3D Remote Monitoring and Diagnosis during a Pandemic: Holoportation and Digital Twin Requirements

Kabir Ahmed Rufai, Jim Smiley, Patrick Reuter, Chris Bain, Peter Chan, Barrett Ens, Helen Purchase

Research output: Contribution to journalArticleResearchpeer-review

2 Citations (Scopus)

Abstract

COVID-19 regulations presented clinicians with a new set of challenges that affected their ability to efficiently provide patient care and, as a result, telemedicine was rapidly adopted to deliver care remotely. However, these telemedicine platforms undermine patient care due to clinicians' inability to acquire all the relevant patient information required to diagnose and treat the patient. To explore this gap, we conducted a requirements analysis for the development of a 3D remote patient monitoring and diagnosis platform, by using a user-centric design methodology. In this requirements analysis, we elicited information about the clinical domain, identified clinicians' requirements, elicited clinicians' insights, and documented the clinicians' requirements. The outcome was the emergence of refined clinicians' requirements to guide the implementation of the Digital Twin concept paired with holoportation for remote 3D monitoring and diagnosis of patients. We anticipate that the application of a 3D telemedicine platform with these requirements for patient care during a pandemic could potentially enhance clinicians' efficiency and the effectiveness of remote patient care.

Original languageEnglish
Pages (from-to)407-426
Number of pages20
JournalProceedings of the ACM on Human-Computer Interaction
Volume8
Issue numberISS
DOIs
Publication statusPublished - 20 Oct 2024

Keywords

  • Digital Twin
  • Extended Reality
  • Holoportation
  • Infectious Control Guidelines
  • Non-situated Visualization
  • Pandemics
  • Prox-situated Visualization
  • Remote Patient Care

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