Who We Are
We are a team of high-performing data scientists, software engineers, and business strategists focused on delivering measurable business and clinical value through the implementation of practical AI.
Sample Data Sources
Provider Databases
Curia's Proprietary
Webcrawler
Labs
Prescriptions
Electronic Health
Records
Claims
Risk Scoring
Engine
Impactability
Scoring Engine
Analytical Data
Lake
New mathematical methods and advances in computing power have unlocked this ‘impactability scoring’ capability, which Curia combines with state-of-the-art risk scoring to drive significant gains in engagement programs targeted to members, patients and/or clinicians.
Genomic Data
Sensor Data
Imagery
Social Determinants
Smart Devices
Transactions
Vectorization
Engine
Deep Learning
Model
Feature
Extraction
Graph
Engine
Reducing Inappropriate ED Utilization
Driving Course
of Treatment Adherence
Decreasing Avoidable
Chronic Hospitalizations
and Readmission
Optimizing P4P Messaging to Increase PDC
Improving Specialty Pull-Through Programs
Illustrative Business and Clinical Applications
Curia’s Modular Architecture integrates a wide variety of data
sources and uses a combination of risk + impactability modeling to drive truly optimized decision-making
Chronic and mental
conditions make up 90%
of US healthcare spending
Up to 75% of US healthcare spending is
estimated to be avoidable with preventative measures
New Analytical Breakthroughs and Data Sources Lead to
Better Decision Making
National healthcare spending to reach 6+ Trillion in 2028 and ~20% of U.S. GDP
Curia was built to help healthcare companies facing increasing costs of care to optimize patient, member and clinician interventions focused on a wide range of chronic conditions. While risk modeling has long guided targeting and resource allocation decisions, much less analytical rigor has been applied to determining who is most likely to respond favorably to a given intervention.