Visual diagnostic aid: VisualDx

By | June 6, 2010

VisualDx is a point-of-care application designed to help clinicians generate a diagnisis for various skin conditions; skin lesions, rashes, etc.

According to the VisualDx website:

See – with VisualDx. Visual pattern matching is a proven innate human ability. With 65% of the population being visual learners, relaying important information through images is much more efficient than using text alone.
Visual clues are essential to accurate diagnosis, too. Half of all diseases have a skin or pattern clue, and 10-20% of a general practitioner’s diagnosis is visually based. Yet how do clinicians visually discern among common diagnoses – or diagnose a rare disease they have never seen?
Fast and easy to learn, VisualDx links clinicians to superior-quality medical images and information prepared by respected physician specialists – all available on site at the point of care.

Learn – with VisualDx. It is the only technology that delivers the intellectual power of the world’s most comprehensive medical image library combined with concise and regularly updated and reviewed clinical information, sorted by the most relevance to patient findings. Save time that would be otherwise spent consulting and indexing multiple hardcopy resources.
With about 5 minutes of training, begin rapid visual and iconic search entry of visible patient clues to enhance diagnostic processes.

Discern – with VisualDx. Study disease variations by skin type, age, or passage of time, unlike textbooks or atlases that nearly always depict classic or severe cases on fair-skinned individuals. VisualDx visual diagnostic decision support system differentiates common flu-like conditions from those possibly caused by a rare and unusual event, such as a bioterrorism act, as well as from conditions such avian influenza, SARS, or other emerging infectious diseases.
Problem oriented by design, VisualDx helps clinicians dynamically build a customized and patient-relevant pictorial differential diagnosis in seconds, drawn from thousands of medical images revealing variations in presentation between – as well as within – diseases.

Check out the video demonstration below.

And yes, it is available for the iPhone / iPod Touch. However, it doesn’t look like it is available for the iPad yet.

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