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ConsoleBook Demo

Human-in-the-Loop Review

Combine AI speed with human precision. Set confidence thresholds and route document exceptions to an intuitive review panel.

Book DemoTry in Sandbox

Data Pipeline Workflow

Our workflow engine tracks confidence scores and routes files below limits to staff review panels for verification.

01

Evaluate Confidence

Calculate parse probability score per clinical parameter (demographics, vital signs, test codes).

02

Route Exceptions

Route parsed files with confidence scores below custom safety limits to the review dashboard queue.

03

Single-Click Validate

Provide staff with a side-by-side view (scanned document vs. parsed parameters) for instant approval.

Clinical Validation Queue
HIPAA Secure Node
Review Queue ItemLow-Conf FieldAction
email_referral_092.pdfDose: '325mg' (75%)
order_requisition.pdfLab: 'Sodium' (82%)

Developer Specifications

API Integration & Data Specifications

Integrate this platform module with standard code requests. Receive clean, validated, and normalized payloads that fit into EHR databases or server hooks.

routing-rule.json
{
  "documentId": "doc_8f17a942b083",
  "routing": {
    "routedToQueue": true,
    "reason": "low-confidence-tokens",
    "lowConfidenceFields": [
      {
        "field": "medication.dose",
        "value": "325mg",
        "confidence": 0.75,
        "requiredThreshold": 0.90
      }
    ],
    "assignedGroup": "Clinical_Intake_Audit"
  }
}

Key Outcomes & Benefits

100% Safety Net

Ensures staff can double-check complex document parses, guaranteeing clinical safety.

Custom Thresholds

Set different confidence thresholds by document source or department.

Easy Audit UI

An intuitive web layout with highlighted low-confidence fields for fast review.

Experience the MedIngest Platform

Request a custom data extraction assessment. Our healthcare integration architects will evaluate your email attachments, faxes, scanned files, and EHR configurations.

Schedule Assessment
MMedIngest

AI-native clinical document intelligence automating ingestion, mapping standard terminologies, and validating FHIR.

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