Methodology 04

Pillar Measurement Model

Each HPI pillar is measured using a multi-dimensional model that integrates structure, process, outcome, and experience to provide a holistic and balanced view of hospital performance.

Methodology
Model Strength
90.4 / 100
Excellent
Alignment
+3.6 points
vs last assessment
Priority
Priority
High
Multi-Dimensional Design
Overview Dimensions Components Controls Dashboard Improvement Actions
Pillar
Structure 89.6 /100
Excellent
Pillar
Process 90.2 /100
Excellent
Pillar
Outcome 91.1 /100
Excellent
Pillar
Experience 88.7 /100
Excellent
Pillar
Inter-Pillar Alignment 89.9 /100
Excellent
What It Covers
  • Structure-process-outcome-experience logic
  • Pillar definitions and intent
  • Indicator families and attributes
  • Cross-pillar relevance
  • Comparability across hospitals
  • Interpretability and usability
  • Contextual review and alignment
building
Core Sections
Structure
Structure
Process
Process
Outcome
Outcome
Experience
Experience
Indicator Mapping
Indicator Mapping
Cross-Pillar Balance
Cross-Pillar Balance
Key Elements
  • Clear dimension definitions
  • Balanced indicator coverage
  • Relevance to pillar objectives
  • Evidence-based selection
  • Measurable and comparable
  • Actionable and interpretable
  • Aligned with clinical and operational priorities
Risk Signals
  • Over-reliance on a single dimension
  • Weak or incomplete indicator mix
  • Overlapping or redundant domains
  • Inconsistent definitions or scope
  • Limited contextual understanding
Dashboard Preview
Dimension Scores (Example Pillar)
Str.Pro.Out.Exp.
Dimension Trends (12M)
  • Structure
  • Process
  • Outcome
  • Experience
Dimension Contribution (to Pillar Score)
  • Structure 25%
  • Process 25%
  • Outcome 25%
  • Experience 25%
Pillar Measurement Model
Structure
Process
Outcome
Experience
PILLAR MODEL
Improvement Actions
  • Ensure balanced representation across all dimensions
  • Refine indicators for completeness and relevance
  • Eliminate overlap and strengthen unique insights
  • Validate definitions and measurement logic
  • Enhance contextual review and expert calibration
  • Monitor model performance and adapt over time
Pillar
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