已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Increasing Nursing Documentation Efficiency With Wearable Sensors for Pressure Injury Prevention

文档 医学 审计 病历 医疗急救 外科 计算机科学 管理 经济 程序设计语言
作者
Angelia Rose,Annemari Cooley,Tracey L. Yap,Jenny Alderden,Valerie Sabol,Jiunn-Ru Lin,Katie Brooks,Susan M. Kennerly
出处
期刊:Critical Care Nurse [American Association of Critical-Care Nurses]
卷期号:42 (2): 14-22 被引量:6
标识
DOI:10.4037/ccn2022116
摘要

Documentation presents an overwhelming burden to bedside clinical nurses. Nurses must manually enter several hundred data points into electronic health record flow sheets, taking time from direct patient care and introducing opportunity for documentation errors.A patient record audit revealed a significant gap in documented patient repositioning events. This quality improvement initiative evaluated automated repositioning documentation via a wearable sensor system.A pretest-posttest design was used to examine retrospectively collected manual documentation and prospectively collected sensor documentation of patient repositioning events in a 148-bed rural community hospital. Repositioning documentation manually entered into electronic health records during the baseline period (January 1 to February 28, 2018) was compared with automatic, sensor-based repositioning documentation during the implementation period (corresponding months in 2019 and 2020 to eliminate seasonality).A convenience sample of 105 patient records was reviewed. The mean documented patient repositioning interval was 6.6 hours in the baseline period and 2.4 hours in the implementation period. The improvement was most pronounced in patients with obesity, whose mean repositioning interval improved from 9.4 hours to 2.5 hours. Documentation compliance (actual vs expected repositioning documentation) was 31% with manual documentation and 82% with automatic sensor-based documentation.Repositioning was documented more than 2.5 times as frequently with sensor technology as with manual data entry. Body position and reasons for delayed repositioning events were documented more completely with sensor technology. Automated documentation may improve the accuracy of electronic health records and reduce the documentation burden for nurses.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
科研通AI6.2应助老仙翁采纳,获得10
2秒前
情怀应助老仙翁采纳,获得10
2秒前
科研通AI6.4应助老仙翁采纳,获得10
2秒前
科研通AI6.2应助老仙翁采纳,获得10
2秒前
小蘑菇应助老仙翁采纳,获得10
3秒前
完美世界应助zk采纳,获得10
3秒前
情怀应助老仙翁采纳,获得10
3秒前
Hello应助老仙翁采纳,获得10
3秒前
小二郎应助老仙翁采纳,获得30
3秒前
科研通AI6.4应助老仙翁采纳,获得10
4秒前
Trey发布了新的文献求助10
4秒前
科研通AI6.4应助老仙翁采纳,获得10
4秒前
7秒前
奖品肉麻膏耶完成签到 ,获得积分10
8秒前
sw123完成签到 ,获得积分10
8秒前
Jasper应助隐形中道采纳,获得10
9秒前
10秒前
叶子完成签到,获得积分10
11秒前
11秒前
12秒前
小红发布了新的文献求助10
12秒前
13秒前
13秒前
Darcy发布了新的文献求助10
14秒前
14秒前
14秒前
15秒前
米雪发布了新的文献求助10
15秒前
青尘如墨发布了新的文献求助10
15秒前
16秒前
开放香水发布了新的文献求助10
16秒前
19秒前
20秒前
英俊的铭应助科研通管家采纳,获得10
20秒前
pmrameshk_发布了新的文献求助10
20秒前
20秒前
星辰大海应助科研通管家采纳,获得10
20秒前
领导范儿应助科研通管家采纳,获得10
20秒前
汉堡包应助科研通管家采纳,获得10
20秒前
20秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Rosenblum, Global Change Biology 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Physiologic specialization in Peronospora manshurica 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7777686
求助须知:如何正确求助?哪些是违规求助? 9318513
关于积分的说明 20364786
捐赠科研通 7364598
什么是DOI,文献DOI怎么找? 3318998
关于科研通互助平台的介绍 2466636
邀请新用户注册赠送积分活动 2334223