Advanced Interoperability Techniques: Structure Mapping Service in CrowdHEALTH Project.

Area of Science:

• Health Informatics
• Information Systems Engineering
• Knowledge Representation

Background:

• Healthcare information systems face interoperability challenges, leading to missed health-related events.
• Existing solutions often lack a holistic approach to address these interoperability issues.
• The CrowdHEALTH project aims to develop an advanced interoperability solution.

Purpose of the Study:

• To present the Structure Mapping Service developed within the CrowdHEALTH project.
• To detail the initial design of an interoperability solution focused on data structure mapping.

Main Methods:

• Developed subcomponents including a rule engine for business logic and a Terminology Service for medical coding.
• The Structure Mapping Service utilizes ontology alignment for managing knowledge and links between information structures.
• Employs a two-phase approach: training (ontology creation, alignment, data map generation) and run-time (querying for mappings).

Main Results:

• Automated ontology alignment process within the Structure Mapping component.
• Generated data maps between source datasets and target classes (HHR Manager) during the training phase.
• Enables retrieval of appropriate mappings and transformations from a knowledge base during the run-time phase.

Conclusions:

• The initial design of the Structure Mapping Service offers an advanced interoperability technique.
• The service is designed for easy deployment and seamless integration into healthcare settings.
• Further assessment and enrichment of the design are planned throughout the project lifecycle.