five

RFID timestamp and electronic survey data for patient experience

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doi.org2025-03-22 收录
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http://doi.org/10.17632/r8fx32jpzy.1
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This dataset has survey data of patient’s experiences and RFID timestamp data for recording patient’s journey in a hospital. RFID machines are deployed at three stations of the hospital namely registration, OPD and doctor front desk. RFID data is recorded using the ZKTeco model K30 RFID machine with RFID tags of 125 kHz and it contains the timestamp information of each patient spent at the station. The survey data is collected using an electronic application developed through the Android technology installed on Tablet PC The timestamp data of each patient is recorded using RFIDs deployed at three stations (registration, OPD, doctor). An RFID tag is given to each patient which he swipes on the station RFID machine which records the patient's timestamp at each station. After visiting the doctor the patient fills the automated survey form that has 18 questions regarding services of six stations on Tablet PC. The survey form is taken from the hospital. The data is used is to develop an algorithm for an automated patient experience system. The hospital service management can take corrective actions by looking at the timestamp data collected through RFIDs to calculate queue time and actual process time to check congestion at each station. The analysis of electronic survey data is useful for hospital service management to check the weak service of the station.

本数据集收录了患者体验的调查数据和用于记录患者在医院旅程的 RFID 时间戳数据。RFID 设备部署在医院的三处站点,即登记处、门诊部和医生前台。使用 ZKTeco 公司生产的 K30 型 RFID 设备记录 RFID 标签(125 kHz 频率)的数据,其中包含每位患者在各个站点停留的时间戳信息。调查数据通过安装在平板电脑上的基于 Android 技术的电子应用程序收集。每位患者都会获得一个 RFID 标签,该标签在各个站点的 RFID 设备上进行刷卡,记录患者在各个站点的时间戳。患者就诊后,将填写包含18个问题的自动调查表格,这些表格与六个站点的服务相关,调查表格由医院提供。数据用于开发自动化患者体验系统的算法。医院服务管理部门可以通过分析 RFID 收集的时间戳数据来计算排队时间和实际处理时间,从而检查各个站点的拥堵情况。电子调查数据的分析对于医院服务管理部门检查站点薄弱服务环节具有重要意义。
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