Mobile Decision Support Tool for Emergency Departments and Mass Casualty Incidents (EDIT): Initial Study.
Mobile Decision Support Tool for Emergency Departments and Mass Casualty Incidents (EDIT): Initial Study.
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DOI：
10.2196/10727
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发表时间：
2018-06-22
影响因子：
5
通讯作者：
Valafar H
中科院分区：
文献类型：
--
作者：
Boltin N;Valdes D;Culley JM;Valafar H
化学品暴露对生命构成重大威胁。需要急救人员和急救护士进行快速评估，以减少死亡和残疾。目前，没有信息学工具来有效地处理化学品接触的受害者。在大规模伤亡事件期间，大量患者涌入医院急诊科，给已经不堪重负的系统带来了额外的压力，可能使患者处于危险之中，并挑战工作人员处理患者以获得适当的护理和治疗效果。传统的急诊科分诊模型在高度紧张的大规模伤亡事件场景中被过度简化，其中几乎没有错误的余地。新兴的移动的技术可以减轻护士的负担，允许他们在急诊室自由移动，并与决策支持系统保持联系。本研究的目的是提出和评估一种新的移动的工具，以协助急诊科人员在病人的管理和分诊在化学大规模伤亡事件。超过500名志愿护士，学生和第一反应者被招募参加一项涉及模拟化学大规模伤亡事件的研究。在演习期间，使用移动的应用程序通过信息亭系统收集患者数据。护士们还收到了平板电脑，在那里他们可以查看病人的信息，并从决策支持系统中选择建议。对收集的数据进行分析，以了解应用程序获取患者数据的效率以及护士与决策支持系统的一致性。在296名参与者中，96.3%（288/296）的患者完成了kiosk系统，平均时间为3分22秒。完成整个分诊过程的平均时间为5分34秒。数据分析还显示，护士对该应用程序的决策支持系统有很强的一致性。总体而言，护士同意系统91.6%（262/286）的时间，当它来选择一个暴露水平和84.3%（241/286）的时间，当选择一个行动。该应用程序可靠地证明了通过自助服务亭系统收集患者数据的能力，从而减轻了医院资源的负担。此外，移动的技术允许护士自由地在旅途中对病人进行分类，同时保持与决策支持系统的连接，他们认为该系统将提供可靠的建议。
Chemical exposures pose a significant threat to life. A rapid assessment by first responders and emergency nurses is required to reduce death and disability. Currently, no informatics tools exist to process victims of chemical exposures efficiently. The surge of patients into a hospital emergency department during a mass casualty incident creates additional stress on an already overburdened system, potentially placing patients at risk and challenging staff to process patients for appropriate care and treatment efficacy. Traditional emergency department triage models are oversimplified during highly stressed mass casualty incident scenarios in which there is little margin for error. Emerging mobile technology could alleviate the burden placed on nurses by allowing the freedom to move about the emergency department and stay connected to a decision support system. This study aims to present and evaluate a new mobile tool for assisting emergency department personnel in patient management and triage during a chemical mass casualty incident. Over 500 volunteer nurses, students, and first responders were recruited for a study involving a simulated chemical mass casualty incident. During the exercise, a mobile application was used to collect patient data through a kiosk system. Nurses also received tablets where they could review patient information and choose recommendations from a decision support system. Data collected was analyzed on the efficiency of the app to obtain patient data and on nurse agreement with the decision support system. Of the 296 participants, 96.3% (288/296) of the patients completed the kiosk system with an average time of 3 minutes, 22 seconds. Average time to complete the entire triage process was 5 minutes, 34 seconds. Analysis of the data also showed strong agreement among nurses regarding the app’s decision support system. Overall, nurses agreed with the system 91.6% (262/286) of the time when it came to choose an exposure level and 84.3% (241/286) of the time when selecting an action. The app reliably demonstrated the ability to collect patient data through a self-service kiosk system thus reducing the burden on hospital resources. Also, the mobile technology allowed nurses the freedom to triage patients on the go while staying connected to a decision support system in which they felt would give reliable recommendations.
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影响因子：
--
作者：
Culley, Joan M;Svendsen, Erik
通讯作者：
Svendsen, Erik
影响因子：
158.5
作者：
WEED, LL
通讯作者：
WEED, LL
影响因子：
4.4
作者：
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通讯作者：
Yazhari, R
影响因子：
1.7
作者：
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通讯作者：
DiNardi S
影响因子：
4.4
作者：
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通讯作者：
Khare, Rahul K.