Healthful AI provides an AI‑powered platform that automatically extracts clinical information from EHR notes and maps it to coding standards such as ICD‑10, CPT, and SNOMED CT. Integrated via HL7/FHIR APIs, it delivers real‑time coding suggestions, validation alerts, and reporting to improve accuracy, reduce manual effort, and protect revenue for hospitals and large outpatient clinics.
Funding
Funding not disclosed
Founders
Product
Problem
Healthcare providers often rely on manual clinical coding to translate patient encounters into billing codes, a process that is time‑consuming, prone to human error, and can lead to revenue leakage.
Solution
Healthful AI offers an AI‑driven software platform that automatically assigns clinical codes based on documentation within electronic health record (EHR) systems. The solution analyzes free‑text notes, extracts relevant clinical concepts, and maps them to the appropriate coding standards (e.g., ICD‑10, CPT). By integrating directly with existing health IT infrastructure, the platform fits into current coding workflows, reducing the need for manual entry while improving coding accuracy and billing compliance. Real‑time feedback and audit trails help coders verify and correct assignments, supporting continuous quality improvement.
Target Audience
Primary customers are hospitals, health systems, and large outpatient clinics that manage high volumes of clinical documentation and require efficient, accurate coding for reimbursement.
Features
- Natural language processing engine that parses clinician notes to identify diagnosis and procedure information
- Automated mapping to multiple coding standards (ICD‑10, CPT, SNOMED CT) with confidence scoring
- Seamless integration via HL7/FHIR APIs into major EHR and practice management systems
- Real‑time validation rules that flag potential mismatches or missing documentation
- Dashboard reporting on coding accuracy, audit logs, and revenue impact metrics