Risk Adjustment With Data-Backed Diagnoses and HCC Mapping
Protected by Accuracy, Elevated by Efficiency
Use industry-leading Natural Language Processing technology to process charts, extract ICD-10 codes with a SNOMED level of granularity and present key findings to reviewers for validation.
Enhance chart reviews
Identify missed coding opportunities
Gain a comprehensive, accurate view of member risk
Average HCCs Per Chart
Average RAF Per Chart
HCC Auto-Extraction and Mapping
Our solutions enable you to leverage unstructured and structured medical records efficiently, automatically extracting relevant ICD-10 codes and mapping to model specific HCC codes, presenting clear, concise recommendations for reviewers.
API, HIE, EHR, Doc Retrieval, Chart Repository, Clearing House
Demographics, Model, Version, Reporting Year, DOS
Transform Unstructured Data
Transform narrative detail into actionable insights
Map diagnoses to HCC codes with SNOMED level granularity
Present mapped HCC codes with relevant findings for validation
Submit HCC and RAF calculation to database via JSON
Powered by Natural Language Processing
Leveraging unstructured and structured medical records to power Risk Adjustment workflows.
- Normalize data and extract relevant ICD-10 diagnosis codes
- Map ICD-10 to HCC versions and models
- Present relevant data points to reviewers to validate with supporting details
- Eliminate the need to scroll through thousands of pages of medical documents
All results delivered to you in a consumable and interoperable format.