Methodology 03

Data Validation & Assurance

This step ensures that all data collected is validated for completeness, consistency, accuracy, traceability, and reliability before it is used in scoring. Robust validation and assurance safeguard the integrity of HPI results.

Methodology
Validation Score
91.6
/100
Excellent
Assurance
4.9 points
Pillar
Priority
Priority
Priority Critical
Quality Control
Overview
Pillar
Completeness 92.4 /100
Excellent
Pillar
Pillar
Consistency 90.8 /100
Excellent
Pillar
Pillar
Accuracy 91.2 (per 1,000 patient days)
Excellent
Pillar
Pillar
Traceability 89.9
Very Good
Pillar
Pillar
Audit Readiness 90.6
Excellent
Pillar
What It Covers
  • Completeness checks
  • Outlier review and detection
  • Data reconciliation
  • Source verification
  • Audit trails and traceability
  • Exception handling
  • Manual review processes
building
Core Sections
Key Elements
  • Tolerance rules and thresholds
  • Validation workflows
  • Approval gates
  • Data ownership and accountability
  • Correction logs and reprocessing
  • Assurance summary reports
Risk Signals
  • Duplicate records detected
  • Mismatched or conflicting values
  • Unresolved data exceptions
  • Incomplete audit trails
  • Late validation or re-submission
  • Weak data governance
Dashboard Preview
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Improvement Actions
  • Strengthen validation rules and business logic
  • Enhance data stewardship and accountability
  • Expand automated checks and controls
  • Implement regular review and revalidation cycles
  • Improve exception management and escalation
Pillar
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