Personalized AI-Powered Risk Adjustment Coding & Audit Platform
Protect your Revenue by Smartly Reducing RADV Audit Risk
There is a major crackdown on fraudulent or inaccurate risk-adjustment scores, with an increased number of RADV audits and OIG audits. Negative media attention and Lawsuits damaged the reputation. There is a need to shift processes to look both ways, stay compliant and get ahead of audits before they happen.
HCC Compass is an AI-Powered Risk Adjustment Coding & Audit Platform. Now leverage natural language processing (NLP) and deep learning (DL) and look at clinical charts and claims both ways (ADDs and DELETEs) to capture a complete, justifiable picture of members at risk.
The RAAPID Difference
Best in Industry
Our NLP SaaS & Team rated highest in KLAS study
15+ Years of Innovation
Industry Pioneer in cutting edge Healthcare & Explainable AI solutions
We align with your workflows to deliver truly custom solutions
Tested & Trusted Technology on millions of clinical documents
Increase Coding Compliance
Code with confidence as a complete audit trail that supports MEAT criteria & evidence
Capture HCCs Looking Both Ways
Auto suggested ADDS "New HCC codes" and DELETES "Undocumented HCC codes" along with MEAT Criteria
Enhance Coding Efficiency & ROI
Consolidated view of all records with Auto Code Suggestions to perform chart review in less than 3 clicks
Streamline Project Operations
Automate manual processes with customized solutions & real-time project visibility
How HCC Compass Works
Credos of HCC Compass
Cut Back on Audit Risk of Your Program
There is a major crackdown on fraudulent or inaccurate risk adjustment scores with increased CMS risk adjustment data validation (RADV) audits, OIG audits and DOJ audits. HCC Compass uses natural language processing (NLP) to read unstructured, structured medical records, and comply with federal regulations whilst minimizing audit risk.
Technology with Contextual Consciousness
Trained on real and diverse clinical notes, HCC Compass is built upon state-of-the-art AI, NLP, Machine Learning (ML), and Deep Learning (DL) models that explain the context surrounding identified information to offer a better clinical understanding. This way, you can identify under-coded (unclaimed conditions), up-coded (overclaimed conditions), and properly coded conditions.
Explainable AI, not a Blackbox
It is a ‘Human in the loop’ solution that frees HCC auditors from manual processes and helps them focus on things that really matter – Interpretation & Decision making. We believe in explainable AI meaning all the output that the system suggests is backed by Reasoning, Context, and Evidence that are presented to end users.
Highly Personalized & Configurable
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 audit solutions, as one size fits all, out of the box AI solution never works in Healthcare.
Risk Adjustment Data Validation Audit Support
RAAPID provides complete risk adjustment data validation auditing services with HCC Compass to streamline your processes. We support you with onshore and offshore coders to flexibly meet your requirements and submission timelines.