Application of data mining in engineering project management of the health sector

Sichen Liu
LimKokWing University, Cyberjaya 63000, Selangor, Malaysia

DOI:https://doi.org/10.5912/jcb1414

Abstract:

Engineering project management is an essential component of the healthcare sector, as it involves the planning, execution, and monitoring of projects related to medical technology, infrastructure, and other areas of healthcare. The application of data mining techniques in engineering project management has the potential to improve project planning and execution, enhance decision-making, and optimize resource allocation. Data mining involves the extraction of patterns and insights from large data sets, which can be used to identify trends, relationships, and patterns that may not be immediately apparent through manual analysis. In the healthcare sector, data mining can be applied to various areas of engineering project management, including project planning, risk assessment, resource allocation, and progress monitoring.By applying data mining techniques to engineering project management in the healthcare sector, project managers can gain a more comprehensive understanding of project risks, resource needs, and progress. This can enable them to make more informed decisions and allocate resources more efficiently. In addition, data mining can be used to identify areas of inefficiency or bottlenecks in the project management process, enabling managers to optimize processes and improve project outcomes