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Interoperable E-Health System Using Structural and Semantic Interoperability Approaches in CAREPATH.

Omid Pournik¹, Bilal Ahmad¹, Sarah N Lim Choi Keung¹

¹Department of Electronic, Electrical and Systems Engineering, School of Engineering, University of Birmingham, Birmingham, UK.

Studies in Health Technology and Informatics

|June 30, 2023

Summary

This summary is machine-generated.

This study introduces CAREPATH, an ICT solution enhancing healthcare interoperability for elderly patients. It improves data exchange and understanding across systems, benefiting electronic health records (EHRs).

Keywords:

HL7 FHIR Semantic interoperability Technical interoperability

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Development and Implementation of a Multi-Disciplinary Technology Enhanced Care Pathway for Youth and Adults with Concussion

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Published on: January 20, 2019

Area of Science:

Health Informatics
Computer Science
Gerontology

Background:

Healthcare systems face challenges with data exchange due to heterogeneity.
Semantic interoperability is crucial for understanding exchanged clinical data.
Elderly multimorbid patients with cognitive impairment require integrated care management.

Purpose of the Study:

To propose a novel ICT solution, CAREPATH, for managing elderly multimorbid patients.
To enhance technical and semantic interoperability in healthcare settings.
To facilitate seamless data exchange and interpretation across diverse healthcare systems.

Main Methods:

Implementing Semantic and Structural Mapping techniques.
Developing a standard-based data exchange protocol for technical interoperability.
Creating programmable interfaces for semantic mediation and data mapping.

Main Results:

CAREPATH enables reliable data exchange between local care systems and project components.
Semantic mediation addresses diverse clinical data formats and terminologies.
The solution enhances flexibility and resource efficiency across Electronic Health Records (EHRs).

Conclusions:

The CAREPATH solution effectively addresses technical and semantic interoperability challenges.
This approach supports improved care management for elderly patients with cognitive impairments.
The proposed methods offer a flexible, efficient, and reliable interoperability solution for EHRs.