Methodology 02

Data Collection

HPI collects structured and multi-source hospital data across all pillars using clearly defined protocols and dependable sources to ensure completeness, accuracy, and reliability of the information used.

Methodology
Data Collection Score
89.7
/100
Excellent
Coverage
3.8 points
vs last assessment
Priority
High
Data Reliability
Overview Sources Components Controls Dashboard Improvement Actions
Pillar
EHR Data 91.3 /100
Excellent
Pillar
Patient Experience 87.9 /100
Excellent
Pillar
Safety & Incident Data 89.8 /100
Excellent
Pillar
Workforce & Operations 88.4 /100
Excellent
Pillar
External Benchmark Data 86.7 /100
Excellent
What It Covers
  • Electronic health records (EHR)
  • Laboratory and radiology systems
  • Incident reporting systems
  • Patient feedback and surveys
  • Workforce and HR records
  • Operations and finance systems
  • External benchmark databases
building
Core Sections
Clinical Systems
Clinical Systems
Experience Data
Experience Data
Workforce Data
Workforce Data
Ops & Finance
Ops & Finance
External Data
External Data
Data Governance
Data Governance
Key Elements
  • Source mapping
  • Data frequency
  • Data ownership
  • Extraction rules
  • Data dictionaries
  • Metadata standards
Risk Signals
  • Fragmented data sources
  • Missing critical fields
  • Delayed data submission
  • Low response rates
  • Unstructured data
  • Unclear data ownership
Dashboard Preview
Data Completeness
86%
Good
Source Coverage
92%
Timeliness (Days)
4.2
Good
Record Volume (M)
2.8M
Data Quality Index
88%
Good
Improvement Actions
  • Standardize data definitions and coding across sources
  • Expand automated feeds and reduce manual uploads
  • Improve data dictionaries and metadata completeness
  • Strengthen completeness checks and validation rules
  • Monitor response rates and enact engagement plans
Pillar
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