支持医院内的协作式健康追踪:病人的观点。

Sonali R Mishra, Andrew D Miller, Shefali Haldar, Maher Khelifi, Jordan Eschler, Rashmi G Elera, Ari H Pollack, Wanda Pratt
{"title":"支持医院内的协作式健康追踪:病人的观点。","authors":"Sonali R Mishra, Andrew D Miller, Shefali Haldar, Maher Khelifi, Jordan Eschler, Rashmi G Elera, Ari H Pollack, Wanda Pratt","doi":"10.1145/3173574.3174224","DOIUrl":null,"url":null,"abstract":"<p><p>The hospital setting creates a high-stakes environment where patients' lives depend on accurate tracking of health data. Despite recent work emphasizing the importance of patients' engagement in their own health care, less is known about how patients track their health and care in the hospital. Through interviews and design probes, we investigated hospitalized patients' tracking activity and analyzed our results using the stage-based personal informatics model. We used this model to understand how to support the tracking needs of hospitalized patients at each stage. In this paper, we discuss hospitalized patients' needs for collaboratively tracking their health with their care team. We suggest future extensions of the stage-based model to accommodate collaborative tracking situations, such as hospitals, where data is collected, analyzed, and acted on by multiple people. Our findings uncover new directions for HCI research and highlight ways to support patients in tracking their care and improving patient safety.</p>","PeriodicalId":74552,"journal":{"name":"Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference","volume":"2018 ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5927606/pdf/nihms953105.pdf","citationCount":"0","resultStr":"{\"title\":\"Supporting Collaborative Health Tracking in the Hospital: Patients' Perspectives.\",\"authors\":\"Sonali R Mishra, Andrew D Miller, Shefali Haldar, Maher Khelifi, Jordan Eschler, Rashmi G Elera, Ari H Pollack, Wanda Pratt\",\"doi\":\"10.1145/3173574.3174224\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The hospital setting creates a high-stakes environment where patients' lives depend on accurate tracking of health data. Despite recent work emphasizing the importance of patients' engagement in their own health care, less is known about how patients track their health and care in the hospital. Through interviews and design probes, we investigated hospitalized patients' tracking activity and analyzed our results using the stage-based personal informatics model. We used this model to understand how to support the tracking needs of hospitalized patients at each stage. In this paper, we discuss hospitalized patients' needs for collaboratively tracking their health with their care team. We suggest future extensions of the stage-based model to accommodate collaborative tracking situations, such as hospitals, where data is collected, analyzed, and acted on by multiple people. Our findings uncover new directions for HCI research and highlight ways to support patients in tracking their care and improving patient safety.</p>\",\"PeriodicalId\":74552,\"journal\":{\"name\":\"Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference\",\"volume\":\"2018 \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5927606/pdf/nihms953105.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3173574.3174224\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2018/4/21 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3173574.3174224","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2018/4/21 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

医院环境是一个高风险的环境,患者的生命取决于对健康数据的准确跟踪。尽管最近的研究强调了患者参与自身健康护理的重要性,但人们对患者在医院如何追踪自己的健康和护理却知之甚少。通过访谈和设计探究,我们调查了住院患者的追踪活动,并使用基于阶段的个人信息学模型对结果进行了分析。我们利用这一模型来了解如何支持住院病人在每个阶段的追踪需求。在本文中,我们讨论了住院病人与护理团队合作追踪健康状况的需求。我们建议未来对基于阶段的模型进行扩展,以适应协作跟踪的情况,例如在医院,数据由多人收集、分析和处理。我们的研究结果为人机交互研究开辟了新的方向,并强调了支持患者追踪护理和提高患者安全的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Supporting Collaborative Health Tracking in the Hospital: Patients' Perspectives.

The hospital setting creates a high-stakes environment where patients' lives depend on accurate tracking of health data. Despite recent work emphasizing the importance of patients' engagement in their own health care, less is known about how patients track their health and care in the hospital. Through interviews and design probes, we investigated hospitalized patients' tracking activity and analyzed our results using the stage-based personal informatics model. We used this model to understand how to support the tracking needs of hospitalized patients at each stage. In this paper, we discuss hospitalized patients' needs for collaboratively tracking their health with their care team. We suggest future extensions of the stage-based model to accommodate collaborative tracking situations, such as hospitals, where data is collected, analyzed, and acted on by multiple people. Our findings uncover new directions for HCI research and highlight ways to support patients in tracking their care and improving patient safety.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
MigraineTracker: Examining Patient Experiences with Goal-Directed Self-Tracking for a Chronic Health Condition. Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis. Understanding the Role of Large Language Models in Personalizing and Scaffolding Strategies to Combat Academic Procrastination. Investigating the Role of Context in the Delivery of Text Messages for Supporting Psychological Wellbeing. Understanding Contexts and Challenges of Information Management for Epilepsy Care.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1