Codigo provides comprehensive medical billing services for ophthalmology practices, managing processes from eligibility verification to payment reconciliation. The service integrates with existing EHR and RCM systems to enhance in-house billing team capabilities. Proprietary analytics tools deliver strategic insights to optimize revenue cycles and automate reporting.
Funding
Funding not disclosed
Founders
Product
Problem
Manual medical coding and billing processes are prone to errors and inefficiencies, leading to claim denials, delayed reimbursements, and suboptimal revenue cycle management for healthcare practices. This manual approach also requires significant administrative overhead and specialized staff training.
Solution
Codigo offers an AI-powered platform designed to automate and optimize medical coding and billing workflows. The system leverages natural language processing (NLP) and machine learning algorithms to accurately assign CPT and ICD codes directly from clinical documentation. By integrating with existing EHR systems, Codigo reduces manual data entry, minimizes coding errors, and accelerates the claims submission process. This intelligent automation enhances revenue cycle performance by improving coding accuracy, reducing claim rejections, and ensuring compliance with evolving coding standards.
Target Audience
Codigo targets medical practices, billing companies, and revenue cycle management departments seeking to enhance the accuracy and efficiency of their medical coding and billing operations.
Features
- AI-driven CPT and ICD code assignment based on clinical documentation analysis
- NLP engine for understanding medical terminology and context within patient records
- Machine learning models for continuous improvement in coding accuracy and efficiency
- EHR integration capabilities for seamless data flow and workflow automation
- Automated flagging of potential coding discrepancies or missing information
- Real-time validation of assigned codes against payer rules and guidelines
- Chrome extension for one-click auto-coding directly within web-based EHR interfaces