Modern healthcare systems operate in an environment of increased uncertainty and are subject to various crises, from epidemics and natural disasters to financial disruptions and reputational crises. This paper explores the methodological framework for managing healthcare crises, focusing on an integrated approach to analyzing the consequences, managing risks, and planning for recovery. The analysis considers both direct economic losses and patient flow disruptions, as well as reputational risks and the impact of regulatory changes. The toolbox uses epidemic spread models (such as SIR and its modifications) combined with a systematic approach to strategic planning, which includes three interconnected stages: pre-crisis planning, crisis response, and post-crisis recovery. The empirical part is based on a step-by-step algorithm for developing a recovery plan for a medical organization, which includes data collection, risk identification, goal formulation, resource allocation, regulatory environment management, and monitoring and evaluation of effectiveness. The findings emphasize that successful recovery from a crisis is achieved through the integration of theoretical models, practical management techniques, and adaptive leadership, which ensures transparent communication and resilience to repeated shocks.

crisis management in healthcare, epidemiological modeling, recovery planning for medical organizations, risk management, healthcare resilience.