Ekagra is an AI-native electronic health record copilot built specifically for wound care, offering automated documentation, coding, and real-time denial prevention. Integrated via FHIR/HL7, it works alongside existing hospital EHRs like Epic or Cerner, pushing structured wound notes and billing data back to the primary system, and its AI achieves 98% documentation accuracy with sub‑millimeter wound measurement.
Funding
Funding not disclosed
Founders
Product
Problem
Wound care clinicians often must enter the same patient information into both a general EHR and a separate wound documentation tool, leading to duplicate data entry, coding errors, and delayed billing. Inconsistent wound measurements and manual coding also increase claim denials and reduce reimbursement efficiency.
Solution
Ekagra provides an AI‑native copilot that sits on top of existing hospital EHRs (e.g., Epic, Cerner, Meditech) and automates the entire wound‑care workflow. Using FHIR/HL7 bidirectional integration, it pulls patient demographics and pushes structured wound notes and billing data back into the primary EHR, eliminating double entry. Ambient voice‑driven charting creates clinical notes in real time, while the AI Wound Analysis engine measures wounds with sub‑millimeter precision and classifies tissue types, generating objective data for coding. Smart Coding continuously suggests the appropriate CPT/ICD codes, reducing claim errors and preventing denials. All data are stored in a HIPAA‑compliant cloud, and clinicians access dashboards that track healing progress and revenue metrics.
Target Audience
Primary users are wound‑care physicians, nurses, and medical assistants in outpatient wound clinics, skilled‑nursing facilities, and mobile health services, as well as practice managers and hospital revenue‑cycle teams responsible for documentation and billing.
Features
- Voice‑activated ambient charting that captures full clinical notes without manual typing
- Real‑time smart coding that recommends accurate wound‑care CPT and ICD codes during documentation
- AI‑driven wound analysis delivering sub‑millimeter measurements and automated tissue classification
- Seamless bidirectional FHIR/HL7 integration with major EHR platforms to synchronize patient records and billing data
- Clinical insights dashboard with healing trends, outcome analytics, and revenue performance metrics
- HIPAA‑secure cloud storage with end‑to‑end encryption and 24/7 support