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Difference between revisions of "FHIR Ontology Requirements"

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This page is OBSOLETE. RDF Work has moved [https://confluence.hl7.org/pages/viewpage.action?pageId=66922543 Here]</div>
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'''DRAFT'''
 
'''DRAFT'''
  
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=== 1.  FHIR Instance Mappings ===
 
=== 1.  FHIR Instance Mappings ===
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'''(MUST)''' We must define lossless bi-drectional transformations from FHIR resource XML/JSON instances to FHIR RDF instance data and vice versa.  This round-tripping must not be dependent on any information other than the definition of FHIR resources and data types.  (I.e. round-tripping must not be dependent on FHIR profiles, vocabulary definitions or other external information.)
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'''(MUST)''' We must define lossless bi-drectional transformations from FHIR XML/JSON resource instances to FHIR RDF resource instances and vice versa.  FHIR RDF resource instance data that is transformed into FHIR XML resource instance data must validate against schemas and declared profiles.  This round-tripping must not be dependent on any information other than the definition of FHIR resources and data types.  (I.e. round-tripping must not be dependent on FHIR profiles, vocabulary definitions or other external information.)
  
 
=== 2. FHIR Ontology Mappings ===
 
=== 2. FHIR Ontology Mappings ===
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'''(SHOULD)''' In the RDFS/OWL Ontology representation, should expose at least minimal annotation information for display in an ontology editor for use by humans
 
'''(SHOULD)''' In the RDFS/OWL Ontology representation, should expose at least minimal annotation information for display in an ontology editor for use by humans
  
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=== 8. User Friendly ===
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=== <strike>8. User Friendly</strike> ===
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'''(DROPPED)''' <strike>RDF/OWL expressions should be (business, clinical) user friendly and understandable.</strike>
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<strike>RDF/OWL expressions should be (business, clinical) user friendly and understandable.</strike> <br>
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''(This was felt to be unachievable.)''
  
 
=== 9. Datatype IRIs ===
 
=== 9. Datatype IRIs ===
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To support inference it would help if datatypes (date, dateTime, value, etc.) were represented as IRIs (xsd) rather than as string literals.  
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'''(SHOULD)''' To support inference, datatypes (date, dateTime, value, etc.) should be represented as IRIs (xsd) rather than as string literals.
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: ''QUESTION: Some of the types (e.g. date) are the union of multiple xsd types (xs:date, xs:gYearMonth, xs:gYear).  Can OWL/RDFS handle that?''
 
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:: ''(MT) Here we need to stick on primary data types as complexes data type are hard to handle. Also we have to keep in mind that OWL cannot handle all data types. The solution would be to de-compose the complexes datatypes into native ones and use them in pieces of patterns /models''
 
  
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=== 10. Articulate Value ===
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=== <strike>10. Articulate Value</strike> ===
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Clearly articulate the value of the new RDF/RDFS/OWL representation over the current XML/JSON representation
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<strike>Clearly articulate the value of the new RDF/RDFS/OWL representation over the current XML/JSON representation</strike>
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* Objective here isn't "you should do RDF/etc. instead of JSON/XML", but rather "these are the circumstances in which RDF/etc. would provide value-add"
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<br>''(This will be a separate goal of the group, rather than a FHIR ontology requirement.)''
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:: ''(DBooth) This seems like a helpful thing to do, but it does not sound like a requirement of the FHIR ontology itself.''
 
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:: ''(LM) Agree''
 
  
 
=== 11. Enable Inference ===
 
=== 11. Enable Inference ===
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Enablement of OWL/RDFS inference – so we could identify use cases that cannot be easily done based on the XML/JSON representation
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'''(MUST)''' The FHIR ontology must support inference on FHIR instance data, both in use cases based on the open world assumption and in use cases based on the closed world assumption.
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: ''QUESTION: What kinds of inference do you have in mind?''
 
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:: ''ANSWER:'' See some of the use cases below
 
  
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=== 12. Common Model ===
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=== <strike>12. Common Model</strike> ===
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Create a common OWL/RDFS representation for information model elements and medical terminology concepts.
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<strike>Create a common OWL/RDFS representation for information model elements and medical terminology concepts.</strike>  <br>''(This may be pursued as a separate project of the group.)''
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* (LM)I'm not sure what this means.  I think the scope of this project is limited solely to FHIR models and value sets?
 
  
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=== 13. Valid Against Schemas and Profiles ===
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=== <strike>13. Valid Against Schemas and Profiles</strike> ===
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Transformations into FHIR must validate against Schemas and Profile
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''(Merged into #1.)''
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* (LM) Not sure what this means  The RDF syntax will *be* FHIR - it won't be a translation into FHIR.  It'll just be one of the permitted syntaxes.  If this means that data that is converted from RDF into the other syntaxes needs to be valid, I think that's covered by #3 (Round tripping).
 
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* (DBooth) I think this is covered by #3 (round tripping).
 
  
 
=== 14. RDF Quality ===
 
=== 14. RDF Quality ===
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'''(MUST)''' Transformations into RDF must meet software quality checks including ontological closure.  The RDF instance which is transformed from FHIR must be capable of being opened without further modification by widely available tools including Protégé and the RDF must meet quality checks including successful closure of graphs - all the links are understood by the tool.
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'''(MUST)''' Transformations into RDF must meet software quality checks including ontological closure.  The RDF instance which is transformed from FHIR XML or FHIR JSON must be capable of being opened without further modification by widely available tools including Protégé and the RDF must meet quality checks including successful closure of graphs - all the links are understood by the tool.
  
