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Lecturer(s)
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Kamenický Jan, Ing. Ph.D.
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Course content
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Lectures: 1. Dependability management and its integration into the quality management system 2. General introduction to reliability - reliability terminology, mathematical tools in reliability 3. Reliability prediction - data for reliability prediction, predictive reliability analyses 4. Diagnosticability and latent failures 5. Introduction to risk management - general principles of risk management and their industry-specific applications, basic risk management terminology 6. Risk management as a fundamental tool for risk regulation - risk control, risk acceptability, the role of the state in risk regulation, and applicable legislation regarding risk management in healthcare 7. Reliability analyses I - Reliability Block Diagram (RBD) and Hazard and Operability Study (HAZOP) 8. Reliability analyses II - Failure Mode, Effects, and Criticality Analysis (FMECA) 9. Reliability analyses III - Fault Tree Analysis (FTA) and Event Tree Analysis (ETA) 10. Reliability analyses IV - Human Reliability Analysis (HRA), Markov analysis (MA) 11. Maintenance and maintainability - types of maintenance, maintenance systems, optimization of maintenance 12. Dependability and costs - life-cycle costs (LCC), impact of reliability parameters on LCC, specification of dependability requirements 13. Functional safety - terminology and procedures, determination of requirements and demonstration of functional safety 14. Robustness - basic concepts, robustness parameters, robust design (not limited to technical systems) Exercises: None
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Learning activities and teaching methods
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Monological explanation (lecture, presentation,briefing)
- Class attendance
- 28 hours per semester
- Home preparation for classes
- 14 hours per semester
- Semestral paper
- 20 hours per semester
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Learning outcomes
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The aim of the course is to acquaint the student with the methods of effective risk management and the complete process from data collection, processing, analysis tools, and drawing conclusions. Content focus of the course is defined risk management systems in industrial and medical applications with an emphasis on clinical and economic effectiveness of decision-making processes. The resulting knowledge and skills are based on current trends, the introduction of innovative approaches evaluation processes in biomedicine, including its technical equipment. Students are able to define effective ways of managing risk. Students are able to define the role of the state in regulating the risks and the applicable legislation in the field of risk management in healthcare. Students can use the tools of risk management in healthcare.
Students will acquire theoretical knowledge and practical skills of effective risk management in the complete process from data collection, data processing, analytical tools to drawing the final conclusions. They will be familiar with the risk management systems related to technical scope within the medical applications with an emphasis on clinical and economic effectiveness of decision-making processes.
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Prerequisites
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Mathematics knowledge at level of high school.
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Assessment methods and criteria
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Written assignment
Requirements for getting a credit are activity at the lectures and submitting of the seminar work on an appropriate level of proficiency.
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Recommended literature
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E-learning.
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Bednařík Josef a kol. Technika spolehlivosti v elektronické praxi.. Praha, 1990. ISBN 80-03-00422-5.
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Taguchi, G. Taguchi on Robust Technology Development. New York, 1993. ISBN 0-7918-0028-8-5.
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