机器学习在患者出院准备服务中的应用进展  

Research progress on application of machine learning in discharge preparation service for patients

作　　者：胡欢婷 洪思思 贾盈盈 宋剑平[1] HU Huanting;HONG Sisi;JIA Yingying;SONG Jianping

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 [2]浙江中医药大学护理学院

出　　处：《中华护理杂志》2024年第3期378-384,共7页Chinese Journal of Nursing

基　　金：浙江省医药卫生科技计划项目(2023KY720)。

摘　　要：随着医药卫生体制改革的深化以及就医秩序的持续优化,组织制订入出院标准,完善患者出院准备服务尤为重要。近年来,机器学习技术在医学领域的研究及应用不断深入,在处理数据及风险预测研究等方面具有独特优势。该研究从机器学习的发展进程、类型、在患者出院准备服务中的应用内容及效果、目前面临的问题等方面进行综述,以期为医护人员实施最佳临床决策提供参考,进一步完善患者出院准备服务模式。With the deepening of the reform of the medical and health system and the continuous optimization of the medical order,it is especially important to organize the development of admission and discharge standards and improve the service of preparing patients for discharge.In recent years,the research and application of machine learning technology in the medical field has been intensifying,and it has unique advantages in processing data and risk prediction research.Therefore,this paper reviews the development process,types of machine learning,the content and effects of its application in patient discharge preparation services,and the current problems,in order to provide references for healthcare professionals to implement the best clinical decisions and further improve the patient discharge preparation service model.

关 键 词：机器学习 出院准备服务 临床决策 出院护理 综述 

分 类 号：R473[医药卫生—护理学]