不是一个人在家:利用远程医疗和信息学为 COVID-19 病人家庭护理创建精益模式。

Telemedicine reports Pub Date : 2021-10-28 eCollection Date: 2021-01-01 DOI:10.1089/tmr.2021.0020
Dee Ford, Emily Warr, Cheryl Hamill, Wenjun He, Ekaterina Pekar, Jillian Harvey, Ragan DuBose-Morris, Kimberly McGhee, Kathryn King, Leslie Lenert
{"title":"不是一个人在家:利用远程医疗和信息学为 COVID-19 病人家庭护理创建精益模式。","authors":"Dee Ford, Emily Warr, Cheryl Hamill, Wenjun He, Ekaterina Pekar, Jillian Harvey, Ragan DuBose-Morris, Kimberly McGhee, Kathryn King, Leslie Lenert","doi":"10.1089/tmr.2021.0020","DOIUrl":null,"url":null,"abstract":"<p><p>In response to the emerging COVID-19 public health emergency in March 2020, the Medical University of South Carolina rapidly implemented an analytics-enhanced remote patient monitoring (RPM) program with state-wide reach for SARS-CoV-2-positive patients. Patient-reported data and other analytics were used to prioritize the sickest patients for contact by RPM nurses, enabling a small cadre of RPM nurses, with the support of ambulatory providers and urgent care video visits, to oversee 1234 patients, many of whom were older, from underserved populations, or at high risk of serious complications. Care was escalated based on prespecified criteria to primary care provider or emergency department visit, with 89% of moderate- to high-risk patients treated solely at home. The RPM nurses facilitated the continuity of care during escalation or de-escalation of care, provided much-needed emotional support to patients quarantining at home and helped find medical homes for patients with tenuous ties to health care.</p>","PeriodicalId":22295,"journal":{"name":"Telemedicine reports","volume":" ","pages":"239-246"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8621622/pdf/","citationCount":"0","resultStr":"{\"title\":\"Not Home Alone: Leveraging Telehealth and Informatics to Create a Lean Model for COVID-19 Patient Home Care.\",\"authors\":\"Dee Ford, Emily Warr, Cheryl Hamill, Wenjun He, Ekaterina Pekar, Jillian Harvey, Ragan DuBose-Morris, Kimberly McGhee, Kathryn King, Leslie Lenert\",\"doi\":\"10.1089/tmr.2021.0020\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>In response to the emerging COVID-19 public health emergency in March 2020, the Medical University of South Carolina rapidly implemented an analytics-enhanced remote patient monitoring (RPM) program with state-wide reach for SARS-CoV-2-positive patients. Patient-reported data and other analytics were used to prioritize the sickest patients for contact by RPM nurses, enabling a small cadre of RPM nurses, with the support of ambulatory providers and urgent care video visits, to oversee 1234 patients, many of whom were older, from underserved populations, or at high risk of serious complications. Care was escalated based on prespecified criteria to primary care provider or emergency department visit, with 89% of moderate- to high-risk patients treated solely at home. The RPM nurses facilitated the continuity of care during escalation or de-escalation of care, provided much-needed emotional support to patients quarantining at home and helped find medical homes for patients with tenuous ties to health care.</p>\",\"PeriodicalId\":22295,\"journal\":{\"name\":\"Telemedicine reports\",\"volume\":\" \",\"pages\":\"239-246\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8621622/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Telemedicine reports\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1089/tmr.2021.0020\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2021/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Telemedicine reports","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1089/tmr.2021.0020","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

为应对 2020 年 3 月新出现的 COVID-19 公共卫生突发事件,南卡罗来纳医科大学迅速实施了一项分析增强型远程患者监护 (RPM) 计划,在全州范围内对 SARS-CoV-2 阳性患者进行监护。患者报告的数据和其他分析方法被用来优先安排 RPM 护士接触病情最严重的患者,从而使一小队 RPM 护士在非住院医疗服务提供者和紧急护理视频访问的支持下,能够监护 1234 名患者,其中许多是老年人、服务不足人群或严重并发症高危人群。根据预先规定的标准,将护理升级到初级保健提供者或急诊科就诊,89% 的中高风险患者仅在家中接受治疗。在护理升级或降级过程中,RPM护士促进了护理的连续性,为在家隔离的患者提供了急需的情感支持,并帮助与医疗保健关系不紧密的患者找到了医疗之家。
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

摘要图片

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
Not Home Alone: Leveraging Telehealth and Informatics to Create a Lean Model for COVID-19 Patient Home Care.

In response to the emerging COVID-19 public health emergency in March 2020, the Medical University of South Carolina rapidly implemented an analytics-enhanced remote patient monitoring (RPM) program with state-wide reach for SARS-CoV-2-positive patients. Patient-reported data and other analytics were used to prioritize the sickest patients for contact by RPM nurses, enabling a small cadre of RPM nurses, with the support of ambulatory providers and urgent care video visits, to oversee 1234 patients, many of whom were older, from underserved populations, or at high risk of serious complications. Care was escalated based on prespecified criteria to primary care provider or emergency department visit, with 89% of moderate- to high-risk patients treated solely at home. The RPM nurses facilitated the continuity of care during escalation or de-escalation of care, provided much-needed emotional support to patients quarantining at home and helped find medical homes for patients with tenuous ties to health care.

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
Correction to : “A Prioritized Patient-Centered Research Agenda to Reduce Disparities in Telehealth Uptake:Results from a National Consensus Conference” by Kristin L. Rising et al. Telemed Report 2023;4(1): 387–395; doi: 10.1089/tmr.2023.0051 The Impact of Waiting Times on Behavioral Outcomes for Children with Otitis Media: Results from an Urban Ear, Nose, and Throat Telehealth Service Factors Associated with the Digital Patient Experience of Virtual Care Across Specialties. Telemedicine in Brazil: Teleconsultations at the Largest University Hospital in the Country. Achieving Digital Health Equity by Personalizing the Patient Experience.
×
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