Knowledge Modeling
Turn clinical knowledge into reusable, machine-readable logic
Model guidelines, protocols, and interpretations in a structured way and make them reusable across applications, workflows, and AI solutions.
Clinical knowledge often lives in documents: PDFs, protocols, guidelines, and local agreements.
With OTS Knowledge Modeling, you transform this knowledge into structured, machine-readable models that can be reused by multiple applications and services.
This prevents duplication of logic, inconsistent interpretation, and hard-coded rules across your IT landscape.
What you get with MappingTool
✩ One central source of truth for clinical knowledge
✩ No custom rules per application
✩ Consistent interpretation across systems
✩ Ready for automation, decision support, and AI
Model the knowledge behind your data
✩ Clinical guidelines
✩ Care pathways & protocols
✩ Decision rules and logic
✩ Interpretations of measurements and observations
✩ Domain-specific knowledge models
Benefits:
✩ Capture not just data meaning, but how to act on data
✩ Make tacit knowledge explicit and reusable
✩ Standardize interpretation across teams and applications
Directly linked to terminologies and semantics
Knowledge models in OTS are directly linked to your semantic layer and terminologies.
This ensures that guidelines and protocols are based on standardized, interoperable definitions.
✩ No ambiguity in definitions
✩ Interoperable by design
✩ Reusable across organizations and use cases
✩ Strong foundation for analytics and AI
Machine-readable & reusable
Knowledge models are exposed in a machine-readable way via the OTS API, allowing applications, workflow engines, and AI models to directly consume and apply them.
✩ Clinical decision support
✩ Automated workflow logic
✩ AI feature interpretation
✩ Validation and quality rules
✩ Compliance and guideline adherence
Benefits:
✩ Integrate once, reuse everywhere
✩ No duplication of logic
✩ Faster time-to-value for new applications
Governance, versioning & collaboration
✩ Versioned knowledge models
✩ Audit trails and change history
✩ Role-based access and approvals
✩ Support for local adaptations of guidelines
✩ Controlled publishing to production
Benefits:
✩ Safe collaboration between clinical, data, and IT teams
✩ Transparent changes and traceability
Part of your semantic knowledge layer
Knowledge Modeling is a native capability of the OTS platform.
It builds on your terminologies, mappings, and semantic models and exposes executable knowledge to your applications and AI pipelines.
Who uses Knowledge Modeling
✩ Healthcare organizations – standardize protocols across systems
✩ Clinical & quality teams – manage guidelines centrally
✩ Data & AI teams – use structured knowledge for reliable models
✩ IT & integrators – avoid hard-coding logic in applications
Open Terminology Server
Interested?
Please use the form below to contact us without obligation and inquire about the possibilities and the convenience that the Open Terminology Server can offer you.