An Application of The Healthcare Failure Mode and Effect Analysis with Monte Carlo Simulation to The Sterilization Process of Medical Equipment
碩士 === 東海大學 === 工業工程與經營資訊學系 === 103 === In recent years, patient healthcare is a important topic in medical field. How to decrease the risk of missing in the operation and healthcare is a key investigation in these years. Healthcare Failure Mode and Effect Analysis(HFMEA) is a kind of special manage...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2015
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| Online Access: | http://ndltd.ncl.edu.tw/handle/90162124002660042258 |
| Summary: | 碩士 === 東海大學 === 工業工程與經營資訊學系 === 103 === In recent years, patient healthcare is a important topic in medical field. How to decrease the risk of missing in the operation and healthcare is a key investigation in these years. Healthcare Failure Mode and Effect Analysis(HFMEA) is a kind of special management method in process of healthcare and medical. The HFMEA has preventive property with decrease the risk of medical and healthcare failure terms efficiently. This research uses Monte Carlo Simulation to extend the sample quantity then make the HFMEA's risk matrix more accurate than the original sample type . The risk matrix will provide the information of risk of failure mode in disinfection process. This information will help the case hospital which has a better data to access and improve the process.
Using the HFMEA and Monte Carlo Simulation methods to access the case hospital's staff disinfection cognitive. Through the following steps disinfection process, expert access, disinfection cognitive and hazard analysis to find out the original cause and give the proposal. According to the analysis results that the cognitive have 3 points contain failure mode. They are . The points should be improved and re-examine.
Promote the patient safety is a mission that have to be strived by all of the staff.
HFMEA is a management method to prevent risk and the method coordinate with Monte Carlo Method can make the sample with more reliability to make the data convinces the decision maker which terms should be improved. When the points is improved that the healthcare quality can be enhanced and patient infects probability will be reduced.
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