Health System Resource Allocation Optimization Case Study

This case study details how a private, not-for-profit health system in New Mexico utilizes the Johns Hopkins ACG System to enhance data-driven care management within a value-based care framework. The health system has created a suite of tools that leverage ACG System analytics to identify patients who are most likely to benefit from targeted interventions. These tools are seamlessly integrated into clinical workflows and operational systems, ensuring a scalable and sustainable approach. The study outlines the challenges faced by the health system, particularly the need to effectively utilize resources amidst increasing pressure for value-based care. It describes the innovative tools developed, including the Barrier to Care Index, Value Optimization Score, Global Impactability Index, and Complex Case Management, which help prioritize patients for care interventions. The implementation of these tools has led to improved patient outcomes, streamlined care coordination, and optimized resource allocation, ultimately supporting the health system's transition to value-based care.