CARY, N.C.– SAS, a global leader in data analytics and artificial intelligence, has launched a new AI-powered solution designed to support health care payers and providers in managing treatment costs, improving patient outcomes, and navigating evolving reimbursement models. The solution, called SAS® Health Cost of Care Analytics, is built on the company’s SAS Viya® platform and will be available in July 2025.
SAS Health Cost of Care Analytics allows health care organizations to analyze claims data as comprehensive care episodes, helping them identify patterns from diagnosis through treatment and ongoing management. The platform is designed to reveal cost drivers, reduce unnecessary hospital admissions, shorten stays, and inform better decision-making around clinical protocols and provider contracting. By constructing a holistic view of the patient journey, the platform enables more precise assessments of care quality, efficiency, and cost-effectiveness.
As the health care industry shifts toward value-based care, SAS is emphasizing tools that help payers and providers understand risk, performance, and the full cost of care. Brett Davis, Senior Manager of Health Care Advisory at SAS, said the new solution goes beyond traditional claims analysis by delivering deeper insights into variation, outcomes, and financial risk. The platform also features customizable definitions of care episodes and automatically calculates risk-adjusted costs and other quality measures such as length of stay, helping organizations benchmark and compare provider performance in real-time.
To support easier implementation, the solution integrates with the SAS Health common data model and includes tools for automated data validation and ingestion, reducing technical barriers for adoption. The platform will be formally introduced at AHIP 2025 in Las Vegas, alongside other SAS solutions developed for the payer community.
Complementing the analytics platform, SAS also unveiled a suite of ready-made AI models developed to tackle pressing operational and clinical challenges. One model, SAS Medication Adherence Risk, helps identify patients at risk of not following prescribed treatments—an issue with significant implications for health outcomes and regulatory quality scores. By supporting timely and targeted interventions, the model enables organizations to boost adherence, improve patient engagement, and lower costs.
Another new offering, SAS Document Analysis, is an intelligent processing system that extracts structured data from scanned medical documents. By converting unstructured content into analyzable data, the model has already shown a fourfold efficiency increase in medical record reviews at one of the country’s largest health insurers.
SAS also introduced Payment Integrity for Health Care Detect and Prevent, a solution designed to identify billing errors, prevent improper claims, and detect potential fraud or abuse. The tool supports both private insurers and public programs in strengthening regulatory compliance and reducing losses from fraud, waste, and abuse.
With these new offerings, SAS continues to deepen its footprint in health care analytics by delivering scalable, real-time solutions grounded in decades of industry expertise. The company’s goal is to provide payers and providers with the tools they need to improve health outcomes while managing financial risk in an increasingly complex care environment.
