Predictive health for every patient, powered by a digital twin.
Lillia builds a real-time, AI-driven replica of each patient,
combining clinical, lifestyle, and wearable data
to anticipate risks, guide interventions, and transform outcomes.
The Challenge
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, predictive, and preventive care at scale.
01
Combines vitals and diagnostics from EHR, lifestyle data from smart devices, and patient-reported data.
02
Simulates outcomes and suggests next-best actions.
03
Flags hospitalization risks, comorbidity progression, and care gaps before they occur.
04
Delivers timely nudges to patients and actionable insights to care teams.
A Living Model of Each Patient’s Health Journey
Impact Across Conditions
Diabetes
Predict glucose trends, compliance risk, and likelihood of hospitalisation.
Metabolic
Forecast lifestyle
impact and
long-term health trajectories.
Cardiovascular
Model BP control,
heart failure risk,
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.