RFID timestamp and electronic survey data for patient experience

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.本数据集包含患者就医体验调研数据，以及用于记录患者医院就诊全流程的射频识别（Radio Frequency Identification，RFID）时间戳数据。医院在三个站点部署了RFID设备，分别为挂号处、门诊（Outpatient Department，OPD）与医生前台。本次采集所用RFID设备为ZKTeco品牌K30型RFID设备，搭配125 kHz频段的RFID标签，可记录每位患者在各站点的停留时间戳信息。调研数据通过搭载安卓（Android）系统的平板电脑（Tablet PC）开发的电子应用程序采集：每位患者都会获得一枚RFID标签，在各站点的RFID设备上刷卡后，设备将自动记录其在对应站点的停留时间戳。完成就诊后，患者需在平板电脑上填写自动生成的调研问卷，该问卷包含针对医院六个服务站点的18项问题，问卷模板取自该医院。本数据集可用于开发自动化患者体验评估算法。医院服务管理人员可通过分析RFID采集的时间戳数据，计算各站点的排队时长与实际处理时长，以此排查站点拥堵情况；同时，电子调研数据的分析结果能够帮助医院管理方识别各站点的服务短板，从而采取针对性的改进措施。