Our Technology
Under the Hood: VascAI's AI Engine
Proprietary AI models and agents turn scattered patient data into tasks.
How it works
VascAI uses proprietary AI models to turn scattered patient data into completed care.
Multi-source data integration
Reconciliation into one patient profile
Data intake
Care gap identification
AI agents complete routine tasks
AI engine
Multi-source data reconciliation
VascAI takes in data from many sources, including the EHR, health information exchanges (HIEs), claims, care gap files and hospital discharge alerts. It combines them into one clear profile for each patient.
Care gap identification engine
Finds open care gaps that are easy to miss, like an overdue A1c test or wellness visit, by checking claims, labs, visit notes and plan files against quality measures.
Automated documentation
Supports care teams by drafting visit notes and coding after every visit. Staff review and approve each note before it is sent to the EHR and the health plan.
AI you can trust
We build AI that care teams can understand and patients can trust.
Linked to clinical evidence
Every task and AI-drafted note links back to the record it came from, so staff can see why it was created. Clinicians review and approve before anything is sent.
Privacy and security by design
Built with HIPAA safeguards and business associate agreements, with access limited to the care team working with each patient.
Built for health equity
Our tools are designed with the Medicaid and Medicare communities we serve, and we review results across patient groups so every community gets the care it needs.
Continuous improvement
We apply the latest AI research and learn from every completed visit to keep improving how our models find needs and plan care.
See the platform in action.
We will walk you through how VascAI turns your data into completed care.