2022-12-15 - SLPG Meeting

2022-12-15 - SLPG Meeting

Date & Time

10:00 to 11:00 UTC, Thursday 15th December 2022

Location

Zoom meeting link

Goals

  • Any further comments for postcoordinated transformations in phase 1

  • Open the review phase of the Postcoordination Guide

Attendees 

  • Chair: @Kai Kewley

  • Attendees: @michael lawley @Feikje Hielkema (Unlicensed) @roger.jane (Unlicensed) 

  • Staff: @Anne Randorff Højen @Alejandro Lopez Osornio 

 

Agenda and Meeting Notes

Description

Owner

Notes

Description

Owner

Notes

Welcome and agenda

All

 

Postcoordination Profile Levels

Implementation Team

Summary of Level 1 and 2 profiles agreed for Postcoordination Phase 1

 

  • Level 1 - TS expects expressions to be fully MRCM compliant

  • Level 2 - TS permits some non-MRCM compliant expressions for limited, predefined patterns

  • Level 3 - TS uses generic transformations, but gives warning/errors if transformation is "risky" (note: requires MRCM compliance after transformation)

  • Level 4 - TS uses generic transformations, but only gives warning/error if expression is not MRCM compliant after transformation

Discussion:

DK: Concern that once above level 1 transformation may happen without the user wanting it - because Close-to-User-Form and Classifiable-Form look the same.

Mitigation options:

  • Request could ask for transformation? How would this fit in with FHIR?

  • Syntax could include definition status (e.g. “===”) explicitly when transformation not wanted? Would fit with FHIR. 

    • The group like this option

  • Something in the response to detail any transformation?

  • Separate endpoint.

Expression communication - which form to send for interoperability?

  • Send classifiable form? (After transformation)

    • Receiving system wouldn’t have to support the same level of transformation

  • Send close to user form?

    • More robust against modeling change

    • Could be interpreted manually

  • Must send the code system version that the expression repository is dependent on

Transformation documentation

  • How should we express the agreed transformations?

    • Pairs of templates?

      • Limits of capability not known

    • How else?

      • English and pseudocode

        • Group preferred this option

  • How do we categorize a transformation as level 2?

    • Only transformations that can never go wrong (an undesired transformation without an error)

    • If the associated precondition are not all true then there is an error and the transformation fails

Transformations for Phase 1, based on Level 2:

  • 1. Procedure + Laterality

  • 2. Findings + Laterality

  •  

    •  

      • Precondition: Same as above

  • 3. Finding + context attribute? (More discussion needed)

  • 4. Disorder + severity / course?

    • TODO: Analysis of common sets needed - @Anne Randorff Højen 

  • 5 Procedure + priority / intent?

    • TODO: Analysis of common sets needed

  • 6. Any concept + specialisation of one existing attribute

Postcoordination Guide

@Anne Randorff Højen 

Anne will present the Postcoordination Guide which is ready for review by the languages group.

The items below are currently on hold

URIs for language instances

 

 

ECL v2.2 Proposal

 

Find the leaves of a set of concepts - example use case (find the proximal set in the international core / or in the IPS) - example:

  • Example use cases

    • Proximal ancestors in a specific module: (  > |concept|  {{ C moduleId = 1234 }} ) MINUS ( > (> |concept| {{ moduleId = 1234 }}) )

      • X =   "> |concept| {{ C moduleId = 1234 }}"

    • Leaf nodes:   < |concept| MINUS (> (< |concept|))

      • X =  " < |concept| "

    • Removing any redundant concepts (ie subsumes another concept) from a set of concepts

      • ^ |ref set| MINUS (> (^ |ref set|)

        • X = " ^ |ref set| "

Find the root concepts of a set of concepts - example use case (find the proximal set in the international core / or in the IPS) - example:

ECL v2.1 - Requirement proposals (to be archived)

All

Potential requirements for ECL v2.1 - Discussion and brainstorming

  • Daniel's comments

  • Context supplements - e.g.

    • << 56265001 |Heart disease|  {{ + CONTEXT }} – This syntax is too general, as there is a risk of including absent finding, not-done procedure and family history

    • << 56265001 |Heart disease| {{ + CONTEXT-DEFAULT }} ? – What would this mean?

