Overview
ISO/TS 18864:2017 - Health informatics - Quality metrics for detailed clinical models - defines objective, reliable and reproducible quality metrics for Detailed Clinical Models (DCMs). The Technical Specification specifies the principal metrics considered necessary and sufficient to evaluate DCMs so stakeholders can make evidence‑based decisions about model development, selection, implementation and governance. ISO/TS 18864:2017 targets those building, evaluating or using standardized clinical content in EHR systems and interoperability artifacts.
Key topics and technical requirements
- DCM quality framework: a structured approach describing quality characteristics and how metrics fit into assessment processes.
- Quality metric categories:
- Design and development - stakeholder participation, translations, relationships and verification/approval processes.
- Per DCM - conformance to modelling standards and formal syntaxes.
- Metadata - versioning, purpose, target patient population, intended uses, discipline, authorship and review history.
- Per data element - valid value sets, terminology binding and the use of standard units/data types.
- Governance - maintenance organization, user feedback mechanisms, specializations/extensions and clinician validation.
- Principles emphasized: use of standard terminologies; representation in standard modelling languages; community review/approval; evidence‑based development and traceable metadata.
- Measurability: metrics are defined to be objective, reproducible and actionable, enabling quantitative assessment of model quality.
Practical applications
- DCM development: developers use the metrics as quantitative guidelines during model authoring and testing to ensure consistency and reuse.
- Model selection and procurement: clinical and IT teams can compare candidate DCMs objectively for EHR integration, clinical decision support or analytics.
- Interoperability and data quality: standardized DCMs with strong metadata and terminology bindings improve data exchange, queryability and secondary use (research, quality measurement, clinical trials).
- Governance and certification: certification bodies and organizational leaders can define acceptance criteria and maintenance workflows based on ISO/TS 18864 metrics.
- Clinical decision support & reporting: high‑quality DCMs enable reliable CDS, structured documentation, reporting and population health analytics.
Who should use this standard
- DCM developers and modelers
- Clinical and IT professionals in healthcare organizations
- Health IT vendors and technical staff
- Standards developers and informatics experts
- National/regional health IT leaders and certification bodies
Related standards
- ISO/TS 13972 (related clinical modelling activities)
- ISO 13606-2 / openEHR archetypes (modelling formalisms referenced)
- CIMI, HL7 and EuroRec work (harmonization and repositories)
ISO/TS 18864:2017 complements these by defining how to measure and assure DCM quality for interoperable, reusable clinical content.