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CODE: NHA09
DURATION: 3 Days | 5 Days | 10 Days
CERTIFICATIONS: CPD
This course examines the role played by artificial intelligence in transforming the identification, analysis and management of risks within healthcare systems. It offers a deep understanding of integrating AI technologies into existing preparedness frameworks to improve decision making, patient safety and operational continuity during crises. Through a blend of theoretical insights, case studies and interactive exercises, participants will examine how AI-driven tools can improve early detection of emerging threats, streamline crisis response planning and enhance overall healthcare resilience.
This course is available in the following formats:
Virtual
Classroom
Request this course in a different delivery format.
Course Outcomes
Delegates will gain the knowledge and skills to:
Understand the role and potential of AI in healthcare risk assessment and crisis preparedness.
Apply AI-driven analytics to identify vulnerabilities and predict potential healthcare disruptions.
Design and implement AI-supported crisis management strategies.
Integrate data-driven insights into decision-making for improved healthcare resilience.
Evaluate ethical, regulatory, and operational implications of AI use in healthcare emergencies.
Develop frameworks for continuous monitoring and adaptive response to emerging health risks.
At the end of this course, you’ll understand:
This course is designed for healthcare administrators, risk and safety managers, hospital emergency response coordinators, health policy professionals, data scientists working in healthcare and public health officials responsible for crisis management and preparedness planning. It is also beneficial for clinicians and medical leaders seeking to understand how AI can support proactive risk assessment and improve emergency readiness.
✓ Modern facilities
✓ Course materials and certificate
✓ Accredited international trainers
✓ Training materials and workbook
✓ Access to online resources
