人工智能辅助下肿瘤专科分诊网络平台的实现与效果评价  

Implementation and effectiveness evaluation of oncology specialty triage network platform with the assistance of artificial intelligence

作　　者：陈婵 郭俊晨 谌永毅[2] 刘超毅 田晓琼[2] 周莲清[2] Chen Chan;Guo Junchen;Chen Yongyi;Liu Chaoyi;Tian Xiaoqiong;Zhou Lianqing(School of Journalism and Communication,Hunan Normal University,Changsha 410006,China)

机构地区：[1]湖南师范大学新闻与传播学院,湖南长沙410006 [2]湖南省肿瘤医院

出　　处：《护理学杂志》2023年第20期1-4,共4页Journal of Nursing Science

基　　金：湖南省自然科学基金项目(2020JJ4417);湖南省科技厅重点领域研发计划项目(2020K2121);湖南省卫生健康委员会一般指导项目(D202314058838)。

摘　　要：目的 方便门诊肿瘤患者快捷精准就诊,改善患者就医体验。方法 引入光学字符识别、人工智能信息技术与自然语言处理技术建立肿瘤专科分诊网络平台,于2020年9月开始用于肿瘤专科医院门诊就诊患者;统计2021年应用实况及患者(调查230例)满意度。结果 2021年使用网络平台预约就诊1 140例,分诊预约准确率为95.00%;患者预约满意度得分为8.52±1.85。结论 人工智能肿瘤专科分诊网络平台用于门诊,有利于肿瘤患者精准预约,改善就医体验。Objective To provide fast and accurate medical consultation for outpatient oncology patients,and to improve their medical experience.Methods An oncology specialty triage network platform was established using optical character recognition,artificial intelligence,and natural language processing technologies.The platform was implemented in September 2020 for outpatient appointments in a cancer hospital.Data from the year 2021 were collected,including use status and patient satisfaction(survey of 230 cases).Results In 2021,the network platform facilitated 1,140 appointments,with an accuracy rate of triage appointment being 95.00%.The score of patient satisfaction with appointment was 8.52±1.85.Conclusion The application of an artificial intelligence-based oncology specialty triage network platform in outpatient settings enhances the precision of patient appointments and improves the overall medical experience of cancer patients.

关 键 词：肿瘤患者 门诊就诊 分诊 网络平台 人工智能 信息化护理 就医体验 

分 类 号：R473.73[医药卫生—护理学] TP393[医药卫生—临床医学]