Buddee Health
Buddee is a shadow-mode clinical AI platform that runs alongside existing EHRs to flag suspected HCC coding gaps with source evidence and draft CMS-grounded prior-authorization requests. Every recommendation requires clinician approval before any action, with no auto-submission of claims or authorizations. The platform uses FHIR R4 read-only integration, is Epic-approved, and includes a SHA-256 hash-chained audit trail design for tamper-evident traceability.
- Healthcare Technology
- Digital Health
- Artificial Intelligence
- Software Only
- Regulatory & Compliance Technology
Funding
Founders
Founder details are not available yet.
Product
Problem
Healthcare organizations face revenue integrity and compliance risks from missed HCC (Hierarchical Condition Categories) coding opportunities and incomplete documentation. Traditional EHR systems do not automatically surface suspected coding gaps, and prior-authorization processes are often manual, time-consuming, and prone to errors that can lead to claim denials or compliance issues.
Solution
Buddee is a shadow-mode clinical AI platform that runs quietly alongside existing EHRs without requiring replacement or deep integration. It ingests clinical notes and billing codes via FHIR R4, applies large language model reasoning grounded in a vector index of CMS HCC guidelines, and flags suspected coding gaps with direct evidence quotes from the patient chart. The platform also drafts CMS-grounded prior-authorization requests for human review. Every suggestion routes through a clinician approval workflow before any action, ensuring that AI advises and clinicians decide, with no auto-submission of claims or authorizations. All recommendations, approvals, and rejections are designed to be captured in a SHA-256 hash-chained audit trail for tamper-evident traceability.
Target Audience
Primary users are U.S. healthcare organizations, including hospitals, physician practices, and revenue-cycle management teams, along with clinicians, coders, and compliance officers who need to identify HCC documentation gaps and streamline prior-authorization workflows while maintaining audit-ready compliance.
Features
- FHIR R4 read-only integration designed to work with Epic, Cerner, and other compliant EHRs without replacing existing systems
- Large language model analysis of clinical notes with vector-indexed CMS HCC guideline grounding
- Coding gap suggestions with confidence scores and direct evidence quotations from the patient chart
- Prior-authorization draft generation grounded in CMS requirements
- Clinician approval workflow on every AI recommendation with zero auto-billing
- SHA-256 hash-chain audit design for tamper-evident traceability of all recommendations, approvals, and rejections
- AES-256 encryption at rest and TLS 1.3 in transit with per-tenant isolation by design
- HIPAA-ready architecture with Business Associate Agreement execution before any real PHI access
- Interactive sandbox demo using synthetic, non-real patient data