Enhancing Health Information systems Integration and Interoperability through Smart Healthcare Data Hubs

When there is a scenario in which an organization operation is interacting with different cloud providers for organizational needs, it must have to address challenges like interoperability issues, and lack of resilience. The proposed architecture design for ensuring interoperability at Smart Healthcare Data Hubs (SHDH) addresses critical challenges such as integrating diverse data sources, maintaining data quality, and ensuring system resilience. By adopting a service-oriented architecture (SOA) approach, the design utilizes industry-standard protocols and data formats to facilitate seamless communication and data exchange among various healthcare systems. To further enhance interoperability, the architecture incorporates a semantic layer based on ontologies and controlled vocabularies, enabling effective integration of data from systems that utilize different data models. This system is a reliable and interoperable platform that will empower healthcare organizations to share data efficiently, ultimately improving patient outcomes and enhancing healthcare delivery. The evaluation denotes the architecture's effectiveness including accuracy and performance, which will be compared against existing approaches in the aspect of interoperability.

Authors

Publication Details

Journal
Journal of Information Systems Engineering & Management
Published
2025-04-02
DOI
https://doi.org/10.52783/jisem.v10i31s.5108
Primary Topic
Artificial Intelligence in Healthcare
Type
article
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article

Enhancing Health Information systems Integration and Interoperability through Smart Healthcare Data Hubs

Babita Rani
Journal of Information Systems Engineering & Management
Artificial Intelligence in Healthcare
article

Enhancing Health Information systems Integration and Interoperability through Smart Healthcare Data Hubs

Babita Rani
article en

Abstract

When there is a scenario in which an organization operation is interacting with different cloud providers for organizational needs, it must have to address challenges like interoperability issues, and lack of resilience. The proposed architecture design for ensuring interoperability at Smart Healthcare Data Hubs (SHDH) addresses critical challenges such as integrating diverse data sources, maintaining data quality, and ensuring system resilience. By adopting a service-oriented architecture (SOA) approach, the design utilizes industry-standard protocols and data formats to facilitate seamless communication and data exchange among various healthcare systems. To further enhance interoperability, the architecture incorporates a semantic layer based on ontologies and controlled vocabularies, enabling effective integration of data from systems that utilize different data models. This system is a reliable and interoperable platform that will empower healthcare organizations to share data efficiently, ultimately improving patient outcomes and enhancing healthcare delivery. The evaluation denotes the architecture's effectiveness including accuracy and performance, which will be compared against existing approaches in the aspect of interoperability.

Journal of Information Systems Engineering & ManagementVol. 10(31s)
Openalex Percentile: Top 92%
Artificial Intelligence in Healthcare
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Enhancing Health Information systems Integration and Interoperability through Smart Healthcare Data Hubs — Babita Rani · Journal of Information Systems Engineering & Management (2025) | TGRS Research Map | TGRS