MCheck Mcheck Clinical
Deliver AI-Structured Clinical Data for HEDIS, RA, and Care Management Teams
HiLabs’ AI-powered clinical data platform automates ingestion, mapping, validation, and transformation of supplemental files—cutting turnaround time from days to hours and powering a closed-loop system with provider-level data quality scoring
Delivering contract intelligence every day across health plan operations
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Clinical Records Processed
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Industry Standard Check
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Match Rate to Risk, Quality & Ops File Specs
From Raw Clinical Files to Clean, Configurable Outputs—in Minutes
Legacy Process Challenges vs. HiLabs' AI-Powered Solution Advantage
Traditional IT systems can’t keep up with the scale, complexity, or speed variability required for modern clinical data operations
Traditional ETL-Based Approach
Rely on static templates and manual rules to interpret files, often breaking when column names or formats change.
Column Mapping & Intake
Validation Logic & Configuration
Operational Visibility
Output Flexibility
Workflow Efficiency
HiLabs
AI Auto-Mapping intelligently assigns clinical concepts—even when files vary between providers or submissions
Legacy Network Solution Vendors
HiLabs
Rely on static templates and manual rules to interpret files, often breaking when column names or formats change.
AI Auto-Mapping intelligently assigns clinical concepts—even when files vary between providers or submissions
Why Leading Plans Rely on HiLabs for Clinical Data Ingestion
A configurable AI platform that transforms messy clinical files into clean, validated outputs for Risk, HEDIS, and Care Management—cutting manual effort, improving data quality, and speeding time-to-action for payers.
How a National Blue Plan Scaled Clinical Supplemental Data Ingestion
From static files, deterministic rules, and continuous data fall outs to an intelligent, closed-loop ingestion engine—streamlining downstream operations and improving submission quality
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$3M+ in Annual Operational Cost Savings
Replaced traditional rules-based workflows with AI-powered ingestion and validation—cutting internal processing costs by over $3M per year.
Turnaround Time Cut from 7 Days to <2 Hours
Reduced average file processing time from a full week to under two hours, accelerating downstream access to structured clinical data.
900+ Data Sources Ingested
From provider-submitted files to EHR extracts, the platform standardized and mapped incoming data from 900+ unique sources—automatically.
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