RASCH Mode for Failure Mode and Effects Analysis -A Case Study of Acute Myocardial Infarction

碩士 === 元培科技大學 === 企業管理研究所 === 98 === The quality of health care is getting more importance in these days, and most of medical organization has established specific department or driven related policies on it, and the most important issue which related was safety of patients. In hospital, a high degr...

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Bibliographic Details
Main Authors: Huang Li-ping, 黃立萍
Other Authors: Chin-Tsai Lin
Format: Others
Language:zh-TW
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/xcjcqf
Description
Summary:碩士 === 元培科技大學 === 企業管理研究所 === 98 === The quality of health care is getting more importance in these days, and most of medical organization has established specific department or driven related policies on it, and the most important issue which related was safety of patients. In hospital, a high degree of complexity for acute myocardial infarction treatment and very high mortality risk. According to the American Heart Association statistics, there are approximately more than half of the annual deaths of cardiovascular diseases. Among them the acute myocardial infarction has the highest mortality rate, about every 20 seconds someone suffers acute myocardial infarction. In 2005 according to the American Heart Association for acute myocardial infarction treatment guidelines recommends, hospitals should strive for D2B times of less than 90 minutes for acute myocardial infarction patients would Reduce Patient Mortality. Therefore, treatment of acute myocardial infarction process planning is very important. This study used Failure Mode and Effects Analysis in the medical industry as an example, but traditional FMEA usually used to describe the subjective of expert’s assessment on the rules and therefore is often difficult to assess and quantify. In this study presents an improved FMEA combined with RASCH mode that overcomes traditional FMEA shortcomings. RASCH mode is a valid measure of methodological quality. Using RASCH mode convert raw scores to log odds units let score become equidistant and better analyze conclusions.