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CEO Art Papier, MD, had a great discussion about clinical decision support, diagnostic accuracy and how we use machine learning with DermExpert with the HC Biz Show.
"It became immediately clear to me that the vast majority of even common skin conditions are on white skin. You have to scroll down like 80 pictures to find a single one on brown skin."
How can you integrate decision-making resources into your clinical practice? In this resident takeover of the podcast, three dermatology residents discuss clinical decision support tools.
That was the question Wednesday at the Connected Health Conference, as a panel of experts discussed the right regulatory approach to ensure developers can innovate - while also giving physicians and patients tools that work safely for them.
With the surge of smartphone technology, millions of applications have become available for both Android and Apple users - some of these may be especially useful for clinicians looking to improve patient care and job productivity.
The award-winning diagnostic clinical decision support system is designed to improve patient safety and educate specialists in the field of endocrinology, cardiology and rheumatology.
One of the world's top medical schools to provide access to the leading diagnostic decision support system.
"You need just a few [apps] to improve patient care and your life", says Daniel Mark Siegel, M.D., clinical professor of dermatology at SUNY Downstate.
The leading clinical decision support resource is now also searchable in Japanese.
Some might view the use of non-human intelligence in dermatology as a threat. But this expert believes it's up to dermatologists to transform this technological into an opportunity to 'augment' clinical practice.