RAAPID provides AI-driven risk adjustment technology that utilizes machine learning, natural language processing, and optical character recognition to enhance the accuracy of hierarchical condition category coding. This technology addresses the challenges of incomplete clinical documentation and coding inefficiencies, ultimately improving reimbursement accuracy and quality of care for healthcare organizations.
Funding
$6.7M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
MMFounders
Product
Problem
Healthcare organizations face challenges in accurately capturing and documenting Hierarchical Condition Category (HCC) codes due to incomplete clinical documentation and coding inefficiencies. Inaccurate coding can lead to reimbursement inaccuracies and negatively impact the quality of patient care.
Solution
RAAPID provides an AI-powered risk adjustment technology platform that leverages machine learning (ML), deep learning (DL), natural language processing (NLP), and optical character recognition (OCR) to improve the accuracy of HCC coding. The platform ingests and processes raw patient data from multiple sources, both structured and unstructured, transforming it into a usable format. RAAPID's technology identifies potential coding errors, improves the quality of care, closes gaps in documentation, and enhances financial performance for health plans, healthcare providers, medical coding companies, and health tech companies.
Target Audience
RAAPID serves health plans, healthcare providers, medical coding companies, and health tech companies seeking to improve HCC coding accuracy, streamline operations, and optimize financial performance.
Features
- AI-powered platform utilizing ML, DL, NLP, and OCR technologies for risk adjustment
- HCC Capture: Chart review solution for health plans to comply with HCC coding requirements and ensure accurate Risk Adjustment Factor (RAF) scores
- HCC Compass: Chart audit and claim comparison solution for health plans, providing transparency in healthcare coding and billing
- HCC Sage: Clinical decision support tool that uses NLP to capture new and uncoded diagnoses, assisting physicians in delivering value-based care
- HCC Triage: Risk stratification tool that identifies high-value HCC opportunities and forecasts personalized care based on individual patient needs and risks
- Healthcare API: Clinical APIs to confidently share critical information across disparate systems and improve workflow efficiencies
- Extended Risk Adjustment Services: HCC coding, chart review, and chart audit services