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An Approach for Refactoring System Healthcare Using CQRS, GoF, and Natural Language Processing

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International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD’2023) (AI2SD 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 904))

Abstract

We presents a comprehensive approach for refactoring healthcare systems using natural language processing (NLP), Command Query Responsibility Segregation (CQRS), and Gang of four (GoF) design patterns. The proposed method aims to improve performance, scalability, and maintainability without altering the system’s external behavior. It encompasses three main phases: analysis, design, and implementation. The analysis phase identifies pain points and utilizes NLP to extract valuable information from the existing system. In the design phase, CQRS and GoF patterns are employed to model the new healthcare system. Finally, the implementation phase involves refactoring the legacy codebase. The approach is validated through a case study, demonstrating enhanced scalability, performance, and maintainability, with potential applications across various domains.

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Author information

Authors and Affiliations

  1. IPSS Research Team, Faculty of Sciences, Mohammed V University, Rabat, Morocco

    Mohamed El Boukhari, Nassim Kharmoum, Fadwa Saoiabi & Soumia Ziti

  2. 2IACS Laboratory ENSET, University Hassan II of Casablanca, Mohammedia, Morocco

    Sara Retal

  3. CNRST, National Center for Scientific and Technical Research (CNRST), Rabat, Morocco

    Nassim Kharmoum

  4. E2SN Research team, ENSAM Rabat, Mohammed V University, Rabat, Morocco

    Wajih Rhalem

  5. Moroccan Society of Digital Health, Rabat, Morocco

    Mohamed El Boukhari, Nassim Kharmoum & Wajih Rhalem

  6. SmartiLab, Moroccan School of Engineering Sciences (EMSI), Rabat, Morocco

    Sara Retal

Authors
  1. Mohamed El Boukhari
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  2. Sara Retal
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  3. Nassim Kharmoum
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  4. Fadwa Saoiabi
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  5. Soumia Ziti
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  6. Wajih Rhalem
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Corresponding author

Correspondence to Mohamed El Boukhari .

Editor information

Editors and Affiliations

  1. Computer Sciences Department, Faculty of Sciences and Techniques of Tangier, Abdelmalek Essaâdi University, Tangier, Morocco

    Mostafa Ezziyyani

  2. Systems Research Institute, Polish Academy of Science, Warsaw, Poland

    Janusz Kacprzyk

  3. Department of Automatics and Applied Software at the Faculty of Engineering, University “Aurel Vlaicu” Arad and Romanian Academy of Scientists, Arad, Romania

    Valentina Emilia Balas

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El Boukhari, M., Retal, S., Kharmoum, N., Saoiabi, F., Ziti, S., Rhalem, W. (2024). An Approach for Refactoring System Healthcare Using CQRS, GoF, and Natural Language Processing. In: Ezziyyani, M., Kacprzyk, J., Balas, V.E. (eds) International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD’2023). AI2SD 2023. Lecture Notes in Networks and Systems, vol 904. Springer, Cham. https://doi.org/10.1007/978-3-031-52388-5_5

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