Mobile Stroke Unit Showcased at the World’s Largest Emergency Physicians Meeting
By HospiMedica International staff writers Posted on 10 Nov 2015 |
Image: The CereTom CT scanner used to diagnose stroke patients in mobile stroke units (Photo courtesy of Business Wire).
A new specialized emergency medical vehicle with a mobile Computed Tomography (CT) stroke unit was unveiled and demonstrated in action at the Scientific Assembly of the American College of Emergency Physicians (ACEP) in Boston (MA, USA) in October 2015.
The Mobile Stroke Unit (MSU) will speed up treatment for patients suffering strokes, and help emergency physicians differentiate between ischemic and hemorrhagic strokes, by providing diagnostic imaging capabilities in the field. Strokes continue to be a leading cause of death in the US. Time is critical in the stroke care cycle, and timely treatment can minimize or even prevent injury to the brain, before a patient reaches the hospital. The first MSU in the US was debuted in 2014 and there are now four active MSU programs in the country.
The MSU was developed by researchers at Stryker (Kalamazoo, MI, USA), Frazer (Houston, TX, USA), and Samsung NeuroLogica (Danvers, MA, USA) and features a built-in CereTom portable 8-slice CT scanner with rapid scan time, and a user-friendly interface. The CereTom interface enables immediate viewing of acquired scans. The CereTom is also intended for use Intensive Care units (ICU) including Neonatal ICUs, in patient rooms, and in hospital emergency department. The goal of the MSU program is to reduce time-to-treatment for stroke patients and shorten the length of hospitalization for stroke patients.
James C. Grotta, MD, director of the consortium of partners for the UTHealth MSU program, said, “It typically takes roughly an hour once a stroke patient arrives in the emergency room to receive treatment. With the mobile stroke unit, we can actually put the emergency room in the ambulance, take the CT scanner to the patient and treat at the scene with the medication, saving that hour. And, that hour could mean saving 120 million brain cells.”
Related Links:
Stryker
Frazer
Samsung NeuroLogica
The Mobile Stroke Unit (MSU) will speed up treatment for patients suffering strokes, and help emergency physicians differentiate between ischemic and hemorrhagic strokes, by providing diagnostic imaging capabilities in the field. Strokes continue to be a leading cause of death in the US. Time is critical in the stroke care cycle, and timely treatment can minimize or even prevent injury to the brain, before a patient reaches the hospital. The first MSU in the US was debuted in 2014 and there are now four active MSU programs in the country.
The MSU was developed by researchers at Stryker (Kalamazoo, MI, USA), Frazer (Houston, TX, USA), and Samsung NeuroLogica (Danvers, MA, USA) and features a built-in CereTom portable 8-slice CT scanner with rapid scan time, and a user-friendly interface. The CereTom interface enables immediate viewing of acquired scans. The CereTom is also intended for use Intensive Care units (ICU) including Neonatal ICUs, in patient rooms, and in hospital emergency department. The goal of the MSU program is to reduce time-to-treatment for stroke patients and shorten the length of hospitalization for stroke patients.
James C. Grotta, MD, director of the consortium of partners for the UTHealth MSU program, said, “It typically takes roughly an hour once a stroke patient arrives in the emergency room to receive treatment. With the mobile stroke unit, we can actually put the emergency room in the ambulance, take the CT scanner to the patient and treat at the scene with the medication, saving that hour. And, that hour could mean saving 120 million brain cells.”
Related Links:
Stryker
Frazer
Samsung NeuroLogica
Latest Critical Care News
- Powerful AI Risk Assessment Tool Predicts Outcomes in Heart Failure Patients
- Peptide-Based Hydrogels Repair Damaged Organs and Tissues On-The-Spot
- One-Hour Endoscopic Procedure Could Eliminate Need for Insulin for Type 2 Diabetes
- AI Can Prioritize Emergency Department Patients Requiring Urgent Treatment
- AI to Improve Diagnosis of Atrial Fibrillation
- Stretchable Microneedles to Help In Accurate Tracking of Abnormalities and Identifying Rapid Treatment
- Machine Learning Tool Identifies Rare, Undiagnosed Immune Disorders from Patient EHRs
- On-Skin Wearable Bioelectronic Device Paves Way for Intelligent Implants
- First-Of-Its-Kind Dissolvable Stent to Improve Outcomes for Patients with Severe PAD
- AI Brain-Age Estimation Technology Uses EEG Scans to Screen for Degenerative Diseases
- Wheeze-Counting Wearable Device Monitors Patient's Breathing In Real Time
- Wearable Multiplex Biosensors Could Revolutionize COPD Management
- New Low-Energy Defibrillation Method Controls Cardiac Arrhythmias
- New Machine Learning Models Help Predict Heart Disease Risk in Women
- Deep-Learning Model Predicts Arrhythmia 30 Minutes before Onset
- Breakthrough Technology Combines Detection and Treatment of Nerve-Related Disorders in Single Procedure