Towards a Medical Oriented Social Network Service: Analysis of Instant Messaging Communication among Emergency Physicians

IF 0.8 Q4 ENGINEERING, BIOMEDICAL
Kensuke Morris, Osamu Sugiyama, Goshiro Yamamoto, Manabu Shimoto, G. Kato, S. Ohtsuru, Masayuki Nambu, T. Kuroda
{"title":"Towards a Medical Oriented Social Network Service: Analysis of Instant Messaging Communication among Emergency Physicians","authors":"Kensuke Morris, Osamu Sugiyama, Goshiro Yamamoto, Manabu Shimoto, G. Kato, S. Ohtsuru, Masayuki Nambu, T. Kuroda","doi":"10.14326/abe.9.35","DOIUrl":null,"url":null,"abstract":"The use of social network service (SNS) applications for health communication has revolutionized communication between physicians in recent years. We performed an unrestricted retrospective study focusing on emergency physicians (EPs) in Kyoto University Hospital (KUHP) since timely communication is important during emergencies. EPs used LINE, a popular SNS application in Japan. EPs (n = 22) sent 1752 messages from April 2017 to March 2018. Most messages sent contained text data (82.1%), the remaining contained media (17.9%); media included images (72.6%), LINE stamps (22.9%), LINE albums (2.3%) and les (1.6%). Content analysis by two coders produced 13 categories (n = 1438); these were ‘miscellaneous’, ‘patient’, ‘team’, ‘treatment’, ‘event’, ‘situation’, ‘reference’, ‘announcement’, ‘schedule’, ‘resource’, ‘policy’, ‘transport’ and ‘unknown’. The top ve message categories were related to miscellaneous chat (22.5%), patient (19.1%), team (14.3%), treatment (11.8%) and event (6.6%). The largest number of messages among EPs were sent on Monday and Friday. The numbers of messages sent among EPs during day-shift and night-shift were similar. The categories identi ed in uenced our proposal of medical oriented SNS platform features: structured tagging system for messages related to relevant categories (F1); inquiry broadcast system for speci c inquiries using structured tagging (F2); image tagging system for images shared within groups (F3) and summarized noti cations (F4). Features that need consideration are (1) an opt-in location sharing system between physicians and (2) physicians’ access to patient records from the SNS application. In this study, messages discussed by EPs were categorized and the resulting categories in uenced our proposal of a physician-centered SNS platform customized to EPs’ roles. Since physicians prefer using SNS applications compared to traditional mobile phones, their information needs should be considered. Designing a medical oriented SNS platform that is physician-centered should rst include an understanding of topics discussed by physicians. Based on the categories classi ed, the proposal of physician-centered features for designing a medical oriented SNS platform is also discussed in this paper.","PeriodicalId":54017,"journal":{"name":"Advanced Biomedical Engineering","volume":"9 1","pages":"35-42"},"PeriodicalIF":0.8000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Biomedical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14326/abe.9.35","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
引用次数: 1

Abstract

The use of social network service (SNS) applications for health communication has revolutionized communication between physicians in recent years. We performed an unrestricted retrospective study focusing on emergency physicians (EPs) in Kyoto University Hospital (KUHP) since timely communication is important during emergencies. EPs used LINE, a popular SNS application in Japan. EPs (n = 22) sent 1752 messages from April 2017 to March 2018. Most messages sent contained text data (82.1%), the remaining contained media (17.9%); media included images (72.6%), LINE stamps (22.9%), LINE albums (2.3%) and les (1.6%). Content analysis by two coders produced 13 categories (n = 1438); these were ‘miscellaneous’, ‘patient’, ‘team’, ‘treatment’, ‘event’, ‘situation’, ‘reference’, ‘announcement’, ‘schedule’, ‘resource’, ‘policy’, ‘transport’ and ‘unknown’. The top ve message categories were related to miscellaneous chat (22.5%), patient (19.1%), team (14.3%), treatment (11.8%) and event (6.6%). The largest number of messages among EPs were sent on Monday and Friday. The numbers of messages sent among EPs during day-shift and night-shift were similar. The categories identi ed in uenced our proposal of medical oriented SNS platform features: structured tagging system for messages related to relevant categories (F1); inquiry broadcast system for speci c inquiries using structured tagging (F2); image tagging system for images shared within groups (F3) and summarized noti cations (F4). Features that need consideration are (1) an opt-in location sharing system between physicians and (2) physicians’ access to patient records from the SNS application. In this study, messages discussed by EPs were categorized and the resulting categories in uenced our proposal of a physician-centered SNS platform customized to EPs’ roles. Since physicians prefer using SNS applications compared to traditional mobile phones, their information needs should be considered. Designing a medical oriented SNS platform that is physician-centered should rst include an understanding of topics discussed by physicians. Based on the categories classi ed, the proposal of physician-centered features for designing a medical oriented SNS platform is also discussed in this paper.
面向医疗的社会网络服务:急诊医师即时通讯的分析
近年来,使用社交网络服务(SNS)应用程序进行健康沟通已经彻底改变了医生之间的沟通。我们对京都大学医院(KUHP)的急诊医生(EPs)进行了一项不受限制的回顾性研究,因为在紧急情况下及时沟通很重要。EPs使用的是日本流行的社交应用LINE。2017年4月至2018年3月,共有22名EPs发送了1752条信息。大部分发送的信息包含文本数据(82.1%),其余包含媒体(17.9%);媒体包括图片(72.6%)、LINE邮票(22.9%)、LINE相册(2.3%)和书籍(1.6%)。两位编码员的内容分析产生了13个类别(n = 1438);这些词是“杂项”、“病人”、“团队”、“治疗”、“事件”、“情况”、“参考”、“公告”、“时间表”、“资源”、“政策”、“运输”和“未知”。排名前五的信息类别分别为:杂项聊天(22.5%)、患者(19.1%)、团队(14.3%)、治疗(11.8%)和事件(6.6%)。周一和周五发送的短信数量最多。在白班和夜班期间,总干事之间发送的信息数量相似。本文中确定的类别影响了我们提出的面向医疗的SNS平台功能:与相关类别相关的消息的结构化标记系统(F1);使用结构化标记的特殊查询广播系统(F2);图像标注系统用于组内共享图像(F3)和汇总标注(F4)。需要考虑的功能有:(1)医生之间的可选择位置共享系统;(2)医生从SNS应用程序访问患者记录。在本研究中,我们对医生讨论的消息进行了分类,结果影响了我们针对医生角色定制的以医生为中心的SNS平台的建议。与传统的移动电话相比,医生更喜欢使用SNS应用程序,因此应考虑他们的信息需求。设计一个以医生为中心的面向医疗的SNS平台,首先要理解医生讨论的话题。在分类的基础上,本文还讨论了以医生为中心的特征设计面向医疗的SNS平台的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Advanced Biomedical Engineering
Advanced Biomedical Engineering ENGINEERING, BIOMEDICAL-
CiteScore
1.40
自引率
10.00%
发文量
15
审稿时长
15 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信