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

Smart Labels Alert When to Change Face Masks

By HospiMedica International staff writers
Posted on 07 Jan 2021
Print article
Image: Time and temperature sensitive labels protect PPE users (Photo courtesy of Insignia Technologies)
Image: Time and temperature sensitive labels protect PPE users (Photo courtesy of Insignia Technologies)
Novel pigment technology indicates when a disposable face mask has reached the end of its lifespan, or when a re-usable mask requires to be changed.

Developed by Insignia Technologies (Newhouse, United Kingdom), the versatile time temperature indicator (TTI) labels are designed to change color in response to changing levels of CO2 or temperature, or over a pre-calibrated time period. The TTI labels are activated when the packs are opened, and the label is adhered to personal protective equipment (PPE), such as aprons, masks, and more.

As well as adapting its color changing labels for use on face masks and other PPE, the company has also modified a version of the label for medical instruments and devices, such as endoscopes, which require replacement after a defined timeframe. The technology helps to monitor this timeframe, allowing staff to observe, check, and replace a medical instrument or device appropriately. The label can thus ensure the safe use of medical devices, while helping to prevent infection.

“Hospital staff and others in medical settings are required to wear masks at all times while at work, so it’s important that they remember to change their masks regularly in accordance with the suggested time frame,” said David Kilshaw, CEO of Insignia Technologies. “The same guidelines are relevant for those visiting hospitals for extended periods to receive treatment. By including our innovative label technology on masks, we can ensure that PPE is being used responsibly and isn’t being worn for too long, or thrown away too quickly.”

The recommended maximum time to wear a mask is typically 4-6 hours. In medical settings, face masks and coverings are mandatory, but many healthcare staff conduct working shifts of up to 12 hours at a time. Furthermore, hospitals have outpatients spending several hours in hospitals receiving treatment. With no current regulations in place to ensure that mask wearers are consistently changing their face coverings, the TTI label solution can help ensure the safety of all.

Related Links:
Insignia Technologies

Gold Member
STI Test
Vivalytic Sexually Transmitted Infection (STI) Array
Gold Member
SARS‑CoV‑2/Flu A/Flu B/RSV Sample-To-Answer Test
SARS‑CoV‑2/Flu A/Flu B/RSV Cartridge (CE-IVD)
New
Hospital Bed
Alphalite
New
Transcatheter Heart Valve
SAPIEN 3 Ultra

Print article

Channels

Surgical Techniques

view channel
Image: Schematic diagram of intra-articular pressure detection using a sensory system in a sheep model (Photo courtesy of Science China Press)

Novel Sensory System Enables Real-Time Intra-Articular Pressure Monitoring

Knee replacement surgery is a widely performed procedure to relieve knee pain and restore joint function, with over one million surgeries conducted annually. However, 10%-20% of patients remain dissatisfied... Read more

Patient Care

view channel
Image: The portable biosensor platform uses printed electrochemical sensors for the rapid, selective detection of Staphylococcus aureus (Photo courtesy of AIMPLAS)

Portable Biosensor Platform to Reduce Hospital-Acquired Infections

Approximately 4 million patients in the European Union acquire healthcare-associated infections (HAIs) or nosocomial infections each year, with around 37,000 deaths directly resulting from these infections,... 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.