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 hp
Sign In
Advertise with Us
ARAB HEALTH - INFORMA

Download Mobile App




Events

27 Jan 2025 - 30 Jan 2025
15 Feb 2025 - 17 Feb 2025

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
Real-Time Diagnostics Onscreen Viewer
GEMweb Live
Gold Member
12-Channel ECG
CM1200B
New
Mobile Barrier
Tilted Mobile Leaded Barrier
New
Hospital Bed
Alphalite

Print article

Channels

Surgical Techniques

view channel
Image: The surgical team and the Edge Multi-Port Endoscopic Surgical Robot MP1000 surgical system (Photo courtesy of Wei Zhang)

Endoscopic Surgical System Enables Remote Robot-Assisted Laparoscopic Hysterectomy

Telemedicine enables patients in remote areas to access consultations and treatments, overcoming challenges related to the uneven distribution and availability of medical resources. However, the execution... 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 acoustic pipette uses sound waves to test for biomarkers in blood (Photo courtesy of Patrick Campbell/CU Boulder)

Handheld, Sound-Based Diagnostic System Delivers Bedside Blood Test Results in An Hour

Patients who go to a doctor for a blood test often have to contend with a needle and syringe, followed by a long wait—sometimes hours or even days—for lab results. Scientists have been working hard to... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.