      • Brief form:

        • [[@ecl_query]] {{ + Context (Temporal = [[ @temporal_value]]}}

      • Expanded form:

        • [[ @ecl_query ]] OR  (< 243796009 |Situation with explicit context|:
                  { ( 246090004 |Associated finding| = ( [[ @ecl_query ]] ) 
                         OR |Associated procedure| = ( [[ @ecl_query ]] )
                   ( |Procedure context| = |Done| OR |Finding context| = |Known present|),
                      |Subject relationship context| = |Subject of record|,
                       |Temporal context| = [[ @temporal_value ]] } )

      • Example 1: << |Heart procedure| {{ + Context (Temporal = *) }}

        • <<  |Heart procedure| OR  (< 243796009 |Situation with explicit context|:
                  { 246090004 |Associated finding| = << 56265001 |Heart disease|,
                      |Procedure context| = |Done|,
                      |Subject relationship context| = |Subject of record|,
                       |Temporal context| = * } )

        • Example 2: (<< |Heart disease| OR << |Heart procedure| ) {{ + Context (Temporal = *) }}

          • <<  |Heart procedure| OR  (< 243796009 |Situation with explicit context|:
                    { ( 246090004 |Associated finding| = (<< |Heart disease| OR << |Heart procedure| ) 
                           OR |Associated procedure| = ( << |Heart disease| OR << |Heart procedure| ) )
                        ( |Procedure context| = |Done| OR |Finding context| = |Known present|),
                        |Subject relationship context| = |Subject of record|,
                         |Temporal context| = * } )

      • << 56265001 |Heart disease| {{ + Context (Temporal = *, FindingContext=<<|Known present| }}

        • Will return all types of heart disease, plus concepts like 394886001 |Suspected heart disease (situation)|, and 429007001 |History of cardiac arrest (situation)|

        • Expands to: 

          • << 56265001 |Heart disease| OR
              (< 243796009 |Situation with explicit context|:
                    { 246090004 |Associated finding| = << 56265001 |Heart disease| } )

    • However, you may want to exclude (or include) specific contexts - for example:

      1. To ensure that the finding was about the subject of the record (and not a family history, e.g. to exclude 429959009 |Family history of heart failure (situation)|), you could say:

        • << 56265001 |Heart disease|  {{ + CONTEXT (relationship = 410604004 |Subject of record| }}

      2. To ensure that the finding was 'Known present' (e.g. to exclude 394926003 |Heart disease excluded (situation)|), you could say:

        • << 56265001 |Heart disease|  {{ + CONTEXT (finding_context = << 410515003 |Known present| }}

      3. To ensure that the finding was about the subject of the record AND known present, you could say:

        • << 56265001 |Heart disease|  {{ + CONTEXT (relationship = 410604004 |Subject of record|, 
                                                                                                    finding_context = << 410515003 |Known present| }}

      4. ?? Is there any use case for restricting adding temporal context? (e.g. temporal != << 410513005 |In the past|)

    • Is any more syntactic sugar required? E.g.

      • {{ + CONTEXT (relationship = self, finding context = present, temporal != past) }}

      • {{ + CONTEXT (self, present, ! past) }}

    • Other ideas? Common profiles?

  • --------------------------

  • Ability to return attribute types (see proposal below)

    • [ attributes ] << 125605004 |Fracture of bone (disorder)|

    • << 125605004 |Fracture of bone (disorder)| . Attributes

    • << 125605004 |Fracture of bone (disorder)| . (<< 125605004 |Fracture of bone (disorder)| . Attributes )

    • [ attribute, value] << 125605004 |Fracture of bone (disorder)|

  • -------------------------

  • Reverse membership (see below)

    • Which reference sets "contain" the given concept(s) - e.g. 421235005 |Structure of femur|?

      • 421235005 |Structure of femur| . Refsets

      • 421235005 |Structure of femur|. Refsets [ referencedComponentId ]

      • 421235005 |Structure of femur| . Refsets [ targetComponentId ]

  • --------------------------

  • Other?

Returning Attributes

@michael lawley

  • Currently ECL expressions can match (return) concepts that are either the source or the target of a relationship triple (target is accessed via the 'reverse' notation or 'dot notation', but not the relationship type (ie attribute name) itself. 

For example, I can write: 

<< 404684003|Clinical finding| : 363698007|Finding site| = <<66019005|Limb structure| 

<< 404684003|Clinical finding| . 363698007|Finding site| 

But I can't get all the attribute names that are used by << 404684003|Clinical finding| 

Reverse Member Of

@michael lawley

What refsets is a given concept (e.g. 421235005 |Structure of femur|) a member of?

  • Possible new notation for this:

    • ^ . 421235005 |Structure of femur|

    • ? X ? 421235005 |Structure of femur| = ^ X

Postcoordination Topics

 

  • Discuss feedback on transformation implementation

    • Resources

    • Recap of SNOMED on FHIR discussions

      • What is the functionality scope of a terminology server that supports postcoordination? For example, does it include:

        • Classifying multiple expressions in a single substrate? What are the use cases for this?

        • Assigning (local) identifiers to expressions? What are the use cases for this?

        • Autogenerating or assigning a term to an expression? What are the use cases for this?

      • Does a terminology server that supports postcoordination, include all the functions of an expression repository?

      • What is the relationship between a terminology server that supports postcoordination, and an expression repository?

