诸暨市医疗废物在线监测预警数据

诸暨市利用医疗废物在线监测预警系统实现了全闭环处置流程与全过程监管流程，确保的医疗废物可视化、透明化、数字化和可追溯监管，为医院和卫监提供了数据分析和决策支持，从而更好了解医疗废物产生情况和趋势，从而制定更有效的废物管理策略。1.通过多家医院在回收、存储和运输等包含废物的种类、数量和产生时间、处理状态等的信息，并将其统一归纳入医疗废物在线监测系统中。系统将收集的信息进行清洗、整合和标准化处理。
2. 利用机器学习和统计学的预测算法，根据历史数据和当前数据，对各个类型的医疗废物的重量、状态和时间进行综合分析。
3. 今日零时至前7日的日平均数比上月日平均值（即30天平均数）低60%，同时比上90天日平均数重量低40%，产生医院日产生医疗废物异常少，存在医疗废物院内丢失风险。
4. 医疗废物处置单位超过48小时未清运医疗废物，存在医疗废物丢失和院内感染风险。

Zhuji City has implemented a fully closed-loop disposal process and whole-process supervision workflow using the online medical waste monitoring and early warning system, realizing visualized, transparent, digitized and traceable supervision of medical waste. It provides data analysis and decision-making support for hospitals and health supervision authorities, enabling them to better understand the generation status and trends of medical waste and formulate more effective waste management strategies.
1. Multiple hospitals collect information including waste type, quantity, generation time, disposal status and other details during recycling, storage and transportation stages, and uniformly integrate these data into the online medical waste monitoring system. The collected information is then cleaned, integrated and standardized by the system.
2. Machine learning and statistical prediction algorithms are adopted to comprehensively analyze the weight, status and generation time of each type of medical waste based on historical and real-time data.
3. The daily average medical waste generation from 0:00 today to the preceding 7 days is 60% lower than the monthly average (i.e., the 30-day average) of last month, and 40% lower than the 90-day average weight. The hospital has an unusually low daily medical waste output, posing a risk of in-hospital loss of medical waste.
4. If the medical waste disposal unit fails to collect and transport medical waste for more than 48 hours, there will be risks of medical waste loss and nosocomial infection.