Robotics in Simulated COVID-19 Patient Room for Health Care Worker Effector Tasks: Preliminary, Feasibility Experimentsa
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, wh...
| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2021-02-01
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| Series: | Mayo Clinic Proceedings: Innovations, Quality & Outcomes |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2542454820302599 |
| _version_ | 1819146768521101312 |
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| author | W. David Freeman, MD Devang K. Sanghavi, MBBS, MD Masood S. Sarab, BSN, PhD, RN Mary S. Kindred, RN, CCRN Elizabeth M. Dieck, RN Suzanne M. Brown, RN Tom Szambelan Justin Doty Brendan Ball Heidi M. Felix, MPAS, PA-C Jesse C. Dove Jorge M. Mallea, MD Christy Soares Leslie V. Simon, DO |
| author_facet | W. David Freeman, MD Devang K. Sanghavi, MBBS, MD Masood S. Sarab, BSN, PhD, RN Mary S. Kindred, RN, CCRN Elizabeth M. Dieck, RN Suzanne M. Brown, RN Tom Szambelan Justin Doty Brendan Ball Heidi M. Felix, MPAS, PA-C Jesse C. Dove Jorge M. Mallea, MD Christy Soares Leslie V. Simon, DO |
| author_sort | W. David Freeman, MD |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-22T13:19:10Z |
| format | Article |
| id | doaj.art-6f38d697298b45968b8ac4f595df1781 |
| institution | Directory Open Access Journal |
| issn | 2542-4548 |
| language | English |
| last_indexed | 2024-12-22T13:19:10Z |
| publishDate | 2021-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Mayo Clinic Proceedings: Innovations, Quality & Outcomes |
| spelling | doaj.art-6f38d697298b45968b8ac4f595df17812022-12-21T18:24:30ZengElsevierMayo Clinic Proceedings: Innovations, Quality & Outcomes2542-45482021-02-0151161170Robotics in Simulated COVID-19 Patient Room for Health Care Worker Effector Tasks: Preliminary, Feasibility ExperimentsaW. David Freeman, MD0Devang K. Sanghavi, MBBS, MD1Masood S. Sarab, BSN, PhD, RN2Mary S. Kindred, RN, CCRN3Elizabeth M. Dieck, RN4Suzanne M. Brown, RN5Tom Szambelan6Justin Doty7Brendan Ball8Heidi M. Felix, MPAS, PA-C9Jesse C. Dove10Jorge M. Mallea, MD11Christy Soares12Leslie V. Simon, DO13Department of Critical Care Medicine, Mayo Clinic, Jacksonville, FL; Correspondence: Address to W. David Freeman, MD, Department of Critical Care Medicine, Mayo Clinic, 4500 San Pablo Rd, Jacksonville, FL 32224.Department of Critical Care Medicine, Mayo Clinic, Jacksonville, FLDepartment of Nursing, Mayo Clinic, Jacksonville, FLDepartment of Nursing, Mayo Clinic, Jacksonville, FLDepartment of Nursing, Mayo Clinic, Jacksonville, FLDepartment of Nursing, Mayo Clinic, Jacksonville, FLCobot Team LLC, Portland, ORCobot Team LLC, Portland, ORCobot Team LLC, Portland, ORHospital Internal Medicine, Mayo Clinic, Jacksonville, FLMedical Simulation Center, Mayo Clinic, Jacksonville, FLDivision of Pulmonary, Allergy and Sleep Medicine, Mayo Clinic, Jacksonville, FLFlorida State University College of Medicine, TallahasseeDepartment of Emergency Medicine, Mayo Clinic, Jacksonville, FLThe 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.http://www.sciencedirect.com/science/article/pii/S2542454820302599 |
| spellingShingle | W. David Freeman, MD Devang K. Sanghavi, MBBS, MD Masood S. Sarab, BSN, PhD, RN Mary S. Kindred, RN, CCRN Elizabeth M. Dieck, RN Suzanne M. Brown, RN Tom Szambelan Justin Doty Brendan Ball Heidi M. Felix, MPAS, PA-C Jesse C. Dove Jorge M. Mallea, MD Christy Soares Leslie V. Simon, DO Robotics in Simulated COVID-19 Patient Room for Health Care Worker Effector Tasks: Preliminary, Feasibility Experimentsa Mayo Clinic Proceedings: Innovations, Quality & Outcomes |
| title | Robotics in Simulated COVID-19 Patient Room for Health Care Worker Effector Tasks: Preliminary, Feasibility Experimentsa |
| title_full | Robotics in Simulated COVID-19 Patient Room for Health Care Worker Effector Tasks: Preliminary, Feasibility Experimentsa |
| title_fullStr | Robotics in Simulated COVID-19 Patient Room for Health Care Worker Effector Tasks: Preliminary, Feasibility Experimentsa |
| title_full_unstemmed | Robotics in Simulated COVID-19 Patient Room for Health Care Worker Effector Tasks: Preliminary, Feasibility Experimentsa |
| title_short | Robotics in Simulated COVID-19 Patient Room for Health Care Worker Effector Tasks: Preliminary, Feasibility Experimentsa |
| title_sort | robotics in simulated covid 19 patient room for health care worker effector tasks preliminary feasibility experimentsa |
| url | http://www.sciencedirect.com/science/article/pii/S2542454820302599 |
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