We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us
Sekisui Diagnostics UK Ltd.

Download Mobile App




Robotic System Remotely Operates Ventilators in COVID-19 Wards

By HospiMedica International staff writers
Posted on 25 Aug 2020
Print article
Image: A robotic assistant adjusts ventilator parameters remotely (Photo courtesy of JHU)
Image: A robotic assistant adjusts ventilator parameters remotely (Photo courtesy of JHU)
A new robotic system allows medical staff to remotely operate ventilators and other bedside machines from outside intensive care rooms of patients suffering from infectious diseases.

Developed at Johns Hopkins University (JHU; Baltimore, MD, USA) and Johns Hopkins Medicine (JHM; Baltimore, MD, USA), the robotic device is affixed to the ventilator's touch screen with a horizontal bar that is secured across the top edge. The bar serves as a stationary track for the back-and-forth movement of two connected vertical bars that extend the full height of the screen. As the vertical bars sweep across the screen, a stylus they carry moves up and down according to its commands, similar to how an Etch A Sketch moves its drawing tool along an X-Y axis.

A camera connected to the top bar sends an image of the screen to the operator's tablet outside the room. The system is still being tested, but in initial trials at the Johns Hopkins Hospital biocontainment unit, a tablet was used to remotely change oxygen percentage and volume delivered by a ventilator to a mannequin in an adjoining room. According to the developers, the robotic system can be deployed to help hospitals preserve protective gear, limit staff exposure to COVID-19, and provide more time for clinical work.

“Routine adjustments typically take just a couple minutes inside a room. But putting on and removing gear added an additional six minutes to the process. Doing that 10 times in a single shift steals an entire hour that could have been spent delivering patient care,” said respiratory therapist Jonathan Cope, who assisted with the project. “This remote-control system will be a force multiplier for our frontline clinicians. Being able to save time to deliver more care to more patients will pay huge dividends when we face massive patient surges during pandemicsm.”

The COVID-19 pandemic spurred a surge of highly infectious patients requiring ventilators, infusion pumps, and other equipment. Treating such intensive care patients requires personnel to don and doff personal protective equipment (PPE) every time, even for minor adjustments to machines. The process burns through limited supplies, and also wastes valuable time and personnel as the procedure requires an additional person to assist with the changing of gowns, gloves, masks, and other gear.

Related Links:
Johns Hopkins University
Johns Hopkins Medicine


Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
Gold Member
STI Test
Vivalytic Sexually Transmitted Infection (STI) Array
Silver Member
Compact 14-Day Uninterrupted Holter ECG
NR-314P
New
Electric Bariatric Patient Lifter
SVBL 205

Print article

Channels

Surgical Techniques

view channel
Image: Computational models can predict future structural integrity of a child’s heart valves (Photo courtesy of 123RF)

Computational Models Predict Heart Valve Leakage in Children

Hypoplastic left heart syndrome is a serious birth defect in which the left side of a baby’s heart is underdeveloped and ineffective at pumping blood, forcing the right side to handle the circulation to... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more

Point of Care

view channel
Image: The Quantra Hemostasis System has received US FDA special 510(k) clearance for use with its Quantra QStat Cartridge (Photo courtesy of HemoSonics)

Critical Bleeding Management System to Help Hospitals Further Standardize Viscoelastic Testing

Surgical procedures are often accompanied by significant blood loss and the subsequent high likelihood of the need for allogeneic blood transfusions. These transfusions, while critical, are linked to various... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.