AI Improves High-Risk Patient Identification in Managed Care
Artificial intelligence (AI) outperforms traditional models in identifying high-risk patients by integrating diverse data for proactive care.
In managed care, identifying members at risk for poor health outcomes is crucial for improving care coordination, reducing costs, and starting early interventions.
- Traditional rule-based risk models use fixed thresholds, such as lab values or diagnosis counts.
- These models often miss the complexity and changing nature of people's health.
AI offers a more flexible, data-driven approach that can keep learning from many different factors that affect risk.
Author: AI enhances patient risk identification.