医院急诊室医疗设备故障分析数据

在医院急诊室医疗设备故障分析场景中,通过对医院的急诊室医疗设备故障与时间维度的挖掘,生成的数据可作为模型辅助医院监管人员对医院急诊室医疗设备故障的异常波动分析.从而分析急诊室医疗设备故障的变化幅度与时间范围的关系.以此来管控急诊室医疗设备故障异常波动.定位问题,针对性的做介入管控和调节.该模型普适于各大医院和医疗机构.1:数据来源: 以多个医院固定资产系统中急诊室医疗设备故障数据为依据，经系统算法加工得出
2: 数据处理:
设备名称: PN ; 
规格型号:SPEC ; 
设备单价:  DP 设备采购单价  ; 
设备购入时间: DIT 设备采购时间  ; 
故障时间: DET 设备出现故障的时间 ;
设备故障原因: DER 设备出现故障的原因 ;
设备设定生命周期: DAC 指该设备从采购到报废的时间;
设备异常预警:  DEC  设备是否在设定的生命周期内出现故障
3:算法分析:
采用公式计算该急诊室医疗设备异常预警 DEC= (DET-DIT)-DAC;
4:数据应用: 在医院急诊室医疗设备故障分析场景中,该急诊室医疗设备异常预警 DEC(  小于0,该急诊室医疗设备异常预警为异常, 大于等于0该急诊室医疗设备异常预警为正常 );

In the scenario of medical equipment failure analysis in hospital emergency departments, the data generated by mining the fault data of emergency medical equipment and time dimensions in hospitals can assist hospital supervisors in analyzing abnormal fluctuations of medical equipment failures in emergency departments, thereby exploring the relationship between the fluctuation range of emergency medical equipment failures and time span, to control abnormal fluctuations of emergency medical equipment failures, locate problems, and implement targeted intervention control and adjustment. This model is generally applicable to major hospitals and medical institutions.
1. Data Source: Based on the fault data of emergency medical equipment from the fixed asset systems of multiple hospitals, processed via systematic algorithms.
2. Data Processing:
- Equipment Name: PN;
- Specification and Model: SPEC;
- Equipment Unit Price: DP (equipment procurement unit price);
- Equipment Purchase Time: DIT (equipment procurement time);
- Fault Occurrence Time: DET (time when the equipment fails);
- Equipment Fault Reason: DER (reason for equipment failure);
- Designated Lifespan of Equipment: DAC (the time span from equipment procurement to scrappage);
- Abnormality Early Warning: DEC (whether the equipment fails within its designated lifespan)
3. Algorithm Analysis:
The formula for calculating the abnormality early warning DEC of emergency medical equipment is: DEC = (DET - DIT) - DAC;
4. Data Application: In the scenario of medical equipment failure analysis in hospital emergency departments, for the abnormality early warning DEC of emergency medical equipment: if DEC < 0, the failure of the emergency medical equipment is judged as abnormal; if DEC ≥ 0, the failure is judged as normal.

搜集汇总

背景与挑战

背景概述

该数据集包含796条医院急诊室医疗设备故障记录，每月更新，涵盖设备名称、故障时间、故障原因等关键字段，用于分析设备故障异常波动，辅助医院进行设备管理。