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Aequus communis sententia: defining levels of interoperability
Peter L Elkin1, David Froehling, Brent A Bauer
1Mayo Clinic College of Medicine, USA.
Studies in Health Technology and Informatics
|October 4, 2007
Summary
This study introduces an Ontology of Interoperability to measure data meaning between computer systems. The developed scale demonstrates high reliability for assessing syntactic, semantic, and pragmatic interoperability levels.
Area of Science:
- Computer Science
- Information Science
- Health Informatics
Background:
- Interoperability, the shared understanding of data between systems, is crucial but complex.
- Specifying data for common meaning involves technical, organizational, and human factors.
- Existing methods for assessing interoperability levels can be challenging.
Purpose of the Study:
- To define and introduce an Ontology of Interoperability.
- To develop a rating scale for assessing interoperability levels (Syntactic, Semantic, Pragmatic).
- To evaluate the reliability and usability of this new scale.
Main Methods:
- Developed an Ontology of Interoperability with a rating scale.
- Tested the scale with five medical informaticians rating ANSI standard specifications.
- Analyzed inter-rater variability to refine the scale.
Main Results:
- The Ontology of Interoperability scale demonstrated high inter-rater reliability.
- Identified specific elements of the scale that posed challenges for reviewers.
- A refined version of the interoperability scale was proposed based on findings.
Conclusions:
- The proposed ontology provides a reliable and simple mechanism for comparing interoperability levels.
- The scale aids in evaluating different specifications or versions of the same specification.
- This tool can enhance the assessment of data exchange capabilities in various systems.
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