Department of Breast, Head and Neck Oncology, First Affiliated Hospital of Jinzhou Medical University, No. 2 Duan 5, Renmin Street, Guta District, Jinzhou, 121001, Liaoning Province, China.
Tumor Vascular and Microenvironment Laboratory, First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China.
BMC Health Serv Res. 2024 Jul 12;24(1):806. doi: 10.1186/s12913-024-11206-6.
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.
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.
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.
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.
在 COVID-19 大流行期间，医院成为常态化防控的焦点。本研究旨在探讨在科室公众微信账号中开发的癌症患者住院床位预约系统的可行性，以及该系统在提高运营效率和护理质量管理、优化护理人力部署方面的作用。
我们利用微信促进癌症患者与医护人员之间的沟通。此外，我们通过医院信息系统收集住院患者入院、出院、平均住院日、床位使用率和占用床日数据，通过护士排班系统收集护士工作时间和能力水平数据。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，收集预约系统接受的入院、拒绝入院和取消入院的人数。通过比较预约前后的住院出院人数以及平均住院和床位使用率，分析床位预约系统对科室运营效率的影响。通过比较每月护士工作时间和每位患者每天的平均护理时间，分析系统对护士工作时间和护理质量指标的影响。
预约系统实施后，平均住院时间、床位使用率和护士工作时间显著降低，每位患者每天的平均护理时间显著升高。癌症患者全周期床位信息管理模式不影响出院患者人数。
患者可以在家中通过科室官方微信公众号的住院床位预约系统提前预约床位类型，这使护士可以提前做好工作准备。这提高了科室的运营效率和护理质量，并优化了护理人力部署。
