Data Explorer
Explore and analyze the sample dataset of 100 diagnosis codes across 20 patients
Data Explorer Interactive Guide
Follow these steps to explore the dataset and risk assessment capabilities:
Generate Sample Dataset
Click the "Generate Sample Data" button to create a comprehensive FHIR dataset with various diagnosis codes and supporting documentation.
Technical Context: This triggers the creation of a synthetic but realistic FHIR dataset containing ~100 diagnosis codes across 20 patients with various risk profiles.
Go to this sectionReview Dataset Summary
Examine the "Dataset Summary" panel in section [2] to understand what types of FHIR resources were generated.
Business Context: This represents the raw patient data that would be extracted from an EHR or claims system for risk adjustment submissions.
Go to this sectionPerform Risk Assessment
Click the "Perform Risk Assessment" button to analyze the dataset for high-risk diagnosis codes.
Technical Context: The assessment engine applies CMS/OIG risk filters to identify diagnoses lacking adequate supporting documentation.
Go to this sectionExamine Risk Distribution
Review the risk assessment chart in section [2] to see the distribution of high, moderate, and low-risk diagnosis codes.
Business Context: This visualization helps Medicare Advantage organizations understand their potential audit exposure and prioritize review efforts.
Go to this section[2] Dataset Summary
Generate sample data to see summary statistics.
[2] Risk Assessment Results
Perform risk assessment to see results.