Chronic wounds: a hidden crisis.

Few people outside of healthcare know about the challenges of chronic wounds. But once you become present to the fact that nearly 50% of all patient encounters involve wounds that may never heal, you start to quickly understand our singular devotion and focus to helping solve the wound care problem.

Swift Medical is the global leader in Digital Wound Care Management Technology. Our core products help enterprise healthcare providers deliver consistent, best practice wound care across their entire patient populations, whether they manage thirty beds or thirty thousand.

Scientifically calibrated imaging on your smartphone

What used to require expensive, dedicated hardware can now be accomplished with the phones and tablets we carry every day. Swift computer vision technology calibrates images for scale, colour, lighting and 3D structure, observing depth from a single capture and providing precise measurements, every time.

Our technology helps clinicians practice at the top of their license.

Swift Skin & Wound Camera Screen in Clinician's Hands

AI at the bedside

Swift AI Technology performs a semantic analysis of the image data, enabling care teams to find wounds more accurately, correctly identify specific tissues, and predict outcomes earlier. Using deep learning, the software observes the collection of wound assessments captured each day, incorporating each into its body of knowledge to continually improve over time.

Skin & Wound Evaluation Summary on phone

Seeing what can't be seen

Capturing the visual elements of a wound shouldn’t be bound by the limitations of a photo. Swift Skin & Wound™ is revolutionizing bedside imaging by giving practitioners the full picture—observing healing over time and looking above and below the skin to deliver accurate reporting and better patient outcomes.

Predicting the unpredictable

Wound care today involves hundreds of factors, making prediction difficult. Swift takes the whole patient record into account and builds an actual understanding of the wound—measurements, patient history and comorbidities, and automated image analysis. Better intelligence resulting in deeper understanding.

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