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基于调查的对用户在临床情况管理中对飞利浦可视患者化身看法的定性探索。

Survey-based qualitative exploration of user perspectives on the philips visual patient avatar in clinical situation management.

机构信息

Institute of Anaesthesiology, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.

Neurosurgical Intensive Care Unit, Department of Neurosurgery and Institute of Intensive Care Medicine, University Hospital and University of Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.

出版信息

Sci Rep. 2024 Sep 27;14(1):22176. doi: 10.1038/s41598-024-72338-7.

DOI:10.1038/s41598-024-72338-7
PMID:39333568
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11437179/
Abstract

Philips Visual Patient Avatar is an innovative approach to patient monitoring. Computer-based simulation studies have shown that it can improve diagnostic accuracy and confidence while reducing perceived workload. Following its integration into clinical practice, we conducted a single-centre qualitative study at the University Hospital Zurich to explore the views of anaesthesia, post-anaesthesia and intensive care providers on their experience with the technology. We used an online survey to assess its contributions in different clinical situations. We analysed the data thematically to identify key themes. Of the 510 healthcare providers contacted, 131 (25.7%) completed the survey and 154 comments were collected. Key themes included the detection of specific vital sign changes, focusing on temperature and oxygen saturation (41.9%, 34/81 comments in the operating room; 38.6%, 17/44 comments in the intensive care unit; 10.3%, 3/29 comments in the post-anaesthesia care unit). Additionally, the technology was perceived to support daily routines and situational awareness (28.4%, 23/81 comments in the OR; 9.1%, 4/44 comments in the ICU; 10.3%, 3/29 comments in the PACU). The study provides early, but strong evidence that the Philips Visual Patient Avatar assists healthcare providers in specific clinical situations in the perioperative and critical care settings.

摘要

飞利浦可视化患者头像(Philips Visual Patient Avatar)是一种创新的患者监测方法。基于计算机的模拟研究表明,它可以提高诊断准确性和信心,同时降低感知工作负荷。在将其整合到临床实践中后,我们在苏黎世大学医院进行了一项单中心定性研究,以探讨麻醉、麻醉后和重症监护提供者对该技术的体验的看法。我们使用在线调查来评估其在不同临床情况下的贡献。我们对数据进行了主题分析,以确定关键主题。在联系的 510 名医疗保健提供者中,有 131 名(25.7%)完成了调查,共收集了 154 条评论。关键主题包括检测特定生命体征变化,重点关注体温和氧饱和度(41.9%,手术室评论 81 条中有 34 条;38.6%,重症监护室评论 44 条中有 17 条;10.3%,麻醉后护理单元评论 29 条中有 3 条)。此外,该技术被认为支持日常工作流程和情境意识(28.4%,手术室评论 81 条中有 23 条;9.1%,重症监护室评论 44 条中有 4 条;10.3%,麻醉后护理单元评论 29 条中有 3 条)。该研究提供了早期但强有力的证据,表明飞利浦可视化患者头像在围手术期和重症监护环境中的特定临床情况下可以协助医疗保健提供者。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86d8/11437179/56a96e8c2b45/41598_2024_72338_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86d8/11437179/f84b25ccd71e/41598_2024_72338_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86d8/11437179/724e62593224/41598_2024_72338_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86d8/11437179/6213caa6706b/41598_2024_72338_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86d8/11437179/56a96e8c2b45/41598_2024_72338_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86d8/11437179/f84b25ccd71e/41598_2024_72338_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86d8/11437179/724e62593224/41598_2024_72338_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86d8/11437179/6213caa6706b/41598_2024_72338_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86d8/11437179/56a96e8c2b45/41598_2024_72338_Fig4_HTML.jpg

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4
Implementing human factors in anaesthesia: guidance for clinicians, departments and hospitals: Guidelines from the Difficult Airway Society and the Association of Anaesthetists: Guidelines from the Difficult Airway Society and the Association of Anaesthetists.实施麻醉中的人为因素:临床医生、科室和医院指南:困难气道学会和麻醉师协会指南。
Anaesthesia. 2023 Apr;78(4):458-478. doi: 10.1111/anae.15941. Epub 2023 Jan 11.
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