Key Factors Affecting the Cost of Medical Software Development: Cost and Modeling

In the current context of the booming development of medical informatization, the number of medical software projects is increasing day by day, and the estimation of their development costs has become a core challenge in project management. The cost of medical software development is affected by the interaction of numerous complex factors such as personnel, equipment, time, quality, and regulatory compliance. This paper comprehensively reviews these key factors, delves into existing cost estimation models, compares the advantages and disadvantages of different methods, and highlights recent advancements in improving estimation accuracy using technologies such as machine learning and optimization algorithms. This research results indicate that hybrid approaches, which integrate multiple advanced technologies, have strong potential to significantly enhance the accuracy and efficiency of medical software cost estimation.

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Publication Details

Published
2025-04-18
DOI
https://doi.org/10.1109/icccs65393.2025.11069650
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.65
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Key Factors Affecting the Cost of Medical Software Development: Cost and Modeling

Zulkefli Mansor, LI Liang-yu, M Li, Xianpeng Wang et al.
1 citations
Artificial Intelligence in Healthcare and Education
0.65
article

Key Factors Affecting the Cost of Medical Software Development: Cost and Modeling

Zulkefli Mansor, LI Liang-yu, M Li, Xianpeng Wang, Xiaoyan Zhao
article en
1 citations

Abstract

In the current context of the booming development of medical informatization, the number of medical software projects is increasing day by day, and the estimation of their development costs has become a core challenge in project management. The cost of medical software development is affected by the interaction of numerous complex factors such as personnel, equipment, time, quality, and regulatory compliance. This paper comprehensively reviews these key factors, delves into existing cost estimation models, compares the advantages and disadvantages of different methods, and highlights recent advancements in improving estimation accuracy using technologies such as machine learning and optimization algorithms. This research results indicate that hybrid approaches, which integrate multiple advanced technologies, have strong potential to significantly enhance the accuracy and efficiency of medical software cost estimation.

National University of Malaysia (MY)
Industry, innovation and infrastructure
Openalex Percentile: Top 23%
Artificial Intelligence in Healthcare and Education
0.65
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