Research on Collaborative Development Mode of C# And Python in Medical Device Software Development

Authors

  • Minkang Zhang Bio-Rad Laboratories, Clinical Diagnostics Group (CDG) Software Team, CA, 94547, USA Author

DOI:

https://doi.org/10.71222/w95yhq21

Keywords:

C#, Python, medical device software, joint development framework, data analysis, GUI design

Abstract

C# and Python are two widely used programming languages, each with unique advantages, and they play a crucial role in the development of medical device software. C# is particularly effective in designing and implementing graphical user interfaces (GUIs) and managing core business logic, providing a stable and high-performance environment for software front-end and system integration. Python, on the other hand, excels in data analysis, scientific computing, algorithm development, and machine learning, offering flexibility and rapid prototyping capabilities that are essential for advanced data-driven functionalities in medical devices. This paper presents a comprehensive study on the joint development model of C# and Python, focusing on the design of an effective cooperative framework that leverages the strengths of both languages in the field of medical device software development. The proposed framework provides a structured approach for integrating front-end GUI design, core process management, and advanced computational modules, and details the interaction and cooperation between C# and Python during the development lifecycle with specific task-oriented guidance. To validate the proposed approach, integration testing and performance evaluation were conducted to ensure the reliability, efficiency, and robustness of the system. The results demonstrate that the combined use of C# and Python not only improves software performance and maintainability but also enhances the flexibility and scalability of medical device applications. Finally, the practical implementation of this joint development model in real-world projects confirms its effectiveness, providing a valuable reference for future development of high-quality, data-driven, and user-friendly medical device software.

References

1. F. Su, J. Wang, R. Lei, and D. Ren, "RETRACTED ARTICLE: Optical medical equipment diagnosis and clinical efficacy of medication in the treatment of autoimmune thyroiditis," Optical and Quantum Electronics, vol. 56, no. 3, p. 297, 2024. doi: 10.1007/s11082-023-05998-w

2. A. Hotz, E. Sprecher, L. Bastianelli, J. Rodean, I. Stringfellow, E. Barkoudah, and J. G. Berry, "Categorization of a universal coding system to distinguish use of durable medical equipment and supplies in pediatric patients," JAMA Network Open, vol. 6, no. 10, pp. e2339449-e2339449, 2023.

3. N. Assavakamhaenghan, W. Tanaphantaruk, P. Suwanworaboon, M. Choetkiertikul, and S. Tuarob, "Quantifying effectiveness of team recommendation for collaborative software development," Automated Software Engineering, vol. 29, no. 2, p. 51, 2022. doi: 10.1007/s10515-022-00357-7

4. D. Grana, and L. De Figueiredo, "SeReMpy: Seismic reservoir modeling Python library," Geophysics, vol. 86, no. 6, pp. F61-F69, 2021.

5. S. Roengtam, and A. Agustiyara, "Collaborative governance for forest land use policy implementation and development," Cogent social sciences, vol. 8, no. 1, p. 2073670, 2022. doi: 10.1080/23311886.2022.2073670

Downloads

Published

09 December 2025

Issue

Section

Article

How to Cite

Zhang, M. (2025). Research on Collaborative Development Mode of C# And Python in Medical Device Software Development. Journal of Computer, Signal, and System Research, 2(7), 25-32. https://doi.org/10.71222/w95yhq21