Amsterdam 2014

Venue: 
IHTSDO November meeting Amsterdam
Meeting date: 
Saturday, November 1, 2014 - 09:00 to Monday, November 3, 2014 - 17:00

Agenda

Agenda November 1, 2014
Topic Lead
Welcome and Meeting Overview Stan Huff
CIMI Overview and Update Stan Huff
CIMI as part of IHTSDO Discussion Stan Huff
Clinical Decision Support Strategies Rong Chen
2015 Plan
  • Meeting schedule
  • Model content development priorities
Stan Huff
Tooling Approach and Plans - initial ideas
  • Alignment with IHTSDO Tooling Plans
  • Terminology Service
Stan Huff,
Thomas Beale,
Dave Carlson
CIMI Joint Activities
  • Center for Medical Interoperability
  • HSPC – SMART on FHIR
  • S&I Framework – DAF, SDC, vMR
  • VA – SOLOR
  • SemanticHealthNet
  • Professional societies – ACS, ACOG, AMA
Stan Huff,
All
Overview of MTF progress and proposed decisions
  • Strategy for value set binding
  • Strategy for semantic binding of attributes
  • Grouping of laboratory specialization
  • Minimal reference model
Linda Bird
AML Update Harold Solbrig
Website Update Sarah Ryan,
Evert Jan Hoijtink
Agenda November 2, 2014
Topic Lead
MTF modeling style discussion
  • Review laboratory models
  • Problem list model
Stan Huff,
Linda Bird
Example instance data Linda Bird
CIMI Terminology Service Harold Solbrig
International collaboration for a National Registry for Rare Diseases in Japan Hiroshi Mizushima
Model Curation Process Design Stan Huff
Archetype Work Bench tutorial/review Thomas Beale
Agenda November 3, 2014
Topic Lead
Issues of Modeling Style and Approach
  • Confirm that the service has the responsibility to format data in the preferred model as opposed to having the application deal with any valid isosemantic form of the model
  • Representation of “leaf” models as model files or as a tuple?
  • Pre versus post coordination of method, specimen, and timing in the CIMI preferred lab models?
  • What is our approach to indicating which models are the CIMI preferred models?
  • Language attribute – add it to statement and remove it from the coded_text data type in the reference model?
  • Different coded_text data type for single code versus code expressions?
Stan Huff,
All
Semantic and Terminology Binding Language
  • Use in CIMI Models
  • Query
  • Transform
Stan Huff,
All
Next Steps Stan Huff

Location meeting:

Presentations and documents

8 documents available. Click on title for a preview and details.

Author: Thomas Beale, Stan Huff Document: PDF icon CIMI/IHTSDO DCM tooling ecosystem thoughts

These slides describe a possible semantic health modelling environment for CIMI / IHTSDO, featuring:

Next generation archetype / template tools Integrated terminology subset authoring Model management tool - CKM AML-enabled UML tooling With underlying IHTSDO terminologies, including SNOMED CT and LOINC
Author: Linda Bird Document: File CIMI Modelling Taskforce Example Instances

Clinical - Forms based - Data entry to add data instances - Support clinical verification - Both good and bad examples
Technical - Multiple formats (with a primary format?) - To support implementations - Transformable to other representations - Both good and bad examples

Author: Linda Bird Document: File CIMI Modelling Taskforce Progress Report

Modelling Taskforce was established to:

Develop CIMI's modelling methodology
Create an initial set of CIMI clinical models
Further test and develop CIMI technical models, including: - CIMI reference model - Archetype Object Model 1.5, and CIMI terminology.

Author: Rong Chen Document: File Clinical Decision Support

The common goal of improving healthcare using health IT
Clinical decision support (CDS) as a key enabler
Clinical knowledge management through the use of informatics
Scalable CDS product/services across sites/countries

Author: Rong Chen Document: PDF icon Clinical Decision Support Strategies

The common goal of improving healthcare using health IT − Patient safety, treatment efficacy and efficiency
Clinical decision support (CDS)as a key enabler − Safety net to catch error − Speed up spread of best practices & evidence-based medicine
Clinical knowledge management through the use of informatics − Computerized artefacts instead of narrative guidelines − Break the barriers of natural languages and terminologies
Scalable CDS product/services across sites/countries − Not just a black-box behind thin web services − Global library of CDS logic / apps / modules

Author: Hiroshi MIZUSHIMA, Yoko SATO, Mai TANABE, Kumiko IIJIMA, Yasuhiro KANATANI Document: PDF icon International collaboration for a National Registry for Rare Diseases in Japan

Implementation in Rare Disease

One of the field for Application for Modeling But as patients are rare International Cooperation needed International research project ( IRDiRC … ) International Registry Policy driven project ( Mandatory, Top-down .. Stakeholders limited