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Introduction
At the heart of iCARE Analytics is the patented CARE algorithm, a sophisticated AI tool developed by Nitesh Chawla at the University of Notre Dame. Designed to optimize healthcare outcomes, CARE stands for Cutting-edge Algorithm for Real-time Evaluation, reflecting its core mission to forecast individual health risks and optimize cost management for diverse healthcare markets, including public programs, self-insured employers, and private insurers, enabling proactive care strategies and more accurate financial planning.
How It Works
CARE operates by importing scrubbed claims data, applying a blend of similarity constraints, collaborative filtering, inverse frequency, and vector similarity methods to predict future health conditions accurately. This process transforms extensive healthcare data into actionable insights, crucial for managing populations under health insurance programs.
Introduction
At the heart of iCARE Analytics is the patented CARE algorithm, a disease prediction AI tool developed by award winning, Nitesh Chawla, PhD at the University of Notre Dame. The core mission of the Collaborative Assessment and Recommendation Engine (CARE) is to enable more accurate predictions of future disease risks for a population under medical coverage. Expected costs of treatment can benefit public programs like Medicaid, self-insured employers, and private insurers, enabling proactive care strategies and more accurate financial planning.
How It Works
CARE is designed to observe the progression of all forms of disease diagnoses evidenced in a population of claims data and forecast the likelihood of future diagnoses for everyone in the population. This technology applies a blend of similarity constraints, collaborative filtering, inverse frequency, and vector similarity methods to predict future health conditions accurately. This process is self-validating which transforms extensive healthcare data into actionable insights, crucial for managing populations under health insurance programs.
Transforming Healthcare Through Predictive Intelligence
Harnessing AI to Forecast Health Risks, Optimize Costs, and Enhance Patient Outcomes
The CARE Engine is an AI-driven predictive analytics tool that identifies individuals at high risk of developing specific diseases, enabling healthcare payers, providers, and insurers to implement targeted interventions, reduce costs, and improve health outcomes through more precise financial planning and risk management.
Powerful Patented Analytics Tool for Proactive Care
Based on Disease Correlations
Predicts Future Disease Risk with 45% Accuracy
Uses progressions of ICD-9/10 De-Identified Patient Diagnosis Data
To predict disease states of Individual Patient and Patient Population under medical coverage
Works Across Entire Disease Spectrum
Individual Patient CARE
Patient Population CARE
How iCARE Analytics Works
Our platform leverages advanced data integration, sophisticated predictive algorithms, and intuitive visualizations to transform complex data into meaningful, real-time intelligence. By combining historical claims data with cutting-edge machine learning, iCARE provides a forward-looking approach to healthcare, allowing organizations to proactively manage population health, optimize resources, and reduce costs associated with preventable medical conditions.
Every de-identified patient’s medical history is an input to the CARE engine. CARE uses the progression of the ICD codes (1st, 2nd, 3rd, … diagnoses) in the claims dataset to generate a top 20 list of most likely future diagnoses for each patient in the population. CARE can ignore the last diagnosis of the population and generate a prediction and compare the prediction to the actual last diagnosis to back test and measure the accuracy of the predictions.
Data Integration
The process begins with the meticulous integration of historical claims data, ensuring all information is cleansed of duplicates and accurately categorized.
Analysis
CARE’s algorithm assesses this data through its patented method, identifying patterns and computing the probability of future medical conditions for individuals and populations
Output
The results are then visualized in intuitive dashboards, providing clear, actionable insights into health risks and conditions, aiding stakeholders in making informed decisions.
Features and Benefits
Accurate Predictions
By analyzing multi-year health claim histories, CARE predicts future disease states with remarkable accuracy, enabling better preventive measures and care management.
Cost Efficiency
Reduce wasteful spending by targeting health interventions more effectively, thanks to precise risk assessments.
Speed and Scalability:
Designed to handle extensive datasets efficiently, CARE seamlessly integrates into existing healthcare infrastructures, providing scalability across different state Medicaid programs.
About Us
Our Story
Background: Originating from a technology transfer from Notre Dame, iCARE Analytics was founded to bring Professor Chawla’s visionary CARE engine to market. Recognized by the Idea Center at Notre Dame as a prime candidate for commercialization, iCARE Analytics is dedicated to advancing healthcare analytics.
Mission Statement: Our mission is to revolutionize healthcare management through AI-driven analytics, providing agencies and firms with the tools they need to predict, plan, and provide better healthcare at reduced costs.
"The focus of healthcare is the treatment of diseases throughout a person's life. Genetic research has created numerous predictive cancer risk models for this purpose. CARE is the first predictive tool across all diseases. We intend to offer CARE to any healthcare entity who seeks to strengthen the advancement of improving prospective medical treatment of everyone."
partners
Our Partners
University of Notre Dame's IDEA Center
The IDEA Center is the University of Notre Dame's collaborative innovation hub dedicated to advancing impactful technologies through commercialization and entrepreneurial efforts. As part of Notre Dame Research, it facilitates the transformation of groundbreaking research into market-ready applications. The IDEA Center determined iCARE Analytics was the most suitable partner to commercialize CARE.
Axon Advisors
Through its partnership with iCARE Analytics, Axon Advisors holds the exclusive rights to commercialize the CARE Engine, leveraging its expertise and certification as a diverse supplier to bring this solution into government and healthcare sectors across multiple states. Through its extensive experience and success in government contracting, Axon Advisors collaborates strategically to introduce advanced predictive analytics in partnership with major actuarial firms.
Harvard University
Harvard University, along with the University of Notre Dame, holds joint ownership of the patented algorithm that powers the CARE Engine. This collaboration reflects a strong academic foundation in predictive modeling, positioning the technology as a cutting-edge solution for forecasting and cost management in healthcare.
Contact Us
Engagement
Connect with us to explore how CARE can enhance your actuarial capabilities and decision-making processes.
