Hanohealth provides an AI‑driven platform that extracts, structures, and connects payer contract data to financial workflows, delivering precise patient cost‑share estimates at point of care. The solution automates revenue capture and appeal management, giving providers actionable insights to reduce collection costs, accelerate cash flow, and minimize revenue leakage.
Funding
Funding not disclosed
Founders
Product
Problem
Healthcare providers struggle with fragmented payer contract data, unpredictable patient cost‑share estimates, and revenue leakage caused by underpayments from both patients and insurers. This complexity hampers accurate billing, slows collections, and increases administrative costs.
Solution
Hanohealth offers an AI‑driven platform that extracts and structures payer contract information, linking it directly to financial workflows. The system generates precise patient cost‑share estimates before and during visits, enabling providers to set clear expectations and collect payments up front. Integrated revenue capture tools analyze payment data and apply AI‑powered appeal management to identify underpayments and automate collection actions. By delivering actionable insights across the entire revenue cycle, the platform helps providers reduce collection costs, accelerate cash flow, and minimize revenue leakage.
Target Audience
Primary customers are hospitals, health systems, and independent physician practices that manage complex payer contracts and seek to improve billing accuracy and revenue recovery.
Features
- AI‑based contract intelligence that normalizes and organizes payer agreements for easy reference
- Real‑time financial estimation engine delivering accurate patient cost‑share figures at point of care
- Automated revenue capture dashboards highlighting payment gaps and underpayment patterns
- AI‑enhanced appeal management that generates evidence‑based rebuttals to insurer denials
- End‑to‑end integration with existing billing and EHR systems to streamline workflow automation
- Analytics suite providing actionable insights into collection performance and cost‑to‑collect metrics