This isn't a slide deck. It's a working AI agent that handles patient insights, care gap reviews, performance analytics, and account management for Pearl Health providers.
Ask it anything about patient risk profiles, care gaps, practice performance, financial summaries, or platform status. It has real knowledge, real tools, and real workflows.
Built around real provider scenarios that Pearl Health's care teams encounter every day.
Looks up individual patients, shows risk scores with percentile context, active HCC conditions, and recent clinical events like ED visits.
Reviews open care gaps across the practice, prioritizes by category, and identifies patients needing urgent outreach after ED visits or hospitalizations.
Quality scores, utilization metrics, peer benchmarking, and year-over-year trends -- all contextualized against VBC benchmarks.
Shared savings tracking, performance tier status, monthly capitation details, and projected end-of-year outcomes under ACO LEAD contracts.
Real-time EHR integration health, data feed freshness monitoring, user adoption metrics, and proactive lag alerts.
Contract details, onboarding milestones, team member management, and direct access to your dedicated account manager.
This demo was built from scratch for Pearl Health. Real logic for real provider scenarios.
Pulled Pearl Health's VBC models, risk adjustment methodology, and platform documentation into the AI's knowledge base.
Created provider-specific workflows for patient insights, performance analytics, platform support, and account management.
Connected 6 mock tools that simulate Pearl Health's patient data, practice metrics, and platform systems.
Ran simulated provider conversations across patient lookups, performance reviews, and technical support scenarios.
Connected to your actual provider data. Handling your real support volume. This sandbox is just the start.
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