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突发疫情疑似症状风险自查应用的交互设计研究
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1.中南大学 建筑与艺术学院 工业设计系;2.中南大学 湘雅医院 医院感染控制中心;3.中南大学 湘雅医院 移动医疗教育部中国移动联合实验室

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基金项目:

国家重点研发计划(2018YFC2002400), National Key R D Program of China (2018YFC2002400); 湖南省自然科学青年基金(2020JJ5781);Youth Program of Natural Science Foundation of Hunan Province China (2020JJ5781)


Emergent Epidemic Suspected Symptoms Risk Self-check Application Design Research
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1.School of Architecture and Art,Central South University;2.Department of Infection Control Center,Xiangya Hospital,Central South University;3.Mobile Health Ministry of Education - China Mobile Joint Laboratory,Xiangya Hospital,Central South University

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    摘要:

    针对突发疫情带来的患者线下交叉感染风险与医护人工排查患者工作量激增的社会公共安全问题,在国家卫健委发布的《突发疫情防控方案》基础上,根据文献法、流行病学理论、专家咨询与主观赋权法(医院感控、呼吸内科、危急重症科、疾病控制中心等专家)、人机交互设计、用户测试与可用性评估等方法,进行突发疫情疑似症状风险自查内容、可供选项、风险权重与阈值以及人机交互设计研究,设计得出基于患者年龄、高危职业、疫区接触与暴露史、既往病史与疑似症状进行评估的突发疫情疑似症状风险自查应用。通过患者根据实际情况的客观回答,综合基于流行病学的不同选项风险权重统计得分与阈值设定,给出患者进行居家观察、隔离或就医、立即就医不同建议。2020年2月5日-9日通过湘雅医院公众号、呼吸科和发热门诊、以及社交媒体面向全社会发布该应用,根据后台应用数据反馈,几日突破20万访问量,单日最高达9万。研究结果表明在突发疫情爆发早期,疑似症状风险自查应用为民众提供了简单易行的临床判断科学依据,一定程度上缓解了民众盲目焦虑,线下交叉感染风险以及医护人工排查工作量,为未来新型传染病疫情防控,提供了线上疑似症状风险筛查分类与线下患者分流就医的防控策略与人机交互设计参考。

    Abstract:

    A surge in the workload of the hospital for testing potential patients and an increased risk of cross-infection among patients due to emergent epidemic, poses a critical social public safety problem to solve. In reference to the Protocol for Prevention and Control of emergent epidemic issued by the National Health Commission of China, through literature review, expert consultation and subjective weighting (involving experts from the Departments of Infection Control, Respiratory Medicine, Critical Care, and the Center for Disease Control), and human-computer interactive design, user test and usability evaluation methods, the content of online affected risk self-check application, available options, risk weighting and threshold, and human-computer interactions of high usability have been investigated. The online emergent epidemic affected risk self-check application take the age of patients, engagement in high-risk occupations, history of contact and exposure in epidemic areas, medical history, and suggested symptoms into considerations. Based on the objective inputs by the patients and risk score calculation, the application gives reliable suggestions to self-monitor at home, self-isolate, or seek immediate medical attention. It is easy to use, understand and promote online to patients of different cultural background. Following small-scale internal testing, the application was launched and promoted to the general public by the official WeChat account of Xiangya Hospital, the Department of Respiratory Medicine, Fever Clinic, and Social Media Platforms between February 5 and 9, 2020. The number of visits exceeded 200,000 in just a few days and reached a daily maximum of 90,000. The online emergent epidemic affected risk self-check application alleviates the social panic, resolves the shortage of manual screening, and reduces the risk of cross-infection among patients by providing a straightforward, easy-to-understand scientific protocol. It provides references for future new epidemics prevention and control through online classification and offline triage of patients of suspected symptoms.

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  • 收稿日期: 2020-12-22
  • 最后修改日期: 2021-01-19
  • 录用日期: 2021-01-23
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