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Exchange Content Model
        (ECM)
    Getting there...

 Koray Atalag, MD, PhD, FACHI
      k.atalag@nihi.auckland.ac.nz
  koray.atalag@openehrfoundation.org
What is ECM?
• IT IS A REFERENCE LIBRARY - for consistent HIE Payload (CDA)
• Superset of all clinical dataset definitions
   – normalised using a standard EHR record organisation (aka DCM)
   – Expressed as reusable and computable models – Archetypes
• Top level organisation follows CCR*
• Further detail provided by:
   – Existing relevant sources (CCDA, Nehta, epSoS, FHIR etc.)
   – Extensions and new Archetypes (NZ specific)
• Each HIE payload (CDA) will correspond to a subset (and conform)
What’s the value proposition of ECM? Why not just build CDAs?


* kind of – CCDA may be more appropriate
ECM > Payload
Creating Payload
          ?
Archetypes
• The way to go for defining clinical content
   CIMI (led by S. Huff @ Intermountain & Mayo)
   In many nat’l programmes (eg. Sweden, Slovenia, Australia, Brazil,
     Scotland)
• Smallest indivisible units of clinical information with clinical context
• Brings together building blocks from Reference Model (eg. record
  organisation, data structures, types)
• Puts constraints on them:
    –   Structural constraints (List, table, tree, clusters)
    –   What labels can be used
    –   What data types can be used
    –   What values are allowed for these data types
    –   How many times a data item can exist?
    –   Whether a particular data item is mandatory
    –   Whether a selection is involved from a number of items/values
Logical building blocks of EHR

EHR
Folders
Compositions
Sections
Entries
Clusters
Elements
Data values
BP Measurement Archetype
Extending ECM
• Addition of new models
• Making existing models more specific
   – powerful Archetype specialisation mechanism:
   – Lab result > HbA1C result, Lipid profiles etc.

  Problem          First level specialisation



  Text or Coded Term           Diagnosis              Second level specialisation
  Clinical description
  Date of onset               Coded Term                 Diabetes
  Date of resolution          +                          diagnosis
  No of occurrences           Grading                  +
                               Diagnostic criteria      Diagnostic criteria
                               Stage                     Fasting > 6.1
                                                          GTT 2hr > 11.1
                                                          Random > 11.1
Value Proposition
• Content is ‘clinician’s stuff’ – not techy; yet most existing standards are
  meaningless for clinicians and vice versa for techies
   – Archetypes in ‘clinical’ space – easily understood & authored by them
• Single source of truth for entire sector
   – One agreed way of expressing clinical concepts – as opposed to
      multiple ways of doing it with HL7 CDA (CCDA is a good first step)
• Archetypes can be transformed into numerous formats – including CDA
• Archetypes are ‘maximal datasets’
   – Much easier to agree on
• Scope not limited to HIE but whole EHR; workflow supported
• ECM principle invest in information fulfilled completely
   – future proof content today for tomorrow’s implementation technology
      (e.g. FHIR etc., distributed workflows etc.)

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Exchange Content Model (ECM): Getting there

  • 1. Exchange Content Model (ECM) Getting there... Koray Atalag, MD, PhD, FACHI k.atalag@nihi.auckland.ac.nz koray.atalag@openehrfoundation.org
  • 2.
  • 3. What is ECM? • IT IS A REFERENCE LIBRARY - for consistent HIE Payload (CDA) • Superset of all clinical dataset definitions – normalised using a standard EHR record organisation (aka DCM) – Expressed as reusable and computable models – Archetypes • Top level organisation follows CCR* • Further detail provided by: – Existing relevant sources (CCDA, Nehta, epSoS, FHIR etc.) – Extensions and new Archetypes (NZ specific) • Each HIE payload (CDA) will correspond to a subset (and conform) What’s the value proposition of ECM? Why not just build CDAs? * kind of – CCDA may be more appropriate
  • 4.
  • 7. Archetypes • The way to go for defining clinical content  CIMI (led by S. Huff @ Intermountain & Mayo)  In many nat’l programmes (eg. Sweden, Slovenia, Australia, Brazil, Scotland) • Smallest indivisible units of clinical information with clinical context • Brings together building blocks from Reference Model (eg. record organisation, data structures, types) • Puts constraints on them: – Structural constraints (List, table, tree, clusters) – What labels can be used – What data types can be used – What values are allowed for these data types – How many times a data item can exist? – Whether a particular data item is mandatory – Whether a selection is involved from a number of items/values
  • 8. Logical building blocks of EHR EHR Folders Compositions Sections Entries Clusters Elements Data values
  • 10. Extending ECM • Addition of new models • Making existing models more specific – powerful Archetype specialisation mechanism: – Lab result > HbA1C result, Lipid profiles etc. Problem First level specialisation Text or Coded Term Diagnosis Second level specialisation Clinical description Date of onset Coded Term Diabetes Date of resolution + diagnosis No of occurrences Grading + Diagnostic criteria Diagnostic criteria Stage  Fasting > 6.1  GTT 2hr > 11.1  Random > 11.1
  • 11. Value Proposition • Content is ‘clinician’s stuff’ – not techy; yet most existing standards are meaningless for clinicians and vice versa for techies – Archetypes in ‘clinical’ space – easily understood & authored by them • Single source of truth for entire sector – One agreed way of expressing clinical concepts – as opposed to multiple ways of doing it with HL7 CDA (CCDA is a good first step) • Archetypes can be transformed into numerous formats – including CDA • Archetypes are ‘maximal datasets’ – Much easier to agree on • Scope not limited to HIE but whole EHR; workflow supported • ECM principle invest in information fulfilled completely – future proof content today for tomorrow’s implementation technology (e.g. FHIR etc., distributed workflows etc.)

Notas do Editor

  1. Published by HISO (2012); Part of the Reference Architecture for Interoperability“To create a uniform model of health information to be reused by different eHealth Projects involving HIE”Consistent, Extensible, Interoperable and Future-Proof Data
  2. Content is ‘clinician’s stuff’ – not techy; yet most existing standards are meaningless for clinicians and vice versa for techiesopenEHR Archetypes are in ‘clinical’ space – easily understood and authored by themArchetypes can be transformed into numerous formats – including CDAArchetypes are ‘maximal datasets’ e.g. They are much more granular than other models when needed. Support more use cases – indeed almost anything to do with EHR (including some workflow). Scope not limited to HIE but whole EHR.One agreed way of expressing clinical concepts – as opposed to multiple ways of doing it with HL7 CDA (CCDA is a good first step though)ECM invest in information fulfilled completely – future proof technology today with ECM for tomorrow’s implementation technology (e.g. FHIR etc., distributed workflows etc.)