Application of Binomial Theory in Determining the Relationship Between Importance and Impact of Risks in Hospital Projects

Abstract

This research deals with the topic of risk management through the application of binomial theory and risk matrix to analyze the relationship between the importance of risks and their impact on hospital construction projects, with the aim of developing an effective mechanism to prioritize dealing with risks and ensuring the success of the project. To achieve this goal, a questionnaire based on the five-point Likert scale was prepared, and the stability coefficient (Cronbach's alpha) was 0.891, confirming the reliability of the tool. The questionnaire was distributed to engineers and specialists in the implementation of hospital projects, and the data were analyzed using accurate statistical tools. The results showed that cybersecurity risks came in first place with a score of 18.11, followed by financing risks, power outages, and unexpected costs. The data also showed that most of the risks fall into the high-risk category, which requires continuous monitoring and immediate interventions. The study concluded that the Risk Matrix is a practical and flexible tool for managing complex risks in health projects. The study recommends that information security should be given top priority from the early stages of the project, to protect digital infrastructure and ensure business continuity.