To mitigate errors, safeguard patient safety, and ensure both regulatory compliance and financial stability, effective risk management is indispensable in healthcare systems. This paper provides a comprehensive analysis of several key risk management models tailored to address the unique challenges inherent in the healthcare sector. Initially, the paper explores the Enterprise Risk Management (ERM) framework, which adopts a holistic approach to risk management by encompassing clinical, operational, and financial risk domains. ERM facilitates a structured process for identifying, assessing, and mitigating risks across the entire organization, thereby enabling a proactive stance toward risk management. Following this, the discussion shifts to specific risk management tools. Proactive tools, such as Failure Mode and Effects Analysis (FMEA), are examined for their role in anticipating potential failures and implementing preventive measures. FMEA systematically identifies possible failure modes, evaluates their effects on system performance, and prioritizes mitigation strategies. Conversely, reactive techniques like Root Cause Analysis (RCA) are scrutinized for their efficacy in investigating and resolving incidents post-occurrence. RCA focuses on identifying the underlying causes of failures to prevent recurrence and improve system reliability. The paper also delves into visual risk assessment models, such as the Swiss Cheese Model and Bow-Tie Risk Assessment. The Swiss Cheese Model illustrates how multiple layers of defense can prevent accidents by highlighting potential weaknesses in each layer that could lead to failure. The Bow-Tie Model, on the other hand, provides a visual representation of risk pathways, combining both preventative and mitigative controls to address risks effectively.