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Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

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Published on: April 12, 2021

Sharing information and data across heterogeneous e-health systems.

Sukanta Ganguly¹, Pavandeep Kataria, Radmila Juric

¹Department of Mechanical Engineering, Texas Tech University, Lubbock, TX 79409, USA. sganguly@yahoo.com

Telemedicine Journal and E-Health : the Official Journal of the American Telemedicine Association

|June 25, 2009

Summary

This study presents two novel approaches, Context-Aware Data Retrieval Architecture (CADRA) and Generic Ontology for Context Aware, Interoperable, and Data Sharing (Go-CID), to improve data sharing in telemedicine. These methods enhance interoperability and knowledge building across diverse e-health systems.

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Area of Science:

* Digital Health
* Health Informatics
* Telemedicine

Background:

* Sustainable telemedicine relies on seamless information and data sharing across heterogeneous e-health systems.
* Healthcare practitioners require access to diverse data, including patient records, research findings, and social network information.
* Interoperability challenges hinder effective data exchange in current e-health environments.

Purpose of the Study:

* To demonstrate two distinct approaches for enabling information and data sharing across heterogeneous e-health systems.
* To validate the effectiveness of Context-Aware Data Retrieval Architecture (CADRA) and Generic Ontology for Context Aware, Interoperable, and Data Sharing (Go-CID) software applications.
* To promote understanding and knowledge construction within e-health environments through improved data accessibility.

Main Methods:

* Development and proof-of-concept demonstration of the Context-Aware Data Retrieval Architecture (CADRA).
* Implementation and validation of Generic Ontology for Context Aware, Interoperable, and Data Sharing (Go-CID) software applications.
* Focus on securing data extraction, presentation, and semantic interoperation across diverse e-health data sources.

Main Results:

* Successful proof-of-concept for both CADRA and Go-CID demonstrated their viability.
* CADRA effectively secures the extraction and presentation of e-health information in requested formats.
* Go-CID ensures semantic interoperation across heterogeneous e-health data sources, facilitating data sharing.

Conclusions:

* CADRA and Go-CID offer practical solutions for achieving interoperability in e-health systems.
* These approaches enhance the ability to understand and build knowledge within complex e-health environments.
* The study encourages the adoption of practical solutions for more integrated and effective telemedicine services.