Through data engineering, medical data enrichment and pattern discovery with resulting predictions, we do more with data as we strive to make healthcare smarter. Slide the < > handle below to see how we transform data into insights in four stages:
to Patient Records
Patient events (claims, labs, drugs and procedures) are structured into FHIR, a standardized format for healthcare data.
to Patient Journeys
Transformations of multiple events form features that define patient journeys, mapping historic patient data to present health states.
to Lumiata Model
Through machine learning, Artificial Intelligence (AI) informs model insights.
to Lumiata Insights
With Lumiata Insights, at both the patient and population level, cost predictions for health spend forecasts can be accurately made in a timely fashion.