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
Privacy-Preserving AI Protects Sensitive Information in ECG Data
Artificial intelligence applied to electrocardiography can extract more than cardiac rhythm. Algorithms can infer age, sex, race, and even identity from electrocardiogram (ECG) signals, creating privacy... Read more
New AI ECG Tool Detects Early Heart Disease
Heart disease remains a leading cause of premature death, claiming almost 18 million lives each year. Early detection is crucial because timely intervention can change prognosis and conserve resources.... Read moreCritical Care
view channel
FDA-Cleared AI Wearable Monitor Detects Opioid-Related Respiratory Risk in Hospitals
Hospital patients receiving opioid therapy can develop respiratory compromise that is difficult to detect early. Continuous wearable monitoring with pattern-recognition capabilities can help clinicians... Read more
Mitral Valve Repair Device Receives EU Approval for Functional Regurgitation
Mitral regurgitation is among the most prevalent valvular heart diseases, and functional mitral regurgitation (FMR) in patients with heart failure remains challenging to manage. International guidance... Read moreSurgical Techniques
view channel
AI Tool Predicts Surgical Scheduling Gaps to Improve OR Utilization
Operating room inefficiency strains hospital capacity, inflates costs, and contributes to clinician burnout. Accurate surgical scheduling remains difficult because case duration and perioperative logistics... Read more
Innovative Central Line System Reduces Steps and Procedure Time
Central line placement is routine in critical care and surgery, yet it typically involves multiple components and numerous handoffs. Each exchange can introduce contamination risk, procedural delays, and... 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 Heart Model Supports Targeted Ablation in Atrial Fibrillation
Atrial fibrillation is an erratic, quivering heartbeat and a leading cause of stroke. Catheter ablation is widely used to interrupt arrhythmogenic tissue, yet many patients—especially with persistent ... Read moreAI Framework Helps Clinicians Create Trustworthy Risk Prediction Tools
Artificial intelligence (AI) is increasingly used to estimate risks for conditions such as sepsis, heart disease, and cancer, yet many models remain difficult for clinicians to interpret or trust.... Read morePoint of Care
view channel
Handheld AI Device for Point-of-Care Skin Lesion Assessment Receives CE Mark
DermaSensor (Miami, FL, USA) has received a Class IIb CE Mark for its handheld DermaSensor device, marking the start of the company’s global expansion strategy. The certification demonstrates conformity... Read more
Portable Immunoassay System Advances Toward Point-of-Care Biomarker Testing
Proxim Diagnostics Corp. (Santa Clara, CA, USA) has announced that its Profile System, a handheld point-of-care immunoassay platform, has completed development. The milestone includes completion... Read more
Portable MRI System Accelerates Emergency Brain Imaging and Triage
Emergency departments frequently face delays accessing conventional magnetic resonance imaging (MRI) for patients with suspected neurological emergencies. Such waits can slow triage, prolong boarding,... Read more








