ClosedLoop.ai

ClosedLoop.ai serves a wide range of healthcare entities, including providers, accountable care organizations (ACOs), payers, pharma, and digital health companies. The company offers predictive analytics solutions designed to improve patient outcomes, optimize patient utilization, achieve quality goals, and anticipate revenue and operations interruptions. ClosedLoop.ai provides a comprehensive healthcare content library with over 4,000 feature templates for predictive models, machine learning features, queries, and data transformation. The platform is HIPAA-compliant, HITRUST certified, and adheres to other industry-recognized security frameworks and privacy regulations. Notably, ClosedLoop.ai won the CMS AI Health Outcomes Challenge, the largest healthcare-focused AI challenge in history, and has been named Best in KLAS for Healthcare Artificial Intelligence: Data Science Solutions for three consecutive years (2022, 2023, 2024). The company offers a no-cost option for ACOs to use AI-powered population health risk stratification and provides tools for program management and evaluation to measure and improve the impact of population health management programs. Additionally, ClosedLoop.ai offers solutions to predict and stratify at-risk populations for various conditions, events, and outcomes. Their data science automation tools are tailored to the needs of modern healthcare organizations, facilitating data ingestion, normalization, preparation, training, validation, deployment, and monitoring of AI/ML models. The platform also includes explainability and reporting tools to ensure the adoption of AI/ML-driven insights by clinicians and other stakeholders. ClosedLoop.ai’s predictive analytics solutions extend to digital health, enhancing engagement, identifying new consumers, and delivering greater clinical value. For pharma and life sciences, the company provides tools to optimize lines of therapy, conduct HEOR analysis, and enhance commercial performance. For payers, ClosedLoop.ai offers solutions to improve population health outcomes, optimize member care costs, and engage members to reduce churn.