ANALYSIS AND FORECASTING OF INFORMATION SECURITY THREATS IN MEDICAL SYSTEMS

Abstract

This article comprehensively examines the issues of analyzing and predicting dangerous situations in medical systems. Currently, the rapid development of digitalization and information technologies in healthcare organizations poses new challenges to security. The close interrelationship of cyber threats, human factors, organizational management, and regulatory aspects requires a comprehensive assessment and prediction of risks in medical systems. The authors considered the classification of threats, their causes and consequences, as well as methods for managing threats. Based on international and domestic research, the possibilities of predicting threats using machine learning and big data were analyzed. The current situation in the healthcare sector in Kazakhstan was compared with international experience, and effective ways to manage threats at the national level were proposed. The need for transcultural adaptation of tools for assessing safety culture was also noted. As a result, integrated approaches to risk management in medical systems have a positive impact on patient safety and organizational stability. The conclusion provides specific recommendations for reducing risks and increasing patient safety in healthcare.