Information Science Archetype

An Information Science Archetype is a 3rd-party open domain modeling archetype that provides computable expressions of domain content models through structured constraint statements (based on reference models for semantic interoperability).

• AKA: Archetype Model, Domain Content Archetype, Formal Archetype Model, Informatics Archetype.
• Context:
  • It can typically enable Semantic Interoperability through information science archetype constraints and information science archetype semantic definitions.
  • It can typically express Clinical Concepts through information science archetype clinical structures and information science archetype medical terminology.
  • It can typically support Two-Level Modeling through information science archetype reference models and information science archetype content specifications.
  • It can typically separate Structural Definitions from information science archetype clinical content through information science archetype modeling layers.
  • It can typically facilitate Knowledge Sharing through information science archetype reusable models and information science archetype domain patterns.
  • It can typically enforce Semantic Consistency through information science archetype constraint mechanisms and information science archetype validation rules.
  • It can typically provide Computable Representations through information science archetype formal expressions and information science archetype structured definitions.
  • It can typically maintain Data Interoperability through information science archetype standard formats and information science archetype exchange protocols.
  • It can typically ensure Future-Proof Design through information science archetype stable reference models and information science archetype evolving content models.
  • ...
  • It can often support Multilingual Documentation through information science archetype language bindings and information science archetype terminology mappings.
  • It can often enable Clinical Decision Support through information science archetype rule expressions and information science archetype constraint validation.
  • It can often support Archetype-Based Querying through information science archetype query languages like Archetype Query Language (AQL).
  • It can often facilitate System Integration through information science archetype standard interfaces and information science archetype data mappings.
  • It can often compose Template Definitions through information science archetype template composition and information science archetype use-case datasets.
  • It can often accommodate Local Specialization through information science archetype inheritance mechanisms and information science archetype refinement rules.
  • ...
  • It can range from being a Simple Information Science Archetype to being a Complex Information Science Archetype, depending on its information science archetype structural complexity.
  • It can range from being a Generic Information Science Archetype to being a Specialized Information Science Archetype, depending on its information science archetype domain specificity.
  • It can range from being a Single-Level Information Science Archetype to being a Multi-Level Information Science Archetype, depending on its information science archetype hierarchical depth.
  • It can range from being a Static Information Science Archetype to being a Evolving Information Science Archetype, depending on its information science archetype temporal stability.
  • ...
  • It can integrate with Clinical Terminology Standards for information science archetype vocabulary binding.
  • It can connect to Electronic Health Record Systems for information science archetype data persistence.
  • It can interface with Query Languages for information science archetype data retrieval.
  • It can communicate with Clinical Information Systems for information science archetype workflow support.
  • It can synchronize with Knowledge Repositorys for information science archetype version control.
  • It can collaborate through Clinical Knowledge Managers for information science archetype governance processes.
  • ...
• Examples:
  • Health Informatics Information Science Archetypes, such as:
    • OpenEHR Archetypes, such as:
      • Blood Pressure OpenEHR Archetype for information science archetype vital sign measurement (representing all information science archetype clinical information about blood pressure measurements).
      • Medication Order OpenEHR Archetype for information science archetype prescription management.
      • Laboratory Result OpenEHR Archetype for information science archetype diagnostic data.
      • Problem/Diagnosis OpenEHR Archetype for information science archetype clinical assessment.
    • EN 13606 Archetypes, such as:
      • EHR Extract Archetype for information science archetype data exchange.
      • Clinical Summary Archetype for information science archetype patient overview.
    • Clinical Document Architecture (CDA) Archetypes, such as:
      • Discharge Summary CDA Archetype for information science archetype hospital documentation.
      • Continuity of Care Document Archetype for information science archetype care transition.
  • Clinical Domain Information Science Archetypes, such as:
    • Observation Information Science Archetypes, such as:
      • Vital Signs Archetype for information science archetype physiological measurements.
      • Physical Examination Archetype for information science archetype clinical findings.
      • Symptom Archetype for information science archetype patient complaints.
    • Evaluation Information Science Archetypes, such as:
      • Risk Assessment Archetype for information science archetype clinical predictions.
      • Clinical Synopsis Archetype for information science archetype summary statements.
    • Instruction Information Science Archetypes, such as:
      • Therapeutic Order Archetype for information science archetype treatment directives.
      • Diagnostic Request Archetype for information science archetype test orders.
    • Action Information Science Archetypes, such as:
      • Procedure Archetype for information science archetype clinical interventions.
      • Medication Administration Archetype for information science archetype drug delivery.
    • Admin Entry Information Science Archetypes, such as:
      • Administrative Note Archetype for information science archetype non-clinical documentation.
      • Service Event Archetype for information science archetype healthcare activity.
  • Administrative Information Science Archetypes, such as:
    • Demographics Archetypes, such as:
      • Person Identity Archetype for information science archetype patient identification.
      • Address Archetype for information science archetype location structure.
    • Organization Archetypes, such as:
      • Healthcare Provider Archetype for information science archetype institution model.
      • Department Archetype for information science archetype organizational unit.
  • Workflow Information Science Archetypes, such as:
    • Care Plan Archetype for information science archetype treatment pathways.
    • Referral Archetype for information science archetype care coordination.
    • Episode of Care Archetype for information science archetype clinical encounters.
    • Instruction State Machine Archetype for information science archetype intervention lifecycles.
  • Language Expression Information Science Archetypes, such as:
    • ADL 1.4 Archetype for information science archetype definition language.
    • ADL 2 Archetype for information science archetype enhanced specifications.
    • AOM (Archetype Object Model) Archetype for information science archetype computational representation.
  • ...
• Counter-Examples:
  • Mathematical Models, which lack information science archetype domain constraints.
  • Service Models, which lack information science archetype clinical semantics.
  • Statistical Models, which lack information science archetype structured constraints.
  • Physical Data Models, which lack information science archetype clinical semantics and information science archetype reference model independence.
  • Template Models, which lack information science archetype reference model foundation.
  • Database Schemas, which lack information science archetype semantic interoperability.
• See: Information Technology, Health Informatics, Clinical Information Model, OpenEHR, OpenEHR Standard, Domain Concept, Knowledgebase, Ontology, Clinical Terminology Standard, Clinical Trial, Electronic Health Record (EHR), Archetype, Design Paradigm, Archetype Query Language (AQL), Two-Level Modeling, Reference Model, Semantic Interoperability, Health Level Seven (HL7) Standard, SNOMED-CT, LOINC, Information Schema, Video Game Character Class, Prototype, Evolutionary Archetype, Psychological Archetype, Joseph Campbell (1904-1987), Mythic Narrative Framework, Rags-to-Riches Story, Archetype Definition Language, Clinical Document Architecture, EN 13606, ISO 13606.

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References

2022

• (Wikipedia, 2022) ⇒ https://en.wikipedia.org/wiki/Archetype_(information_science) Retrieved:2022-3-5.
  • In the field of informatics, an archetype is a formal re-usable model of a domain concept. Traditionally, the term archetype is used in psychology to mean an idealized model of a person, personality or behaviour (see Archetype). The usage of the term in informatics is derived from this traditional meaning, but applied to domain modelling instead.

    An archetype is defined by the OpenEHR Foundation (for health informatics) as follows:

     :An archetype is a computable expression of a domain content model in the form of structured constraint statements, based on some reference model. openEHR archetypes are based on the openEHR reference model. Archetypes are all expressed in the same formalism. In general, they are defined for wide re-use, however, they can be specialized to include local particularities. They can accommodate any number of natural languages and terminologies.

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