Robotics in Simulated COVID-19 Patient Room for Health Care Worker Effector Tasks: Preliminary, Feasibility Experiments

Autor: Jorge M. Mallea, Elizabeth M. Dieck, Masood S. Sarab, Justin Doty, Brendan Ball, Suzanne M. Brown, Devang Sanghavi, Jesse C. Dove, Christy Soares, Mary S. Kindred, Leslie V. Simon, W. David Freeman, Tom Szambelan, Heidi M. Felix
Rok vydání: 2021
Předmět:
Zdroj: Mayo Clinic Proceedings: Innovations, Quality & Outcomes
Mayo Clinic Proceedings: Innovations, Quality & Outcomes, Vol 5, Iss 1, Pp 161-170 (2021)
ISSN: 2542-4548
DOI: 10.1016/j.mayocpiqo.2020.12.005
Popis: The coronavirus disease 2019 (COVID-19) pandemic has strained health care systems and personal protective equipment (PPE) supplies globally. We hypothesized that a collaborative robot system could perform health care worker effector tasks inside a simulated intensive care unit (ICU) patient room, which could theoretically reduce both PPE use and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) exposures. We planned a prospective proof-of-concept feasibility and design pilot study to test 5 discrete medical tasks in a simulated ICU room of a COVID-19 patient using a collaborative robot: push a button on intravenous pole machine when alert occurs for downstream occlusion, adjust ventilator knob, push button on ICU monitor to silence false alerts, increase oxygen flow on wall-mounted flow meter to allow the patient to walk to the bathroom and back (dial-up and dial-down oxygen flow), and push wall-mounted nurse call button. Feasibility was defined as task completion robotically. A training period of 45 minutes to 1 hour was needed to program the system de novo for each task. In less than 30 days, the team completed 5 simple effector task experiments robotically. Selected collaborative robotic effector tasks appear feasible in a simulated ICU room of the COVID-19 patient. Theoretically, this robotic approach could reduce PPE use and staff SARS-CoV-2 exposure. It requires future validation and health care worker learning similar to other ICU device training.
Databáze: OpenAIRE