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Indicator Classification

The Health Data Readiness Level (HDRL) Framework uses a dual classification system: the original Core/Enhancement distinction for continuity, plus an explicit Applicability Class for role-based assessment.

How to read applicability

The classification terms below describe the internal logic of HDRL assessments. They do not create official UK Health Data Research Service (HDRS) participation requirements—or requirements for any other programme—and do not replace decisions made through legal, governance, assurance or programme processes.


Indicator Type

Type Description
Core Essential controls and capabilities for participation
Enhancement Improves quality, efficiency, and scale but is not required for baseline participation

Applicability Class

Class Name Description
B0 Baseline Core Included in HDRL v1.0.1's general baseline assessment profile
Cx Capability Core Included in HDRL v1.0.1 only when assessing capability module x (1–6) from the original project mapping
O Optional / Enhancement Good practice; informs roadmaps but not required for baseline or capability readiness
Y Outcome / Context Reported for awareness and benefit tracking but excluded from readiness scoring

The C1–C6 codes preserve the six goals used in the framework's first project context. Three related but distinct mappings need to be kept separate:

  1. Applicability Class (Cx) identifies the seven capability-defining indicators in HDRL v1.0.1.
  2. Section 7 of the canonical applied-v1 method source provides the broader indicator-to-capability map, including cross-cutting and other indicators relevant to each capability.
  3. The 3 Nations assessment used a selected subset of the broader mapping, documented with that application rather than treated as a permanent property of the core catalogue.

Capability-defining Cx indicators

The table below shows the indicators whose Applicability Class contains a C code.

Code Original capability or goal Capability-defining indicators in HDRL v1.0
C1 Linked national-scale data B.1.1 Common Data Model Adoption; B.1.2 Terminology Standards
C2 Consented cohort data A.4.1 Consented Cohort Integration
C3 Multi-modal data A.4.2 Multi-Modal Data Access; H.4.2 Responsible AI Practices (shared C3/4)
C4 Trial acceleration D.4.1 Trial Data & Recruitment; H.4.2 Responsible AI Practices (shared C3/4)
C5 Single-entry point with secure environments No separate C5-class indicator. In HDRL v1.0 this goal was represented primarily through B0 indicators and their original capability mapping.
C6 Cross-sector linkage C.3.3 Cross-sector Data Sharing & Linkage Governance

The broader map is available in Section 7 of the complete framework source. The selected subsets used in the first field application are documented under the 3 Nations assessment. Neither is a current HDRS requirement or a universal rule for future HDRL use.

Important

Some indicators labelled as Enhancement are capability-defining (e.g., multi-modal data access, trial acceleration) and are treated as Cx when assessing that capability.

Why the C1–C6 codes remain

The six modules preserve the capability proposition described by the Department of Health and Social Care and Wellcome at the start of the HDRS programme in 2025. They are retained so that HDRL v1.0 and the 3 Nations assessment remain reproducible; they are not a claim about the capability set that current HDRS leadership will take forward. Users outside HDRS can apply the baseline, optional and outcome/context classifications without adopting this programme-specific mapping.

Unit of Assessment Tags

Tag Level Description
S System Nation or health system level
V Service Individual secure data environment (SDE) or data service level
B Both Can be assessed at either level

Statistics

The framework uses several classifications for different purposes. Type, Applicability Class and Unit are three separate ways of partitioning the same 64 indicators; they should not be added together across groups.

By indicator type — complete partition of 64

Type Count
Core 43
Enhancement 21
Total 64

By applicability class — complete partition of 64

Class Count
Baseline Core (B0) 37
Capability Core (Cx) 7
Optional / Enhancement (O) 16
Outcome / Context (Y) 4
Total 64

By unit of assessment — complete partition of 64

Unit Count
System (S) 11
Service (V) 14
Both (B) 39
Total 64

Cross-cutting designation: the five proposed Foundational Indicators are a subset of the 37 Baseline Core indicators. They are not an additional class and should not be added to the class totals.

Scoring Rules

  • Domain scores: Median of Core indicators excluding Outcome/Context (Y) within the domain
  • Baseline assessment: Focus on B0 indicators
  • Capability assessment: Score the subset mapped to that capability (including capability-defining enhancements)
  • Enhancement indicators: Inform the overall picture and roadmap but do not affect baseline domain scores
  • Outcome/Context (Y): Reported separately, do not affect readiness scoring