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
Sekisui Diagnostics UK Ltd.

Download Mobile App




Remote Programming of Cardiac Implantable Devices Safe for MRI Scan, Shows Study

By HospiMedica International staff writers
Posted on 05 May 2022

More than 60 million magnetic resonance imaging (MRI) scans are performed worldwide each year, but imaging for the millions of patients with cardiac implantable electronic devices (CIEDs) such as pacemakers is a logistical challenge, because of concerns with how the magnetic field affects the implants. Now, a new study reveals safe and effective reprogramming of these devices is possible, even from a remote location. Remote programming could reduce the need to reschedule MRI scans and other procedures that require device programming in case there is no device representative or other qualified personnel present on-site to perform the task.

Researchers at the University of Missouri School of Medicine (Columbia, MO, USA) conducted an observational study of 209 patients at MU Health Care’s University Hospital who underwent remote programming of their device for MRI using Medtronic RM CareLink technology. Of those scans, 51 were performed urgently. An MRI technician started each session by contacting an off-site operator and placing a programming wand on the patient’s CIED, enabling the programmer to access the device remotely and switch to an MRI-safe mode. After completing the scan, the remote programmer returned the device to the patient’s baseline settings.

“During this study, none of the patients experienced any symptoms during the scan, no one needed any changes to the baseline settings afterward, and there were no technology issues,” said senior author Sandeep Gautam, MD, associate professor of clinical medicine. “The estimated time saved per scan was 18 to 38 minutes per patient, calculated by measuring the device representative's travel time to the MRI suite.”

“We believe this technology will reduce unnecessary use of health care resources and manpower,” added Gautam. “This will eventually lead to reduction in health care costs, as it will require a smaller number of personnel for device programming, eliminate travel cost and may be especially helpful in rural areas where access to health care is limited.”

Related Links:
University of Missouri School of Medicine 

Platinum Member
Real-Time Diagnostics Onscreen Viewer
GEMweb Live
Gold Member
Electrode Solution and Skin Prep
Signaspray
Silver Member
ECG Management System
NEMS Web
Medical Monitor
VITALMAX 4100SL
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to HospiMedica.com and get access to news and events that shape the world of Hospital Medicine.
  • Free digital version edition of HospiMedica International sent by email on regular basis
  • Free print version of HospiMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of HospiMedica International in digital format
  • Free HospiMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Patient Care

view channel
Image: The newly-launched solution can transform operating room scheduling and boost utilization rates (Photo courtesy of Fujitsu)

Surgical Capacity Optimization Solution Helps Hospitals Boost OR Utilization

An innovative solution has the capability to transform surgical capacity utilization by targeting the root cause of surgical block time inefficiencies. Fujitsu Limited’s (Tokyo, Japan) Surgical Capacity... 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 © 2000-2025 Globetech Media. All rights reserved.