Visionairy provides an AI‑powered revenue engine tailored for eye‑care practices, automatically reading clinical notes to spot coding errors and suggesting accurate alternatives. By correcting mistakes in real time, the platform typically recovers about $80‑$100 per error, reducing adjustments and denials while boosting reimbursements.
Funding
Funding not disclosed
Founders
Product
Problem
Eye‑care practices often submit billing codes that contain errors, leading to claim adjustments, denials, and lost revenue. Identifying and correcting these coding mistakes manually is time‑consuming and prone to oversight, especially across multiple providers and locations.
Solution
Visionairy offers an AI‑driven revenue engine that automatically reads clinical notes, detects coding errors, and suggests accurate alternatives in real time. By integrating directly into the practice’s workflow, the platform reduces the incidence of adjustments and denials, recovering an average of $80‑$100 per corrected error. The system also provides enterprise‑grade, HIPAA‑compliant analytics that track key performance indicators such as denial rates and revenue recovery across providers, sites, and groups. This enables eye‑care organizations to continuously monitor coding quality and optimize reimbursements without additional manual effort.
Target Audience
Primary customers are ophthalmology and optometry practices, including multi‑site groups and eye‑care networks, that need to improve billing accuracy and maximize reimbursements.
Features
- Natural language processing engine that parses clinical documentation to identify coding discrepancies
- AI‑generated code suggestions that align with current payer guidelines and specialty-specific requirements
- Real‑time correction workflow that integrates with existing electronic health record and billing systems
- Dashboard with customizable KPI tracking for denial rates, revenue recovery, and provider performance
- Secure, SOC2‑certified infrastructure with full HIPAA compliance for protected health information
- Multi‑location and group reporting capabilities to compare coding accuracy across practice networks