Leverage the power of clinically trained NLP & large knowledge models to execute end-to-end accurate, profitable, and compliant retrospective risk adjustment program
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RAAPID’s retrospective risk adjustment solutions process structured and unstructured clinical data to suggest accurate HCC codes to increase the RAF score
A consolidated view of all records with Auto Code Suggestions helps coders review the chart in less than 3 clicks
Enhance your accuracy with a complete audit trail and MEAT evidences (or gaps) for all identified HCCs
Automate manual processes with custom-designed solutions & real-time project visibility of your operations
RAAPID’s AI-powered Coding & QA platform helps risk adjustment teams to scale their chart review & audit process
Submit the accurate HCC codes & ICD-10-CM to CMS and eliminate the OIG & RADV audit risk. Saving you from penalties and losing your brand reputation.
We help you achieve complaint ROI from your risk adjustment program by keeping you away from audits and penalties.
As we transition to value-based care (VBC) and risk-based contracting, health plans and providers’ financial performance is linked with risk adjustment. Our retrospective risk adjustment solutions utilize natural language processing (NLP) to accurately read unstructured & structured medical records to better identify risk, and improve the Efficiency & ROI of Risk adjustment programs
Trained on 30M+ of real and diverse clinical data, our solutions are built upon state-of-the-art AI, NLP, Machine Learning (ML), and Deep Learning (DL) models that interpret the context surrounding identified information to get a better clinical understanding
We believe in explainable AI, meaning all the output the system suggests is backed by reasoning, context, and MEAT evidence presented to the end users. It is a “Human-in-the-loop” solution that frees reviewers & QA from manual processes and helps them focus on things that really matter – Data Interpretation & Decision making.
One-size-fits-all, out-of-the-box AI solutions never work in Healthcare. Built on modern cloud architecture and API first approach, we work with our customers to fine-tune our models and customize workflows to deliver truly personalized solutions on any cloud platform. (Google, Azure, AWS or Government cloud)
Using 360% longitudinal data like clinical charts, claim data, lab reports, membership, encounter data, and more, we help you create the list of members to prioritize in your risk adjustment review and audit.
Maximize your ability to identify, obtain, and analyze medical data quickly, easily, and securely. With RAAPID as your partner for chart retrieval via our preferred and reliable vendors.
We have a team of expert HCC coders (Onshore + Offshore) for prospective and retrospective coding to handle any large volume of clinical charts.
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