Enterprise Guide

​

Platform Overview

• Voice-Based Patient Agents: Autonomous AI agents that conduct clinical conversations with patients via phone and SMS
• EHR Integration: Bi-directional data exchange with Epic, Cerner, Athena, and other major EHR systems via FHIR R4
• Clinical Protocol Engine: Configurable conversation workflows for intake, screening, follow-up, and care coordination
• Quality Assurance: Automated conversation evaluation with LLM-as-judge and clinical team review
• Analytics & Reporting: Real-time dashboards for conversation outcomes, quality metrics, and ROI tracking

​

Core Features

​

For Clinical Teams

• Pre-configured protocols for 20+ specialties
• Validated assessment instrument administration (PHQ-9, GAD-7, AUDIT-C, etc.)
• Automated clinical note generation and EHR write-back
• Escalation queue with full conversation context for flagged interactions

​

For Operations

• Automated patient outreach at scale (scheduling, reminders, follow-up, care gaps)
• CMS billing code capture for BHI/CCM qualifying conversations
• Staff time reduction through automated engagement workflows
• Real-time visibility into patient engagement metrics

​

For IT & Security

• SOC 2 Type II, HIPAA, GDPR compliance
• SSO integration (SAML/OIDC) with enterprise identity providers
• Multi-tenant architecture with data isolation
• On-premises deployment option for data residency requirements

​

Getting Started

1. Discovery Call: 30-minute call to understand your workflows, EHR system, and priority use cases
2. Pilot Scope: Select 1-2 protocols for initial deployment
3. Integration: Connect HANA to your EHR (3-5 days for standard EHR systems)
4. Configuration: Customize protocols, voice persona, and escalation rules
5. Validation: Test conversations with clinical team review
6. Go-Live: Phased rollout starting with 10-20% of eligible patients
7. Optimization: Continuous quality improvement based on production data

​

Support