Arcadia.io is a healthcare data & software company dedicated to healthcare orgs achieving financial success in value-based care. Arcadia.io specializes in the integration of data from EHR platforms, enriching them with claims and operational data. The resulting dataset is combined with the tools needed to integrate data and transform it into a format usable for the population-level analysis that powers their quality-driven delivery networks at the point of care. Arcadia's combined solution delivers more cost-effective utilization, improvements in quality, and more accurate risk capture, delivering enterprise-level transformational healthcare outcomes.

Trusted by independent provider groups, health plans, and integrated delivery networks nationwide, with expertise in both fee-for-service optimization and value-based performance environments, Arcadia supports providers with the benchmark data, insights, and outsourced services to excel in the evolving landscape of American healthcare.

HOPE-CAT is a machine-learning-based risk-assessment algorithm that identifies factors that may indicate the development of cardiovascular conditions that lead to maternal morbidity and mortality. By monitoring a pregnant patient's aggregated health data (e.g., medical records, wearables and device data, and self-reported data) in real time, HOPE-CAT stratifies a patient's risk and alerts providers to changes in a patient's risk status.

Current efforts to reduce cardiovascular-based maternal morbidity and mortality are reactive. Often occurring in a disjointed system, patient encounters and, consequently, data collection occur every few weeks or months over the course of a pregnancy, and even less frequently postpartum.

HOPE-CAT constantly monitors a patient's aggregated health data (e.g., medical records, wearable and device data, and self-reported data) in real time, stratifies a patient's risk, and alerts providers to changes in a patient's risk status.

The machine-learning-based technology identifies signs of risk sooner than would be discovered in a clinical setting, prompting proactive intervention and reducing outcomes of maternal morbidity and mortality.

HOPE-CAT is a proactive tool that identifies signs of risk before a patient experiences complications or a medical emergency, prompting intervention and fostering proactive care, unlike other diagnostic and treatment models.