Delivering Portable Chest Radiography Through Glass (TG-CXR) Reduces COVID-19 Infection Risk in Hospitals
|
By HospiMedica International staff writers Posted on 20 Apr 2021 |

Illustration
A study to understand the cost and benefit of adopting portable chest radiography through glass (TG-CXR) at a tertiary care centre during the COVID-19 pandemic has found the novel technique to be particularly beneficial.
A team of two technologists at the Department of Radiology, St. Michael's Hospital, University of Toronto (Toronto, ON, Canada) were trained on the TG-CXR method which has the benefit of allowing one technologist to stay outside of the patient room while operating the portable radiography machine, thus reducing PPE use, decreasing the frequency of radiography machine sanitization and reducing their exposure to potentially infectious patients.
The cost of implementing the technique during the current COVID-19 pandemic was obtained from the department's operational database. The direct cost of routinely used PPE and sanitization materials and the cost of the time taken by the technologists to clean the machine was used to form a quantitative picture of the benefit associated with TG-CXR technique.
The technologists were trained on the TG-CXR method during a 15 minute shift change briefing. This translated to a one-time cost of USD 424.88. There was an average reduction of portable radiography machine downtime of four minutes and 48 seconds per study. The benefit of adopting the TG-CXR technique was USD 9.87 per patient imaged, resulting in a projected net cost savings of USD 51,451.84 per annum. Thus, the study concluded that adoption of the TG-CXR technique during the COVID-19 pandemic involves a minimal one-time cost, but can result in a significant benefit over the year.
"We hope that our findings would encourage policy-makers to implement TG-CXR technique at their institutions when and where possible," the study concluded.
Related Links:
University of Toronto
A team of two technologists at the Department of Radiology, St. Michael's Hospital, University of Toronto (Toronto, ON, Canada) were trained on the TG-CXR method which has the benefit of allowing one technologist to stay outside of the patient room while operating the portable radiography machine, thus reducing PPE use, decreasing the frequency of radiography machine sanitization and reducing their exposure to potentially infectious patients.
The cost of implementing the technique during the current COVID-19 pandemic was obtained from the department's operational database. The direct cost of routinely used PPE and sanitization materials and the cost of the time taken by the technologists to clean the machine was used to form a quantitative picture of the benefit associated with TG-CXR technique.
The technologists were trained on the TG-CXR method during a 15 minute shift change briefing. This translated to a one-time cost of USD 424.88. There was an average reduction of portable radiography machine downtime of four minutes and 48 seconds per study. The benefit of adopting the TG-CXR technique was USD 9.87 per patient imaged, resulting in a projected net cost savings of USD 51,451.84 per annum. Thus, the study concluded that adoption of the TG-CXR technique during the COVID-19 pandemic involves a minimal one-time cost, but can result in a significant benefit over the year.
"We hope that our findings would encourage policy-makers to implement TG-CXR technique at their institutions when and where possible," the study concluded.
