News

ivWatch Extends Its Global Reach Signing Three New Distribution Partners

Newport News, VA, ivWatch, LLC, an innovative IV safety company working to eliminate harm caused by infiltration and extravasation events, announced three new strategic distribution partnerships internationally. Bameco in Austria, Warba Medical Supplies in Kuwait, and Mustafa Sultan Science & Industry Co, LLC in Oman have each signed exclusive agreements to promote, sell, and support ivWatch’s continuous monitoring products in their markets. ivWatch’s novel technologies will complement and bolster their existing portfolios of intravenous products provided to hospitals and other health care facilities.

ivWatch solutions continue to be available in more countries throughout the globe and with the addition of Austria, Kuwait, and Oman, clinicians will now be able to improve their bedside decision-making with real-time IV infiltration data. Continuous IV site monitoring provides accurate and precise insights to detect infiltrations and extravasations at their earliest stages. ivWatch’s proprietary algorithm detects infiltrations promptly and notifies clinicians of adverse IV therapy events often hours before they are detectable by visual or tactile examination.1

“At ivWatch, we are on a steadfast mission to improve IV safety globally and we are extremely passionate about partnering with likeminded innovators who share that same relentless pursuit to advance patient safety,” said Chuck Egress, Vice President of Business Development and Emerging Markets at ivWatch. “IV infiltrations and extravasations are a major global patient safety concern, and these new partnerships provide increased access to advanced safety solutions to help end complications and improve patient outcomes in IV therapy.”

ivWatch has over 60 patents worldwide and received its first FDA clearance in 2015 for its IV site monitoring system that consists of an ivWatch Patient Monitor and a reusable optical biosensor that uses visible and near-infrared light to continuously measure changes in the optical properties of the tissue near an IV insertion site. In 2020, the company expanded its portfolio of sensor solutions and received FDA clearance for a single-use, miniaturized biosensor that is cleared for all patient age groups, sizes, and skin tones. Both sensors work seamlessly with the intuitive user interface on the Patient Monitor, which issues audible and visual “Check IV” alerts for the clinician to assess the IV site. ivWatch technology performs with high accuracy, intelligence, and low false alarm rates, which is critical to improving patient outcomes.

Read more here.

Recent News

03/12/2026

Quoin Pharmaceuticals Announces FDA Grants Fast Track Designation for QRX003 for the Treatment of Netherton Syndrome

Quoin Pharmaceuticals Ltd. (NASDAQ: QNRX) (“Quoin” or the “Company”), a late clinical-stage specialty pharmaceutical company focused on developing and commercializing therapeutic products that treat rare and orphan diseases, today announced that the U.S. Food and Drug Administration (FDA) has granted Fast Track Designation to QRX003 lotion (4%) for the treatment of Netherton Syndrome, a rare

03/11/2026

ATCC Secures NIAID Contract to Strengthen U.S. Preparedness Against Emerging Infectious Diseases

ATCC has been awarded an Indefinite Delivery/Indefinite Quantity (IDIQ) contract (number 75N93025D00017) with an ordering period of 7 years with Federal funds from the National Institute of Allergy and Infectious Diseases (NIAID), an institute within the National Institutes of Health (NIH) and the Department of Health and Human Services (HHS). The contract, with an initial

03/10/2026

ivWatch and Aon Address Costly and Underreported Patient Harm Epidemic with New Return on Investment Model

ivWatch, the IV safety company, has partnered with Aon, a leading global insurance broker and risk consultant, to quantify the clinical and financial impact of severe IV infiltration and extravasation injuries – one of the most underreported and costly adverse events in healthcare – and to model the return on investment associated with detecting these