GaleAI is an intelligent medical coding SaaS platform built for healthcare providers, groups, and hospitals. It leverages Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP) to automate the complex process of medical coding and billing, transforming clinical notes into accurate CPT codes in a matter of seconds.
Key Benefits & Value Proposition:
- Revenue Optimization: GaleAI helps avoid undercoding, claiming to increase revenue by accurately capturing all relevant CPT codes, with some audits showing up to a 10-15% revenue uplift. It also automates revenue calculation by pairing CPT codes with their wRVUs (Work Relative Value Units).
- Efficiency: The platform significantly reduces the time spent on manual coding, streamlining the workflow from patient intake to post-op care.
- Accuracy: The system is network-driven and learns from every interaction and note, constantly evolving to maximize coding accuracy.
Main Features & Capabilities:
- Automated Medical Coding: Uses NLP and deep neural networks to read medical notes and return accurate CPT codes, modifiers, and associated diagnoses.
- EHR/EMR Integration: Designed to act as an intelligent service layer on top of existing EMR systems, integrating seamlessly using industry-standard protocols like HL7 and FHIR. Confirmed integrations include Epic and Athena.
- Pre-Authorization Assistance: Provides customizable assistance based on the physician's procedures.
- Total Customization: Offers bespoke interfaces and specialized AI models to fit unique user needs and business processes.
- Cross-Platform Access: Available on Web, Desktop, and Mobile devices (iOS and Android apps).
Security & Compliance:
- Full HIPAA Compliance and adherence to SOC-2 principles.
- Data encryption and PHI de-identification are standard security features.
Target Users & Use Cases:
- Target Users: Individual Physicians, Group Practices, and Hospital Administrators.
- Use Cases: Maximizing revenue capture, preventing undercoding, streamlining pre-authorization, and improving administrative efficiency.
