PDF(Pubmed)
Abstract：
BACKGROUND: During the prolonged COVID-19 pandemic, hospitals became focal points for normalised prevention and control. In this study, we investigated the feasibility of an inpatient bed reservation system for cancer patients that was developed in the department?s public WeChat account. We also explored its role in improving operational efficiency and nursing quality management, as well as in optimising nursing workforce deployment.
METHODS: We utilised WeChat to facilitate communication between cancer patients and health care professionals. Furthermore, we collected data on admissions, discharges, average number of hospitalisation days, bed utilisation rate, and the number of bed days occupied by hospitalised patients through the hospital information system and nurses? working hours and competency levels through the nurse scheduling system. The average nursing hours per patient per day were calculated. Through the inpatient bed reservation system, the number of accepted admissions, denied admissions, and cancelled admissions from the reservation system were collected. The impact of the bed reservation system on the department?s operational efficiency was analysed by comparing the number of hospitalisation discharges before and after reservations, as well as the average hospitalisation and bed utilisation rates. By comparing nurses? working hours per month and average nursing hours per patient per day, the system?s impact on nurses? working hours and nursing quality indicators was analysed.
RESULTS: The average hospitalisation length, bed utilisation rate, and nurses? working hours were significantly lower, and the average number of nursing hours per patient per day was significantly higher after the implementation of the reservation system. The full-cycle bed information management model for cancer patients did not affect the number of discharged patients.
CONCLUSIONS: Patients? ability to reserve bed types from home in advance using the department?s official WeChat-based inpatient bed reservation system allowed nurses to prepare for their work ahead of time. This in turn improved the operational efficiency of the department and nursing quality, and it optimised the deployment of the nursing workforce.
METHODS: We utilised WeChat to facilitate communication between cancer patients and health care professionals. Furthermore, we collected data on admissions, discharges, average number of hospitalisation days, bed utilisation rate, and the number of bed days occupied by hospitalised patients through the hospital information system and nurses? working hours and competency levels through the nurse scheduling system. The average nursing hours per patient per day were calculated. Through the inpatient bed reservation system, the number of accepted admissions, denied admissions, and cancelled admissions from the reservation system were collected. The impact of the bed reservation system on the department?s operational efficiency was analysed by comparing the number of hospitalisation discharges before and after reservations, as well as the average hospitalisation and bed utilisation rates. By comparing nurses? working hours per month and average nursing hours per patient per day, the system?s impact on nurses? working hours and nursing quality indicators was analysed.
RESULTS: The average hospitalisation length, bed utilisation rate, and nurses? working hours were significantly lower, and the average number of nursing hours per patient per day was significantly higher after the implementation of the reservation system. The full-cycle bed information management model for cancer patients did not affect the number of discharged patients.
CONCLUSIONS: Patients? ability to reserve bed types from home in advance using the department?s official WeChat-based inpatient bed reservation system allowed nurses to prepare for their work ahead of time. This in turn improved the operational efficiency of the department and nursing quality, and it optimised the deployment of the nursing workforce.
摘要：
背景：在长时间的COVID-19大流行期间，医院成为常态化防控的重点。在这项研究中,我们调查了在该部门的公众微信账户中开发的癌症患者住院床位预约系统的可行性。我们还探讨了其在提高运营效率和护理质量管理方面的作用，以及优化护理人员的部署。
方法：我们利用微信促进癌症患者和医疗保健专业人员之间的沟通。此外，我们收集了招生数据,放电,平均住院天数,床利用率，以及住院患者通过医院信息系统和护士占用的床位天数？通过护士调度系统的工作时间和能力水平。计算每位患者每天的平均护理时间。通过住院床位预约系统,被录取的人数，拒绝录取，并从预订系统收集取消的招生。通过比较预约前后住院出院人数,分析预约床位制度对科室运作效率的影响,以及平均住院率和床位利用率。通过比较护士？每月工作时间和每位患者每天的平均护理时间，该制度对护士工作时间和护理质量指标的影响进行了分析。
结果：平均住院时间，床利用率，和护士？工作时间明显减少，预约制度实施后，每位患者每天的平均护理小时数明显较高。癌症患者全周期病床信息化管理模式不影响患者出院人数。
结论：患者能够使用科室基于微信的官方住院床位预约系统提前在家预约床位类型，使护士能够提前准备工作。这反过来又提高了科室的运作效率和护理质量,它优化了护理人员的部署。
方法：我们利用微信促进癌症患者和医疗保健专业人员之间的沟通。此外，我们收集了招生数据,放电,平均住院天数,床利用率，以及住院患者通过医院信息系统和护士占用的床位天数？通过护士调度系统的工作时间和能力水平。计算每位患者每天的平均护理时间。通过住院床位预约系统,被录取的人数，拒绝录取，并从预订系统收集取消的招生。通过比较预约前后住院出院人数,分析预约床位制度对科室运作效率的影响,以及平均住院率和床位利用率。通过比较护士？每月工作时间和每位患者每天的平均护理时间，该制度对护士工作时间和护理质量指标的影响进行了分析。
结果：平均住院时间，床利用率，和护士？工作时间明显减少，预约制度实施后，每位患者每天的平均护理小时数明显较高。癌症患者全周期病床信息化管理模式不影响患者出院人数。
结论：患者能够使用科室基于微信的官方住院床位预约系统提前在家预约床位类型，使护士能够提前准备工作。这反过来又提高了科室的运作效率和护理质量,它优化了护理人员的部署。