    • Outstanding questions

      • What are the pros and cons of extending SCG to allow an expression as the focus of a postcoordinated expression?

        • Note: This was raised in context of a NNF generated over a postcoordinated substrate, where the proximal parent is an expression

      • Example of using expressions in focus concept

        • 125605004 |Fracture of bone|:363698007 |finding site| = 84167007 |Foot bone| )
          272741003 |Laterality| = 7771000 |Left|

        • 125605004 |Fracture of bone|:363698007 |finding site| = 84167007 |Foot bone| , 
          272741003 |Laterality| = 7771000 |Left|

      • What is the expected NNF when classifying an expression that is equivalent to a precoordinated concept? For example:

        • Expression that is equivalent to 111273006 |Acute respiratory disease|

        • 64572001 | Disease (disorder) | :
          {263502005 |Clinical course (attribute)| = 424124008 |Sudden onset AND/OR short duration (qualifier value)|}
          {363698007 |Finding site (attribute)| = 89187006 |Airway structure (body structure)|}

        • Options:

          1. 111273006 |Acute respiratory disease| :
            {263502005 |Clinical course| = 424124008 |Sudden onset AND/OR short duration|}
            {363698007 |Finding site| = 89187006 |Airway structure|}

          2. 50043002 |Disorder of respiratory system (disorder)| +
            2704003 |Acute disease (disorder)| :
            {263502005 |Clinical course| = 424124008 |Sudden onset AND/OR short duration|}
            {363698007 |Finding site| = 89187006 |Airway structure|}

          3. Other?

    • Recap of internal discussions with Content Team

      • Inter-attribute dependencies

      • Grouping rules

Dynamic Templates

 

  • Continue discussion on dynamic templates

    • Inter-attribute dependencies

      • Acute/Chronic and Inflammation - Adding a clinical course requires specializing the inflammation morphology 

        • E.g. |Pyelonephritis| : |Clinical course| = |Chronic|
          should be
          |Pyelonephritis| : |Clinical course| = |Chronic|, |Associated morphology| = |Chronic inflammation|

        • E.g. |Pyelonephritis| : |Clinical course| = |Sudden onset AND/OR short duration|
          should be
          |Pyelonephritis| : {|Clinical course| = |Sudden onset AND/OR short duration||, |Associated morphology| = |Acute inflammation|

      • Infectious Causative Agents - Adding a |causative agent| = |Domain Bacteria| or |Virus| requires adding a |Pathological process| = |Infectious process|

        • E.g. |Nephritis|: |Causative agent| = |Domain bacteria|
          should be
          |Nephritis|: |Causative agent| = |Domain bacteria|, |Pathological process| = |Infectious process|

      • Congenital and Acquired - Adding an |Occurrence| of |Congenital| to a focus concept with an abnormal morphology, requires adding a |Pathological process| of |Pathological development process|

        • E.g. |Koilonychia|: |Occurrence| = |Congenital|
          should be
          |Koilonychia|: |Occurrence| = |Congenital|, |Pathological process| = |Pathological developmental process|

      • Situations with Explicit Context 

      1. if the procedure context = |Planned|, then the temporal context should be << |Current of specified time|

        1. If the procedure context = |In progress|, then the temporal context should be << |Current|

        2. If the procedure context = |Performed| or |Done|, then the temporal context should be << |Current or past (actual)|

      • Note: for this use case (of |Procedure with explicit context|) perhaps we just recommend (or require) that the full role group is spelled out.

      • Next steps

        • Representation of the content rules

          • Who creates the complete list of rules and how?

            • What formalism?

            • Determine which are mandatory and which are optional

          • Implementation of content rules - e.g.

            • Guided data entry by pre-populating role groups in expression template based on definition of focus concepts (for design-time use, such as mapping)

            • Mandatory content rules could be added to transform process

Postcoordination Use Case Examples

All

Example 1 - Dentistry / Odontogram

  • Requires an expression template to create expressions.

  • Resulting expression still requires a transformation to make it classifiable

Example 2 - Terminology binding

  • Uses a fixed expression template to combine codes entered into separate fields

  • The procedure+laterality example still requires a transformation to make it classifiable

Example 3 - Mapping

  • Design-time activity

  • Map targets may not be able to be fully represented using concept model attributes

  • In many cases, an extension (with primitive concepts) should be recommended where there are gaps in the mapping

  • There may be some cases in which postcoordination is helpful (e.g. LOINC to SNOMED CT map)

Example 4 - Natural Language Processing

  • Usually run-time activity.

  • May require manual confirmation of coding suggestions (unless low clinical risk, eg for suggesting relevant patient records for manual review)

Postcoordination Guidance

@Anne Randorff Højen , @Kai Kewley

Practical Guide to Postcoordination

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