Risk Scoring Model Development and Anomaly Detection

The contract aims to develop an explainable risk-scoring model leveraging Single Audit findings and other authoritative data sources to detect and prioritize healthcare providers at high risk of improper payments. The model must be transparent and interpretable, enabling stakeholders to understand the factors driving risk scores and support informed decision-making. It will focus on identifying anomalies and patterns indicative of fraud, waste, or abuse within healthcare payment systems, using data from federal audits and trusted governmental databases to enhance accuracy and reliability. The work is classified under NAICS code 541690 for other scientific and technical consulting services and is issued as a subcontract by the Program Support Center Acquisition Management Service within the Department of Health and Human Services. Performance is required to occur in Washington, DC, with a zip code of 20201. The opportunity was posted on June 23, 2026, and is intended to support federal efforts to improve payment integrity and reduce improper disbursements in healthcare programs through advanced analytical capabilities.