Use of Mobile Technologies to Streamline Pretriage Patient Flow in the Emergency Department: Observational Usability Study.

IF 5.4 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES JMIR mHealth and uHealth Pub Date : 2024-06-07 DOI:10.2196/54642
Panzhang Wang, Lei Yu, Tao Li, Liang Zhou, Xin Ma
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Abstract

Background: In emergency departments (EDs), triage nurses are under tremendous daily pressure to rapidly assess the acuity level of patients and log the collected information into computers. With self-service technologies, patients could complete data entry on their own, allowing nurses to focus on higher-order tasks. Kiosks are a popular working example of such self-service technologies; however, placing a sufficient number of unwieldy and fixed machines demands a spatial change in the greeting area and affects pretriage flow. Mobile technologies could offer a solution to these issues.

Objective: The aim of this study was to investigate the use of mobile technologies to improve pretriage flow in EDs.

Methods: The proposed stack of mobile technologies includes patient-carried smartphones and QR technology. The web address of the self-registration app is encoded into a QR code, which was posted directly outside the walk-in entrance to be seen by every ambulatory arrival. Registration is initiated immediately after patients or their proxies scan the code using their smartphones. Patients could complete data entry at any site on the way to the triage area. Upon completion, the result is saved locally on smartphones. At the triage area, the result is automatically decoded by a portable code reader and then loaded into the triage computer. This system was implemented in three busy metropolitan EDs in Shanghai, China. Both kiosks and smartphones were evaluated randomly while being used to direct pretriage patient flow. Data were collected during a 20-day period in each center. Timeliness and usability of medical students simulating ED arrivals were assessed with the After-Scenario Questionnaire. Usability was assessed by triage nurses with the Net Promoter Score (NPS). Observations made during system implementation were subject to qualitative thematic analysis.

Results: Overall, 5928 of 8575 patients performed self-registration on kiosks, and 7330 of 8532 patients checked in on their smartphones. Referring effort was significantly reduced (43.7% vs 8.8%; P<.001) and mean pretriage waiting times were significantly reduced (4.4, SD 1.7 vs 2.9, SD 1.0 minutes; P<.001) with the use of smartphones compared to kiosks. There was a significant difference in mean usability scores for "ease of task completion" (4.4, SD 1.5 vs 6.7, SD 0.7; P<.001), "satisfaction with completion time" (4.5, SD 1.4 vs 6.8, SD 0.6; P<.001), and "satisfaction with support" (4.9, SD 1.9 vs 6.6, SD 1.2; P<.001). Triage nurses provided a higher NPS after implementation of mobile self-registration compared to the use of kiosks (13.3% vs 93.3%; P<.001). A modified queueing model was identified and qualitative findings were grouped by sequential steps.

Conclusions: This study suggests patient-carried smartphones as a useful tool for ED self-registration. With increased usability and a tailored queueing model, the proposed system is expected to minimize pretriage waiting for patients in the ED.

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使用移动技术简化急诊科预诊患者流程:可用性观察研究。
背景:在急诊科(ED),分诊护士每天都面临着巨大的压力,需要快速评估病人的严重程度,并将收集到的信息录入电脑。有了自助服务技术,病人可以自行完成数据录入,这样护士就可以专注于更高阶的任务。自助服务终端是此类自助服务技术的常用工作范例;然而,放置足够数量的笨重而固定的机器需要改变问候区的空间,并影响分诊流程。移动技术可以解决这些问题:本研究旨在探讨如何利用移动技术改善急诊室的预分诊流程:方法:所建议的移动技术堆栈包括患者携带的智能手机和 QR 技术。自助登记应用程序的网址被编码成一个二维码,直接张贴在门诊入口处,让每一位前来就诊的患者都能看到。患者或其代理人使用智能手机扫描二维码后,注册立即启动。患者可以在前往分诊区的途中在任何地点完成数据输入。完成后,结果会保存在智能手机本地。在分诊区,结果由便携式读码器自动解码,然后载入分诊电脑。该系统在中国上海三家繁忙的大都市急诊室实施。在使用信息亭和智能手机引导预分诊病人流时,对两者进行了随机评估。数据在每个中心收集了 20 天。医学生模拟急诊室到达的及时性和可用性通过事后情景问卷进行了评估。分诊护士使用净推荐值 (NPS) 对可用性进行评估。对系统实施过程中的观察结果进行了定性专题分析:总体而言,8575 名患者中有 5928 人在自助服务机上进行了自助登记,8532 名患者中有 7330 人在智能手机上办理了登记手续。转诊工作量明显减少(43.7% 对 8.8%;个人电脑):这项研究表明,患者携带的智能手机是急诊室自助登记的有用工具。随着可用性的提高和排队模式的改进,该系统有望最大限度地减少急诊室患者的排队等候时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
JMIR mHealth and uHealth
JMIR mHealth and uHealth Medicine-Health Informatics
CiteScore
12.60
自引率
4.00%
发文量
159
审稿时长
10 weeks
期刊介绍: JMIR mHealth and uHealth (JMU, ISSN 2291-5222) is a spin-off journal of JMIR, the leading eHealth journal (Impact Factor 2016: 5.175). JMIR mHealth and uHealth is indexed in PubMed, PubMed Central, and Science Citation Index Expanded (SCIE), and in June 2017 received a stunning inaugural Impact Factor of 4.636. The journal focusses on health and biomedical applications in mobile and tablet computing, pervasive and ubiquitous computing, wearable computing and domotics. JMIR mHealth and uHealth publishes since 2013 and was the first mhealth journal in Pubmed. It publishes even faster and has a broader scope with including papers which are more technical or more formative/developmental than what would be published in the Journal of Medical Internet Research.
期刊最新文献
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