Risk Adjustment With Data-Backed Diagnoses and HCC Mapping

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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.

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Enhance chart reviews

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Identify missed coding opportunities

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Gain a comprehensive, accurate view of member risk

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ICD Precision
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.

Document Intake

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API, HIE, EHR, Doc Retrieval, Chart Repository, Clearing House

Apply Parameters

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Demographics, Model, Version, Reporting Year, DOS

Transform Unstructured Data

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Transform narrative detail into actionable insights

Auto-Map

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Map diagnoses to HCC codes with SNOMED level granularity

Present Findings

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present-finding

Present mapped HCC codes with relevant findings for validation

Send Results

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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
NLP-powered

Flexible Delivery

All results delivered to you in a consumable and interoperable format.

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Send results directly into your system
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Intuitive UI to view and validate findings

Ready to Get Started?

Automate your Risk Adjustment review programs today.

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