Data-Driven Decision-Making in Health Security Management: Challenges and Opportunities

Abstract

The incorporation of data-driven decision-making into health security management has altered the method of recognizing, avoiding, and responding to health risks. This study investigates the influence of data-driven tactics on the efficacy of health-care security measures, demonstrating substantial advantages such as faster detection and reaction times. However, it also notes significant hurdles, such as assuring data is accurate and reliable, safeguarding patient privacy, and establishing appropriate technology and training. Ethical factors, such as data security and the possibility of misuse, are crucial to sustaining public confidence. The study indicates that, while data-driven decision-making has many benefits, addressing these difficulties through strong data governance frameworks and constant review is critical for optimizing health security management. Recommendations include improving data security standards and establishing a technology to enable successful data utilization.