上海口腔医学 ›› 2023, Vol. 32 ›› Issue (2): 183-187.doi: 10.19439/j.sjos.2023.02.013

• 论著 • 上一篇    下一篇

基于AI智能语音随访的口腔科互联网门诊患者使用现状分析

陶毛毛1,*, 刘隽1,*, 廖骞2#, 王旭东3#   

  1. 1.上海交通大学医学院附属第九人民医院 门急诊管理处,2.上海交通大学医学院附属第九人民医院口腔综合科,3.口腔颅颌面科,上海交通大学口腔医学院,国家口腔医学中心,国家口腔疾病临床医学研究中心,上海市口腔医学重点实验室,上海市口腔医学研究所,上海 200011
  • 收稿日期:2022-09-22 修回日期:2022-10-23 出版日期:2023-04-25 发布日期:2023-06-13
  • 通讯作者: 廖骞,E-mail: lqlqliaoqian@hotmail.com;王旭东,E-mail: xudongwang70@hotmail.com。#共同通信作者
  • 作者简介:陶毛毛(1993-),男,硕士,E-mail: tmmswer@163.com;刘隽(1972-),女,硕士,E-mail: ybb539355@163.com。*并列第一作者
  • 基金资助:
    上海市申康医院发展中心临床科技创新项目(SHDC12020626)

Analysis of the use status of internet outpatient in stomatological departments based on AI follow-up

TAO Mao-mao1, LIU Jun1, LIAO Qian2, WANG Xu-dong3   

  1. 1. Outpatient and Emergency Management Office, Shanghai Ninth People's Hospital, Shanghai Jiao Tong Univerity School of Medieine. Shanghai 200011;2. Department of General Dentistry, 3. Department of Oral and Craniomaxillofacial Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine; College of Stomatology, Shanghai Jiao Tong University; National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology; Shanghai Research Institute of Stomatology. Shanghai 200011, China
  • Received:2022-09-22 Revised:2022-10-23 Online:2023-04-25 Published:2023-06-13

摘要: 目的: 分析口腔科互联网门诊的使用现状及效果满意度情况,探索口腔科互联网医疗模式和平台搭建模式。方法: 选择2021年1月—6月于上海交通大学医学院附属第九人民医院口腔科互联网门诊就诊的患者,采用自行设计问卷进行诊后AI智能语音随访。采用SPSS 21.0软件包对数据进行统计学分析。结果: 共收集到有效问卷372份。口腔复诊患者男女比为1.25:1,平均35.96岁,学历以本科及以上为主,患者主要来自长三角地区。53.76%的患者需要配药,81.72%的口腔科患者认为互联网门诊的就诊流程方便,79.83%的患者认为互联网门诊的系统操作方便。二元Logistic回归分析显示,互联网门诊效果满意度与数字素养、就诊流程便捷度显著相关,而与性别、文化程度、网上就诊时长、系统操作便捷度无相关性。结论: 口腔科互联网诊疗具有可行性,仍需突破其局限性,进一步创新口腔科互联网诊疗服务功能。互联网复诊患者以中青年为主,但仍需关爱老年特殊人群。需进一步优化流程、升级系统和创新管理,强化政策支持和激励机制,促进口腔科医疗服务模式转型。

关键词: 互联网门诊, 口腔科, 线上诊疗, AI智能语音随访

Abstract: PURPOSE: To analyze the use status and satisfaction of the follow-up patients, and explore the construction of internet medical service model and platform in stomatology. METHODS: Patients who visited the internet clinic of stomatology from January to June, 2021 were selected. After diagnosis and treatment, they were followed up by AI intelligent voice with self-designed questionnaire. SPSS 21.0 software was used for statistical analysis. RESULTS: A total of 372 valid questionnaires were collected. The male-to-female ratio of oral patients was 1.25:1, with an average age of 35.96 years. Most of them had a bachelor's degree or above, and the patients were mainly from the Yangtze River Delta. 53.76% of patients needed doctors to prescribe drugs. 81.72% of the dental patients believed that the consultation process of internet clinic was convenient, and 79.83% of patients perceived that the system operation of internet clinic was convenient. Binary logistic regression showed that digital literacy, convenience of medical treatment process were significantly related to the satisfaction of internet outpatient service, while gender, education level, online medical treatment duration and convenience of system operation were not related. CONCLUSIONS: Internet medical treatment in stomatology is feasible, but it is still necessary to break through limitations and further innovate service function. Internet outpatients are mainly young and middle-aged, but it is still necessary to care for the special group of the elderly. It is necessary to further optimize the process, upgrade the system and innovate management, strengthen policy support and incentive mechanism, and promote the transformation of medical service mode in stomatology.

Key words: Internet outpatient, Stomatology, Online diagnosis and treatment, AI intelligent voice follow-up

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