共享机制下慢性病检测类仪器平均使用耗时分析数据

本数据通过计算每天平均耗时并据此提出维护建议，能够为在共享机制下慢性病检测类分析仪器的使用优化提供科学依据。通过精确的平均使用耗时计算并基于维护建议，设备管理者可以更好地做出该设备的使用和维护决策，有效降低设备的报废风险，保障设备的整体工作效率和服务质量。本数据也可以为医共体模式和医学设备共享机制的研究和策划人员提供参考，从而做出科学决策，推动基层医学资源高效共享。1.数据收集和预处理：（1）数据收集：基于门诊助手app对在共享机制下对慢性病检测类分析仪器的使用数据进行采集，并对该类机械的平均使用耗时进行分析，具体包括采集周期、月份天数（天）、设备名称、设备编号、总使用时长（时）、最大每日使用时长（时）、最小每日使用时长（时）等数据字段。（2）数据预处理：对采集到的原始数据进行处理，去除缺失和异常数据。
2.每天平均耗时计算：每天平均耗时 = （总使用时长 / 月份天数） × （1 + （最大每日使用时长 - 最小每日使用时长） / 总使用时长）。
3.数据分析：当每天平均耗时 ≤ 110 时，说明设备使用较为合理，建议“保持现有维护策略”；当 110 < 每天平均耗时 ≤ 200 时，说明设备处于可控、但较高的使用强度范围内，建议“适当增加维护频率”；当每天平均耗时 > 200 时，说明设备可能存在过载使用的风险，建议“优化使用安排或升级设备”。

This dataset is developed by calculating the average daily operating time and proposing targeted maintenance suggestions, which can provide a scientific basis for optimizing the utilization of chronic disease testing analytical instruments under the shared mechanism. With accurate average daily operating time calculation and supporting maintenance recommendations, equipment managers can make more informed decisions regarding the use and maintenance of such devices, effectively reducing the risk of equipment scrapping and safeguarding the overall operational efficiency and service quality of the equipment. This dataset can also serve as a reference for researchers and planners engaged in the medical community model and medical equipment sharing mechanism research, enabling them to make scientific decisions and promote the efficient sharing of grassroots medical resources.
1. Data Collection and Preprocessing:
(1) Data Collection: Based on the Outpatient Assistant App, collect the usage data of chronic disease testing analytical instruments under the shared mechanism, and analyze the average operating duration of such instruments. The specific collected data fields include: collection cycle, number of days in the month, equipment name, equipment serial number, total operating duration (hours), maximum daily operating duration (hours), minimum daily operating duration (hours), etc.
(2) Data Preprocessing: Process the collected raw data by eliminating missing and abnormal data entries.
2. Calculation of Average Daily Operating Time: Average daily operating time = (total operating duration / number of days in the month) × (1 + (maximum daily operating duration - minimum daily operating duration) / total operating duration)
3. Data Analysis: When the average daily operating time ≤ 110, the equipment is considered to be used reasonably, and it is recommended to "maintain the existing maintenance strategy"; when 110 < average daily operating time ≤ 200, the equipment is within a controllable but high usage intensity range, and it is recommended to "appropriately increase the maintenance frequency"; when the average daily operating time > 200, the equipment may face the risk of overloading, and it is recommended to "optimize the usage arrangement or upgrade the equipment".

搜集汇总

背景与挑战

背景概述

该数据集记录了共享机制下慢性病检测类仪器的使用耗时数据，包含设备名称、编号、使用时长等字段，旨在通过分析平均使用耗时提供维护建议，优化设备使用效率。数据规模为555条，适用于设备管理和医学资源共享研究。