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Pervasive Computing Technologies for Healthcare. 15th EAI International Conference, Pervasive Health 2021, Virtual Event, December 6-8, 2021, Proceedings

Research Article

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

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  • @INPROCEEDINGS{10.1007/978-3-030-99194-4_9,
        author={Sachiko Matsumoto and Sanika Moharana and Nimisha Devanagondi and Leslie C. Oyama and Laurel D. Riek},
        title={Iris: A Low-Cost Telemedicine Robot to Support Healthcare Safety and Equity During a Pandemic},
        proceedings={Pervasive Computing Technologies for Healthcare. 15th EAI International Conference, Pervasive Health 2021, Virtual Event, December 6-8, 2021, Proceedings},
        proceedings_a={PERVASIVEHEALTH},
        year={2022},
        month={3},
        keywords={Healthcare Robotics Telemedicine Healthcare management Human robot interaction Emergency medicine},
        doi={10.1007/978-3-030-99194-4_9}
    }
    
  • Sachiko Matsumoto
    Sanika Moharana
    Nimisha Devanagondi
    Leslie C. Oyama
    Laurel D. Riek
    Year: 2022
    Iris: A Low-Cost Telemedicine Robot to Support Healthcare Safety and Equity During a Pandemic
    PERVASIVEHEALTH
    Springer
    DOI: 10.1007/978-3-030-99194-4_9
Sachiko Matsumoto1,*, Sanika Moharana1, Nimisha Devanagondi1, Leslie C. Oyama2, Laurel D. Riek1
  • 1: Computer Science and Engineering
  • 2: Emergency Medicine
*Contact email: smatsumo@eng.ucsd.edu

Abstract

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.

Keywords
Healthcare Robotics Telemedicine Healthcare management Human robot interaction Emergency medicine
Published
2022-03-23
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-99194-4_9
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