医院检验科医疗设备故障分析数据

在医院检验科医疗设备故障分析场景中,通过对医院的检验科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检验科医疗设备故障的异常波动分析.从而分析检验科医疗设备故障的变化幅度与时间范围的关系.以此来管控检验科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检验科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
创建时间: CD 数据创建的日期
3:算法分析:
采用公式计算该检验科医疗设备异常预警 DEC= (DET-DIT)-DAC;
4:数据应用: 在医院检验科医疗设备故障分析场景中,该检验科医疗设备异常预警 DEC( 小于0,该检验科医疗设备异常预警为异常, 大于等于0该检验科医疗设备异常预警为正常 );

In the scenario of medical equipment failure analysis for hospital clinical laboratories, data generated by mining fault records and time dimension data of clinical laboratory medical equipment in hospitals can be used by models to assist hospital supervisors in conducting abnormal fluctuation analysis of medical equipment faults in clinical laboratories, thereby analyzing the relationship between the change amplitude of clinical laboratory medical equipment faults and the time range, so as to control abnormal fluctuations of such faults, 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 clinical laboratory medical equipment from the fixed asset systems of multiple hospitals, processed via systematic algorithms.

2. Data Processing:
- Device Name: PN
- Specification and Model: SPEC
- Equipment Unit Price: DP (equipment procurement unit price)
- Equipment Purchase Time: DIT (equipment procurement time)
- Fault Time: DET (time when the equipment fails)
- Equipment Fault Cause: DER (cause of equipment failure)
- Set Equipment Lifecycle: DAC (refers to the time period from equipment procurement to scrapping)
- Equipment Abnormality Early Warning: DEC (whether the equipment fails within its set lifecycle)
- Data Creation Time: CD (date when the data is created)

3. Algorithm Analysis:
The formula for calculating the clinical laboratory medical equipment abnormality early warning indicator DEC is: DEC = (DET - DIT) - DAC

4. Data Application:
In the scenario of medical equipment failure analysis for hospital clinical laboratories, the abnormality early warning indicator DEC is judged as follows: if DEC < 0, the clinical laboratory medical equipment has an abnormal fault; if DEC ≥ 0, the clinical laboratory medical equipment fault is normal.

搜集汇总

背景与挑战

背景概述

该数据集包含635条医院检验科医疗设备故障数据，每月更新，适用于设备故障分析场景，帮助监管人员识别异常波动并进行针对性管控。