Related Links:
University of Toronto
Latest COVID-19 News
- Low-Cost System Detects SARS-CoV-2 Virus in Hospital Air Using High-Tech Bubbles
- World's First Inhalable COVID-19 Vaccine Approved in China
- COVID-19 Vaccine Patch Fights SARS-CoV-2 Variants Better than Needles
- Blood Viscosity Testing Can Predict Risk of Death in Hospitalized COVID-19 Patients
- ‘Covid Computer’ Uses AI to Detect COVID-19 from Chest CT Scans
- MRI Lung-Imaging Technique Shows Cause of Long-COVID Symptoms
- Chest CT Scans of COVID-19 Patients Could Help Distinguish Between SARS-CoV-2 Variants
- Specialized MRI Detects Lung Abnormalities in Non-Hospitalized Long COVID Patients
- AI Algorithm Identifies Hospitalized Patients at Highest Risk of Dying From COVID-19
- Sweat Sensor Detects Key Biomarkers That Provide Early Warning of COVID-19 and Flu
- Study Assesses Impact of COVID-19 on Ventilation/Perfusion Scintigraphy
- CT Imaging Study Finds Vaccination Reduces Risk of COVID-19 Associated Pulmonary Embolism
- Third Day in Hospital a ‘Tipping Point’ in Severity of COVID-19 Pneumonia
- Longer Interval Between COVID-19 Vaccines Generates Up to Nine Times as Many Antibodies
- AI Model for Monitoring COVID-19 Predicts Mortality Within First 30 Days of Admission
- AI Predicts COVID Prognosis at Near-Expert Level Based Off CT Scans
Channels
Artificial Intelligence
view channel
AI Improves Bronchoscopic Navigation to Difficult-to-Reach Lung Lesions
Lung cancer is a leading cause of cancer mortality, and early detection improves survival. Reaching small, peripheral lung tumors for biopsy remains difficult because bronchoscopic navigation depends on... Read moreCollaborative AI System Improves Medical Diagnostic Accuracy
Hospitals face a persistent trade-off when deploying artificial intelligence for diagnosis. Broad “generalist” models handle many tasks but often lack disease-specific precision. Narrow “specialist” models... Read moreCritical Care
view channel
Adaptive Pulse Oximeter Improves Oxygen Measurement Across Skin Tones
Standard pulse oximeters can misread blood oxygen saturation in people with darker skin because melanin affects how light is absorbed and reflected. This can contribute to occult hypoxemia, in which dangerously... Read more
Wearable Sweat Test Simplifies Cystic Fibrosis Diagnosis
Cystic fibrosis is a genetic disease that disrupts digestion and breathing. Diagnosis depends on sweat chloride testing that is typically limited to accredited centers and specialized laboratories.... Read moreSurgical Techniques
view channel
New Light-Activated Platform Advances Glioblastoma Surgery and Postoperative Treatment
Glioblastoma, an aggressive primary brain tumor, infiltrates healthy tissue and resists complete surgical removal. Residual microscopic disease and the blood–brain barrier limit the effectiveness of adjuvant... Read more
Dual-Energy Mapping and Ablation Catheter Receives CE Mark for Ventricular Arrhythmias
Ventricular arrhythmias, including ventricular tachycardia and premature ventricular complexes, can be life-threatening and often occur in patients with advanced heart disease. Although catheter ablation... Read morePatient Care
view channel
AI Avatar Doctor Improves Patient Understanding Before Radiotherapy
Radiation oncology consultations require patients to grasp complex concepts quickly, yet anxiety and information overload often undermine understanding and informed consent. Poor comprehension can also... Read more
Wearable Sleep Data Predict Adherence to Pulmonary Rehabilitation
Chronic obstructive pulmonary disease (COPD) is a long-term lung disorder that makes breathing difficult and often disturbs sleep, reducing energy for daily activities. Limited engagement in pulmonary... Read moreHealth IT
view channel
Digital Symptom Monitoring Supports More Personalized Breast Cancer Care
Metastatic breast cancer, in which tumors spread to other organs, is incurable but increasingly managed with modern systemic therapies. As more treatments shift from hospital infusions to oral or at-home... Read more
Short Digital Training Program Improves Motor Function in Parkinson’s Disease
Parkinson's disease causes motor symptoms that interfere with movement and daily activities. Drug treatment is standard care, yet additional approaches are needed to target motor control.... Read morePoint of Care
view channelRapid Onsite Testing Reduces Emergency Department Transfers in Long-Term Care
Respiratory infections in long-term care residents frequently trigger emergency department transfers that strain hospital capacity and expose frail patients to additional risks. Turnaround delays from... Read more
New Brain Ultrasound Platform Enables Bedside Postoperative Imaging
Transporting postoperative patients for CT or MRI can create operational burdens, delays, and disruptions in care. Bedside visualization may help reduce transport demands, lower radiation exposure, and... Read moreBusiness
view channel
AI Software Combines Nodule Detection and Diagnosis for Lung Cancer Screening
Lung cancer remains the leading cause of cancer mortality, and screening programs rely on computed tomography to identify disease earlier when curative treatment is more likely. High patient volumes and... Read more








