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Acceptability of Telehealth Triage Using Robotic Systems in COVID-19

Acceptability of Telehealth Triage Using Robotic Systems in COVID-19

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04452695
Enrollment
40
Registered
2020-06-30
Start date
2020-03-10
Completion date
2020-08-10
Last updated
2022-09-21

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

COVID-19, Emergencies, Emerging Infectious Disease, Robotics, Telemedicine

Brief summary

The overall objective of this investigation is to understand the patient response to a robotic platform used to facilitate telehealth triage in the emergency department during the COVID-19 pandemic. The COVID-19 pandemic has altered the manner in which emergency department triage is completed. Attempts at cohorting individuals with potential COVID-19 disease in order to prevent disease transmission to healthcare workers and minimize the use of personal protective equipment (PPE) have renewed interest in telemedical solutions as a method to triage and manage individuals with COVID-19. This investigation deploys a legged robotic platform to facilitate agile, highly mobile telemedicine to manage COVID-19 patients in the emergency department. The primary objective is to measure the patient response to interacting with these systems.

Interventions

DEVICEDoctor Spot

Robotic platform (Boston Dynamics) controlled by clinician with video interface to facilitate telemedicine triage

Sponsors

Brigham and Women's Hospital
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Presenting to the emergency department for evaluation * \> 18 years old

Exclusion criteria

* Brought to emergency department via ambulance * \<18 years old * non-english speaking * in extremis, or unable to participate due to underlying acute medical condition

Design outcomes

Primary

MeasureTime frameDescription
Acceptance of robotic telehealth systemImmediately after completion of triageQuantitative questionnaire on the acceptance of virtual robotic care graded on a likert scale (higher scores better)
Willingness to interact with robotic telehealth systemImmediately after completion of triageQuantitative questionnaire on the willingness to use this system again based on a likert scale (higher scores better)
Satisfaction of interacting with a robotic telehealth systemImmediately after completion of triageQuantitative questionnaire on the user satisfaction with their triage experience (How satisfied were you with your experience interacting with the robotic system today?)

Secondary

MeasureTime frameDescription
Use of robotic system versus in-person triageImmediately after completion of triageQuantitative questionnaire comparing robotic triage process with in-person triage: Do you think your interaction with the robotic system was better, the same or no different than an in-person evaluation?)

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026