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作 者:宋萍[1] 胡敏[1] 曾洁 SONG Ping;HU Min;ZENG Jie(Nursing Department,The Second Affiliated Hospital of Zhejiang University School of Medicine,Hangzhou,310009,China)
机构地区:[1]浙江大学医学院附属第二医院护理部,杭州市310009
出 处:《中国护理管理》2024年第6期920-923,共4页Chinese Nursing Management
基 金:浙江省卫生健康委员会医药卫生科技计划项目(2023KY735)。
摘 要:目的:分析线上诊疗预住院模式在日间化疗中心收治患者中的应用效果,以期解决肿瘤患者因床位紧张导致治疗不及时的问题。方法:借助信息技术实施线上诊疗预住院模式干预,实现患者居家上传检查检验报告、医生在线评估结果、医院代办预住院、医生预开医嘱制度,比较实施前后的相关指标。结果:线上诊疗预住院模式实施后,患者在院等待输液时间由实施前的(113.78±1.77)min缩短至(85.58±0.87)min(P<0.05);每月治疗人次由409人次增加至1116人次,增幅达172.9%,床位使用率由66.0%上升至180.0%,增幅达172.7%;患者对日间化疗出入院手续办理满意度由84.4%上升至91.8%,总体满意度由90.6%上升至93.8%。结论:线上诊疗预住院模式安全可行,将其运用于日间化疗中心可缩短肿瘤患者在院等待输液时间,提高床位利用率和患者满意度,有效缓解因床位缺乏导致患者化疗推迟的困境。Objective:To investigate the effects of online diagnosis and treatment pre-hospitalization model in patients admitted to the daytime chemotherapy center.Methods:With the help of information technology,the following tasks were carried out through online system:patients uploaded the examination results,physicians assessed these results,and pre�hospitalization and medical orders were prescribed.Medical outcomes were compared before and after the implementation of the model.Results:After the implementation of pre-hospitalization model of online diagnosis and treatment,the waiting time of patients for intravenous infusion decreased from(113.78±1.77)min to(85.58±0.87)min(P<0.05).The number of patients treated per month increased from 409 to 1116 with an increase rate of 172.9%.The utilization rate of beds increased from 66.0%to 180.0%with an increase rate of 172.7%.The satisfaction level of admission and discharge in daytime chemotherapy center increased from 84.4%to 91.8%and the overall satisfaction increased from 90.6%to 93.8%.Conclusion:The pre�hospitalization model of online diagnosis and treatment is safe and feasible.Its application in the daytime chemotherapy center can shorten the waiting time for intravenous infusion in the hospital,improve the beds utilization rate,improve patient satisfaction level,and effectively alleviate the dilemma of delaying chemotherapy for patients due to lack of beds.
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