 
=== 15. Auto Generated ===
 
=== 15. Auto Generated ===
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'''(SHOULD?)''' The FHIR ontology should be auto-generatable from the FHIR specification.
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'''(MUST)''' The FHIR ontology and FHIR RDF instance data mappings should be auto-generatable from the FHIR specification.
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=== <strike>16. Profiles from OWL</strike> ===
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<strike>'''(MAY)''' We may find a way to transform OWL/RDF ontologies into FHIR profiles.</strike><br>''(Subsumed by #2)''
  
 
== USE CASES ==
 
== USE CASES ==

Latest revision as of 20:27, 15 July 2021

This page is OBSOLETE. RDF Work has moved Here


DRAFT

Desiderata

How FHIR profiles are approached, designed, constrained, or extended should be based on a formal logical model. That model should be explicit and be developed prior to the profiles that result from it. Without such a model to operate from, FHIR will lack the semantic and structural consistency required to make FHIR computable.

Requirements

Priorities are indicated using MoSCoW terms (MUST, SHOULD, COULD, WON'T).

1. FHIR Instance Mappings

(MUST) We must define lossless bi-drectional transformations from FHIR XML/JSON resource instances to FHIR RDF resource instances and vice versa. FHIR RDF resource instance data that is transformed into FHIR XML resource instance data must validate against schemas and declared profiles. This round-tripping must not be dependent on any information other than the definition of FHIR resources and data types. (I.e. round-tripping must not be dependent on FHIR profiles, vocabulary definitions or other external information.)

2. FHIR Ontology Mappings

(MUST) We must define lossless bi-directional transformations from FHIR Profile instances (XML/JSON/RDF) to OWL/RDFS ontology representations and vice versa

3. Complete FHIR Coverage

(MUST) The RDF representation of FHIR resource instance data must be capable of expressing all legal FHIR instances that make use of any valid FHIR profiles, including extensions. An RDF instance data representation that is limited to only a subset of possible FHIR instances is not acceptable.

4. Monotonic with Modifier Exensions

(MUST) FHIR RDF data with modifier extensions must be "safe" for RDF reasoning, i.e., the semantics of the RDF must be monotonic even in the presence of modifier extensions.

5. Vocabulary Bindings

(MUST) The FHIR ontology must support vocabulary bindings to code, Coding and CodeableConcept - including dealing with extensible value sets and multi-code system value sets.

(SHOULD) The FHIR vocabulary representation should be able to leverage existing semantic web terminology representations (e.g. SNOMED-CT)

6. Enforce Constraints

(SHOULD) The FHIR ontology should enforce constraints that are representable in OWL/RDF whenever possible, e.g. schema constraints, regular expressions, etc.

7. Annotation Information

(SHOULD) In the RDFS/OWL Ontology representation, should expose at least minimal annotation information for display in an ontology editor for use by humans

8. User Friendly

RDF/OWL expressions should be (business, clinical) user friendly and understandable.
(This was felt to be unachievable.)

9. Datatype IRIs

(SHOULD) To support inference, datatypes (date, dateTime, value, etc.) should be represented as IRIs (xsd) rather than as string literals.

10. Articulate Value

Clearly articulate the value of the new RDF/RDFS/OWL representation over the current XML/JSON representation
(This will be a separate goal of the group, rather than a FHIR ontology requirement.)

11. Enable Inference

(MUST) The FHIR ontology must support inference on FHIR instance data, both in use cases based on the open world assumption and in use cases based on the closed world assumption.

12. Common Model

Create a common OWL/RDFS representation for information model elements and medical terminology concepts.
(This may be pursued as a separate project of the group.)

13. Valid Against Schemas and Profiles

(Merged into #1.)

14. RDF Quality

(MUST) Transformations into RDF must meet software quality checks including ontological closure. The RDF instance which is transformed from FHIR XML or FHIR JSON must be capable of being opened without further modification by widely available tools including Protégé and the RDF must meet quality checks including successful closure of graphs - all the links are understood by the tool.

15. Auto Generated

(MUST) The FHIR ontology and FHIR RDF instance data mappings should be auto-generatable from the FHIR specification.

16. Profiles from OWL

(MAY) We may find a way to transform OWL/RDF ontologies into FHIR profiles.
(Subsumed by #2)

USE CASES

Real world use cases that require and demonstrate the value of an RDF/OWL representation - TBD

  • Identify (through extension profile properties) inheritance relationships to abstract concepts and properties that hold across resources. E.g. "All orders", "All interventions", "All medications"
  • Allow easy testing of subsumption relationships between profiles - "Profile A is a proper constraint on Profile B"
  • Allow validation of mappings between FHIR elements and RIM, v2 and other models to:
    • Ensure that mapped to elements and paths actually exist
    • Allow identification of overlapping or unclear semantics in FHIR (as well as poorly expressed/imprecise mappings)
  • Allow FHIR-based data to be linked to other RDF data and queried via technologies such as SPARQL
  • Provide a recommended syntax for persisting FHIR data as triple-stores, allowing reasoning capabilities to be exercised (e.g. subsumption testing of codes when querying)
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