Iris: A Low-Cost Telemedicine Robot to Support Healthcare Safety and Equity During a Pandemic

Iris: A Low-Cost Telemedicine Robot to Support Healthcare Safety and Equity During a Pandemic
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Iris:一种低成本远程医疗机器人,可在大流行期间支持医疗保健安全和公平

DOI:
10.1007/978-3-030-99194-4_9
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发表时间:
2021
期刊:
Proceedings of the 15th Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth
影响因子:
--
通讯作者:
and Riek, L.D.
and Riek, L.D.
中科院分区:
--
文献类型:
--
作者:
Matsumoto, S.;Moharana, S.;Devanagondi, N.;Oyama, L.;and Riek, L.D.

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新冠肺炎疫情加剧了本已不堪重负的医疗生态系统的问题。这场大流行加剧了长期存在的健康差距,增加了一线医护人员的压力和感染风险。远程医疗机器人在改善HCW安全和患者获得高质量护理方面提供了巨大的潜力,然而,对于资源不足的医疗组织来说,大多数系统都昂贵得令人望而却步,而且很难使用。本文介绍了一种低成本、开放硬件/开放软件的远程医疗机器人平台IRIS。我们与一线卫生工作者共同设计了可用的、可访问的、坚固的和处于急诊医学(EM)生态系统中的Iriss。我们测试了15名EM医生,他们报告了高可用性,并提供了详细的反馈,对于将机器人置于一系列EM护理提供环境中至关重要,包括资源不足的环境。基于这些发现,我们为那些对构建和部署类似系统感兴趣的人提供了一系列具体的设计建议。我们希望这将激励在当前和以后的大流行病中的未来工作。
The COVID-19 pandemic exacerbated problems of already overwhelmed healthcare ecosystems. The pandemic worsened long-standing health disparities and increased stress and risk of infection for frontline healthcare workers (HCWs). Telemedical robots offer great potential to both improve HCW safety and patient access to high-quality care, however, most of these systems are prohibitively expensive for under-resourced healthcare organizations, and difficult to use. In this paper, we introduceIris, a low-cost, open hardware/open software telemedical robot platform. We co-designedIriswith front-line HCWs to be usable, accessible, robust, and well-situated within the emergency medicine (EM) ecosystem. We testedIriswith 15 EM physicians, who reported high usability, and provided detailed feedback critical to situating the robot within a range of EM care delivery contexts, including under-resourced ones. Based on these findings, we present a series of concrete design suggestions for those interested in building and deploying similar systems. We hope this will inspire future work both in the current pandemic and beyond.
DOI: 10.1146/annurev-control-042920-093225
发表时间: 2021-09
期刊: Annu. Rev. Control. Robotics Auton. Syst.
影响因子: --
作者:
A. Kubota;L. Riek
通讯作者: A. Kubota;L. Riek
DOI: 10.1001/jama.2020.8598
发表时间: 2020-06-23
影响因子: 120.7
作者:
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DOI: --
发表时间: 2019
期刊: IEEE/ACM International Conference on Human-Robot Interaction
影响因子: --
作者:
Sanika Moharana;Alejandro E. Panduro;Hee Rin Lee;L. Riek
通讯作者: L. Riek