Chronic conditions are a significant
driver of the healthcare spend.
Lillia's Digital Twin
Lillia creates a dynamic, continuously learning model of every patient, enabling personalized and proactive care coordination at scale.
01
Combines vitals and diagnostics from EHR, lifestyle data from smart devices, and patient-reported data.
02
Models health trends and surfaces suggested care pathway actions.
03
Surfaces early indicators for potential hospitalization, care gaps, and condition complexity to support timely care team review.
04
Delivers timely nudges to patients and actionable insights to care teams.
Impact Across Conditions
Diabetes
Support monitoring
of glucose trends, engagement patterns, and care team
escalation triggers.
Metabolic
Model lifestyle
patterns and,
support long-term
health engagement planning.
Cardiovascular
Support tracking of
BP patterns,
care escalation triggers, and medication adherence.
Value for Providers and Payers
Revenue and Compliance
Supports billing and real-time coding accuracy
Value-based Alignment
Reduces hospitalizations and cost of care
Operational Efficiency
AI-driven insights cut manual monitoring time
Proactive
Care
Intervenes
before deterioration
Disclaimer: The Digital Twin transforms longitudinal health and behavioral data into dynamic models that help care teams anticipate risk and personalize care. It provides analytics and decision support only and is not intended to function as a diagnostic device.