A modular cloud-based ontology framework for context-aware EHR services

ALSOBEH, Anas MR, HAMMAD, Rafat and TAMIMI, Abdel Karim Al (2019). A modular cloud-based ontology framework for context-aware EHR services. International Journal of Computer Applications in Technology, 60 (4), 339-350.

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Official URL: https://www.inderscience.com/info/inarticle.php?ar...
Link to published version:: https://doi.org/10.1504/ijcat.2019.101181
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Abstract

Healthcare providers in a heterogeneous distributed environment depend on many nonfunctional requirements or cross-cutting concerns that could affect the entire Healthcare Information System (HIS). The implementation of crosscutting concerns could potentially lead to a significant impact on the integrity of Electronic Health Records (EHRs), as well as code quality. Aspect-Oriented Programming (AOP) encapsulates the crosscutting concerns to improve the overall quality of software development by reducing the required code to implement collection modules. In this paper, we propose an AOP-based novel approach to improve the elasticity of cloud-based EHR services. We propose an abstract framework for cloud-based HIS, which provides EHR interoperability through incorporating crosscutting concerns. The proposed framework eliminates the need to change the core code by adding high-level abstractions to complex cloud applications. We implement a prototype of the proposed framework to validate its ability in both separation of concerns and the ability to reuse EHR services.

Item Type: Article
Uncontrolled Keywords: aspect oriented software development; aspect oriented programming; modularisation; crosscutting concern; cloud computing; ontology; electronic health record; weaving; Operations Research; 0899 Other Information and Computing Sciences; 1099 Other Technology
Identification Number: https://doi.org/10.1504/ijcat.2019.101181
Page Range: 339-350
SWORD Depositor: Symplectic Elements
Depositing User: Symplectic Elements
Date Deposited: 22 Nov 2022 16:06
Last Modified: 12 Oct 2023 09:01
URI: https://shura.shu.ac.uk/id/eprint/31049

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