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.

Syntax is the only two-sided SaaS actuarial platform that enables and scales VBC adoption. It offers advanced analytics and a real-time collaborative workspace where myriad stakeholders (actuaries, analysts, network managers, providers) engage in modeling and negotiation. 

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.

N/A

Syntax offers something entirely new: actuarially credible program design and contract modeling capabilities coupled with transparent, collaborative contract negotiations via our 2-sided workspace. Most solutions in this space are focused on care coordination or population health.

How we're different:  

• Our SaaS enterprise solution facilitates open, candid, real-time discussions that break down barriers posed by physical distance, lack of trust, or apprehension over the risks associated with implementing a new value-based care model. 
• Syntax deploys a team-based approach in which everyone can view savings, spend and the direct impact on outcomes/efficiency that different models have. 
• We enable teams to model contract terms and incentive scenarios using our fast-track templates or they can configure their own using our dynamic model builder. 
• Syntax also provides the ability to refresh performance measurement on demand, allowing team members to preview emerging trends for course correction and value alignment.
• We delight customers by automating tasks often done in cumbersome, time-consuming ways.
• Syntax saves time, removes redundant tasks and improves efficiency.