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Nature-inspired non-toxic antifouling agents as a sustainable strategy to overcome environmental problems associated with biocides
O papel dos canais digitais na implementação de programas de promoção à exportação: O caso das missões inversas
The neurotoxic mechanisms of new and old anticancer drugs on astrocytes: an in vitro study in C6 cells
Design of multifunctional 3-hydroxy-4-pyridinone metal ion chelators for biomedical, environmental and agriculture applications
Módulo de versionamento de código em motores de integração de dados na saúde
In a scenario where there is rapid evolution in health data integration, ensuring the integrity, security, and traceability of the code is crucial. This paper addresses the development of a "Code Version Control Module" specifically designed for health data integration engines, with a particular focus on systems such as NextGen Connect, also known as Mirth Connect. The goal of the module is to meet the critical need for robust version control in health environments, ensuring seamless collaboration, regulatory compliance, and the ability to adapt to the dynamic requirements of health data.
This comprehensive exploration begins with an overview of the essential role that health data integration engines play and the challenges they face in managing code changes. Drawing from the state of the art in version control systems, we explore the advantages of Git as the foundation for our module.
The main objective of this thesis is the development of the Code Version Control Module. Step by step, we guide readers through the process of implementing Git-based version control. Real-world case studies highlight the benefits of adopting this module, illustrating how it simplifies code management and enhances collaboration among health integration teams.
In conclusion, the importance of this code version control module in health data integration becomes evident. It not only strengthens the foundations of data integrity, but also paves the way for innovation and adaptability in the ever-evolving health ecosystem. Looking ahead, we explore potential avenues for improvements and future developments in version control within health integration engines