重症监护病房患者监护的改进卡塔尔世界杯8强波胆分析调查研究%A Poncette,Akira-Sebastian %A moch,Lina %A Spies,Claudia %A Schmieding,Malte %A Schiefenhövel,Fridtjof %A Krampe,Henning %A Balzer,Felix %+柏林慈善医院麻醉科和特重护理医学系- Universitätsmedizin, Freie Universität Berlin, Humboldt-Universität zu Berlin的法人会员，柏林慈善医院1号，柏林，49 30 450 651166，felix.balzer@charite.de %K数字健康%K患者监测%K监护%K重症监护医学%K重症监护病房%K技术创新%K以用户为中心%K可用性%K在线调查%K跨学科%K REDCap %K电子邮件%D 2020 %7 19.6.2020 %9原创论文%J J Med Internet Res %G English %X背景:由于人口结构的变化，以及最近的冠状病毒疾病(COVID-19)，现代重症监护病房(ICU)的重要性日益明显。ICU的关键组成部分之一是持续监测患者的重要参数。然而，可以减轻icu负担的信息学、信号处理或工程方面的现有进展尚未得到应用。这可能是由于缺乏用户参与研究和发展。目的:本研究的重点是ICU工作人员对当前患者监护的满意度以及他们对未来改进的建议。我们的目的是确定监测中断患者护理的方面，远程监测的显示设备，人工智能(AI)的用例，以及ICU工作人员是否愿意提高他们的数字素养或为改善患者监测做出贡献。我们进一步旨在确定不同专业群体的反应差异。方法:本调查研究于2019年11月至2020年1月对德国某大学医院4个ICU的ICU工作人员进行。 We developed a web-based 36-item survey questionnaire, by analyzing a preceding qualitative interview study with ICU staff, about the clinical requirements of future patient monitoring. Statistical analyses of questionnaire results included median values with their bootstrapped 95% confidence intervals, and chi-square tests to compare the distributions of item responses of the professional groups. Results: In total, 86 of the 270 ICU physicians and nurses completed the survey questionnaire. The majority stated they felt confident using the patient monitoring equipment, but that high rates of false-positive alarms and the many sensor cables interrupted patient care. Regarding future improvements, respondents asked for wireless sensors, a reduction in the number of false-positive alarms, and hospital standard operating procedures for alarm management. Responses to the display devices proposed for remote patient monitoring were divided. Most respondents indicated it would be useful for earlier alerting or when they were responsible for multiple wards. AI for ICUs would be useful for early detection of complications and an increased risk of mortality; in addition, the AI could propose guidelines for therapy and diagnostics. Transparency, interoperability, usability, and staff training were essential to promote the use of AI. The majority wanted to learn more about new technologies for the ICU and required more time for learning. Physicians had fewer reservations than nurses about AI-based intelligent alarm management and using mobile phones for remote monitoring. Conclusions: This survey study of ICU staff revealed key improvements for patient monitoring in intensive care medicine. Hospital providers and medical device manufacturers should focus on reducing false alarms, implementing hospital alarm standard operating procedures, introducing wireless sensors, preparing for the use of AI, and enhancing the digital literacy of ICU staff. Our results may contribute to the user-centered transfer of digital technologies into practice to alleviate challenges in intensive care medicine. Trial Registration: ClinicalTrials.gov NCT03514173; https://clinicaltrials.gov/ct2/show/NCT03514173 %M 32459655 %R 10.2196/19091 %U //www.mybigtv.com/2020/6/e19091/ %U https://doi.org/10.2196/19091 %U http://www.ncbi.nlm.nih.gov/pubmed/32459655