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ICF machine: a web-based system for collection of ICF data.

Vincenzo Della Mea1, Valerio Fioresi

  • 1Dept. of Mathematics and Computer Science, University of Udine, Italy. vicenzo.dellamea@uniud.it

Studies in Health Technology and Informatics
|August 10, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces a new method for applying the International Classification of Functioning, Disability and Health (ICF) in digital systems. A Classification Markup Language (ClaML) profile and web tool were developed to manage ICF data effectively.

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Area of Science:

  • Health Informatics
  • Medical Classification Systems

Background:

  • The International Classification of Functioning, Disability and Health (ICF) is a WHO standard for health and disability.
  • Integrating the ICF into information systems presents challenges for data representation and collection.
  • Existing methods may not fully support the detailed structure and application of ICF subsets.

Purpose of the Study:

  • To develop an implementation profile in Classification Markup Language (ClaML) for representing ICF subsets.
  • To create a web-based system for collecting ICF data derived from its ClaML representation.
  • To test the efficacy of the ClaML profile and web application using multiple ICF subsets.

Main Methods:

  • An ICF implementation profile was designed using Classification Markup Language (ClaML).
  • A web-based application was developed to process ICF data structured in ClaML.
  • Seventeen ICF subsets were translated into ClaML and used to test the system's data collection capabilities.

Main Results:

  • The developed ClaML implementation profile successfully represented ICF subsets.
  • The web-based system effectively collected ICF data based on the ClaML representations.
  • Testing with 17 subsets demonstrated the feasibility of the approach for generating test documents.

Conclusions:

  • The ClaML implementation profile and web application provide a viable solution for integrating ICF data into information systems.
  • This approach facilitates the structured collection and management of ICF data, enhancing its usability.
  • The developed system supports the application of ICF in diverse health informatics contexts.