About ivWatch

IV insertion is the most common hospital procedure, yet up to 50% of them fail, often with severe consequences ranging from dosing errors, scarring, skin staining, nerve damage, amputation, and even death. Newport News, Virginia-based ivWatch is changing that.

Founded in 2010 and holding nearly 70 patents and counting, the company has developed a first-of-its-kind Class II medical device, cleared by the FDA and CE-marked, that uses visible and near-infrared light and a predictive algorithm to continuously monitor peripheral IVs to aid in the early detection of IV leakage events, also known as infiltration and extravasation. 

Applied to the skin at the IV site, ivWatch sensors perform over 18,000 checks per hour for signs of IV infiltration and extravasation, notifying healthcare workers of fluid leakage outside of the vein in real time to reduce severe adverse outcomes. 

In 2024, the company surpassed more than 35 clinical proof bodies. It was also named to Fast Company’s Most Innovative Companies list, the Inc. 2024 Best in Business list in the Health Products category, and was recognized by Modern Healthcare as one of its 2024 Best in Business. The company also reached the Top 3 in the 2024 Startup World Cup Grand Finale, from an initial group of over 8,000 global startups. To learn more, visit www.ivwatch.com. 

LookDeep is revolutionizing telemedicine by using advanced computer vision and AI technology to help hospitals continuously monitor all patients through VisionAI™. Our pioneering zero-cost hardware model and modern, SOC2-certified software dramatically drive down the cost of inpatient video – enabling hospital-wide deployments supported by a virtual care center. AI-powered video monitoring helps tackle critical issues such as patient safety, room conditions, movement and mobility, and patient location and recovery. With LookDeep, hospitals can be present for every patient at every moment. Learn more at www.lookdeep.health.com.

LookDeep is revolutionizing acute Virtual Care by using advanced computer vision and AI technology to help hospitals continuously monitor patients through VisionAI. Our pioneering, zero-cost hardware model, and SOC2-certified software dramatically reduces the cost of inpatient video – enabling hospital-wide deployments, not just the typical 3-5% highest risks patients. LookDeep's AI-powered video monitoring is the only peer-reviewed, published AI on the market and helps tackle critical issues such as patient safety, room conditions, movement and mobility, and staff safety. LookDeep's flexible platform also allows hospitals to use the assets they already own, such as their own video equipment and smart TV's. 

LookDeep's complete platform can be used for:

• Virtual Nursing - Admits, discharges, transfers, mentoring, translation services and more
• Virtual Sitting / Observation - detect movement, detect lack of movement, prevent falls, prevent elopement, and more
• Virtual Rounding by Specialists, including PT, Pharmacy, Case Managers and more
• Family visits to help patients understand and follow discharge orders and for families be present for key updates
• Flexible Staffing if you don't have the staff to help get your Virtual Care program, we can help with short term or long term trained team members

With LookDeep, hospitals can be Ever Present for Every Patient at every moment.

Flexibility, Capability and Time to Value. LookDeep can be up and running technically almost instantly and is regularily building and adding new capabilities that are available to the hospital without upgrades or IT intensive labor.

LookDeep seeks to eliminate the hardware cost ($0 per room) to scale to every room in the hospital and charges based on usage - per patient per day.

In addition, no existing telemedicine platform embeds AI that actually helps monitor patients when a provider cannot be present.

Recently, LookDeep shared what we believe will be the most transparent, peer-reviewed paper to date on AI for Smart Hospitals (pre-print of our manuscript, submitted to Frontiers in Imaging - Imaging Applications here) in real-world hospital settings.  

https://www.linkedin.com/pulse/real-world-ai-hospitals-breaking-through-noise-building-singh-swu3c/