract and standardize evidence from unstructured charts. This standardized data feeds into deterministic formulas that surface explainable risk predictions directly within the physician's workflow. BigQuery stores the logic and evidence to ensure every recommendation is audit-ready and traceable to source documentation.
Quotes
“Doctors often have just a couple of minutes to review a patient’s history and understand the highest value care gaps before an appointment. Giving them the most accurate, highest value, and easily digestible information at the point of care enables them to focus on the patient.”