远程患者监测改善败血症风险患者门诊护理

Tien Bui, Marisa Grayson, Katie Hofer, Kyle McGuire, Michael Morrow, Noah Rodammer, Amani Farooque, L. Barnes, S. Patek
{"title":"远程患者监测改善败血症风险患者门诊护理","authors":"Tien Bui, Marisa Grayson, Katie Hofer, Kyle McGuire, Michael Morrow, Noah Rodammer, Amani Farooque, L. Barnes, S. Patek","doi":"10.1109/SIEDS.2016.7489286","DOIUrl":null,"url":null,"abstract":"This work seeks to design and develop a remote monitoring platform for tracking indicators of sepsis with the goal of reducing hospital readmissions and mortality rates, and ultimately improving outpatient quality of care. Medicare reports spending $17.8 billion per year on avoidable readmissions, a leading cause of which is sepsis. Insufficient knowledge and improper training for postoperative care of discharged patients further enhances the importance of sepsis monitoring at home. Common indicators of sepsis include infection, elevated heart rate, elevated breathing rate, blood pressure, and fever. While these criteria can be easily tracked within the hospital, there exists no straightforward extension to the home setting because of the confounding effect of physical activity. Some of the challenges associated with remote monitoring for sepsis in discharged patients include the lower sensory quality of mobile biometric devices, the need to recognize activity in non-stationary patients, and the need to individualize the baseline criteria. In order to broaden the criteria to outpatients, this research considers the challenges of collecting and analyzing patient biometrics remotely using commercially available technology. As a result, we present a remote monitoring solution for early detection of sepsis in the outpatient setting.","PeriodicalId":426864,"journal":{"name":"2016 IEEE Systems and Information Engineering Design Symposium (SIEDS)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Remote patient monitoring for improving outpatient care of patients at risk for sepsis\",\"authors\":\"Tien Bui, Marisa Grayson, Katie Hofer, Kyle McGuire, Michael Morrow, Noah Rodammer, Amani Farooque, L. Barnes, S. Patek\",\"doi\":\"10.1109/SIEDS.2016.7489286\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work seeks to design and develop a remote monitoring platform for tracking indicators of sepsis with the goal of reducing hospital readmissions and mortality rates, and ultimately improving outpatient quality of care. Medicare reports spending $17.8 billion per year on avoidable readmissions, a leading cause of which is sepsis. Insufficient knowledge and improper training for postoperative care of discharged patients further enhances the importance of sepsis monitoring at home. Common indicators of sepsis include infection, elevated heart rate, elevated breathing rate, blood pressure, and fever. While these criteria can be easily tracked within the hospital, there exists no straightforward extension to the home setting because of the confounding effect of physical activity. Some of the challenges associated with remote monitoring for sepsis in discharged patients include the lower sensory quality of mobile biometric devices, the need to recognize activity in non-stationary patients, and the need to individualize the baseline criteria. In order to broaden the criteria to outpatients, this research considers the challenges of collecting and analyzing patient biometrics remotely using commercially available technology. As a result, we present a remote monitoring solution for early detection of sepsis in the outpatient setting.\",\"PeriodicalId\":426864,\"journal\":{\"name\":\"2016 IEEE Systems and Information Engineering Design Symposium (SIEDS)\",\"volume\":\"103 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-04-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE Systems and Information Engineering Design Symposium (SIEDS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIEDS.2016.7489286\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Systems and Information Engineering Design Symposium (SIEDS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIEDS.2016.7489286","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

摘要

本研究旨在设计和开发一个脓毒症的远程监测平台,用于跟踪脓毒症的指标,以减少医院再入院率和死亡率,最终提高门诊护理质量。医疗保险报告每年花费178亿美元用于可避免的再入院,其中主要原因是败血症。出院患者术后护理知识不足、培训不当,进一步增强了家庭脓毒症监测的重要性。脓毒症的常见指标包括感染、心率升高、呼吸频率升高、血压和发烧。虽然这些标准可以很容易地在医院内追踪,但由于身体活动的混淆效应,没有直接延伸到家庭环境。与出院患者脓毒症远程监测相关的一些挑战包括移动生物识别设备的感官质量较低,需要识别非静止患者的活动,以及需要个性化基线标准。为了将标准扩大到门诊患者,本研究考虑了使用商用技术远程收集和分析患者生物特征的挑战。因此,我们提出了一个远程监测解决方案,早期发现败血症在门诊设置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Remote patient monitoring for improving outpatient care of patients at risk for sepsis
This work seeks to design and develop a remote monitoring platform for tracking indicators of sepsis with the goal of reducing hospital readmissions and mortality rates, and ultimately improving outpatient quality of care. Medicare reports spending $17.8 billion per year on avoidable readmissions, a leading cause of which is sepsis. Insufficient knowledge and improper training for postoperative care of discharged patients further enhances the importance of sepsis monitoring at home. Common indicators of sepsis include infection, elevated heart rate, elevated breathing rate, blood pressure, and fever. While these criteria can be easily tracked within the hospital, there exists no straightforward extension to the home setting because of the confounding effect of physical activity. Some of the challenges associated with remote monitoring for sepsis in discharged patients include the lower sensory quality of mobile biometric devices, the need to recognize activity in non-stationary patients, and the need to individualize the baseline criteria. In order to broaden the criteria to outpatients, this research considers the challenges of collecting and analyzing patient biometrics remotely using commercially available technology. As a result, we present a remote monitoring solution for early detection of sepsis in the outpatient setting.
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
×
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:604180095
Book学术官方微信