| Summary: | 碩士 === 國立臺北科技大學 === 環境工程與管理研究所 === 101 === We analyze the scale of the SH hospital including number of Beds, doctors, nurses etc. and the volume of services such as outpatient visits, inpatients, emergency numbers by statistical methods. We also analyze how the factors above influence the total amount of medical waste, general waste and the infectious waste in SH hospital, in order to establish the prediction model of the production of wastes. According to the study result, the number of beds, doctors, nurses grows up dramatically every year. So does the volume of medical services. However the total amount of medical waste, general waste and the infectious waste also increase 20%-30% per year. We found there is a relation between output factors and the amount of waste, and proved the output factors model was suitable to medical service industry. Besides, we use the multivariate stepwise regression model to setup the main factors of prediction model of the total amount of medical waste, general waste and the infectious waste. The results are as follows:
1.The total amount of medical waste: the result shows the main effect of medical waste are occupancy rate, the number of nurses and inpatients and the explanatory power can reach 96.4%. Prediction function:
y（total amount of medical waste）=-13610.80-457.55x1（occupancy rate）+ 82.34x2（nurses）+0.69x3（inpatients）
2.General industrial waste: the result shows the main effect of general industrial waste is the number of inpatients and the explanatory power can reach 94.2%. Prediction function:
y（the total amount of general industrial waste）=-4760.86 + 4.18x1（inpatients）
3.Infectious waste: the result shows the main effect of the total amount of infectious waste are the number of inpatients, the occupancy rate, the number of nurses and surgery and the explanatory power can reach 97%. Prediction function:
y（the total amount of infectious waste）=-257.71 - 156.35x1（occupancy rate）+ 0.69x2（inpatients）+ 19.67x3（nurses）+2.64（Number surgery）
Study suggests: as a results of the volume of services, scales and the total amount of medical waste are higher than other hospitals within the same level. The results found that regardless of the total medical waste, general industrial waste, and infectious waste are related to hospital activities. Therefore, the SH hospital should do some improvements, including implementation nursing personnel classification training, monitoring waste outputs of ward, implementation audit system and competition, counseling the food court waste. Finally we must follow the policy of the Environment Protection Department (EPD) to reduce the amount of waste in hospital .
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