VisualDx vs Mohs Appropriate Use Criteria

VisualDx is a visual reference tool for medical professionals that leverages AI technology and a comprehensive image atlas to support faster, more confident decisions, fewer unnecessary referrals and testing, and higher patient engagement and satisfaction. With VisualDx, clinicians can: • Build dynamic differentials that evolve as you think. • Use guided support to surface clinically relevant results. • Compare diagnoses to improve decisions for your patients. • Use our AI to take a picture of your patient’s skin condition to better understand morphology and possibilities. • Engage with patients by sharing pictures of skin that reflect their disease presentation. • Access therapy and testing recommendations across over 3,500 conditions. • Quickly recognize infectious diseases and travel-related illnesses with our public health resources. • Test your diagnostic skills with our image challenges and educational resources. • Earn 0.5 AMA PRA Category 1 Credits™ for internet point of care activity with every search. See why this award-winning clinical decision support system is being used in more than 2,300 hospitals, clinics, and medical schools by physicians, nurses, students, PAs, NPs, and other healthcare professionals worldwide. VisualDx requires a subscription. Terms of Use: https://www.visualdx.com/legal/acceptable-use-policy-notice Privacy Policy: https://www.visualdx.com/legal/privacy-policy/

There are many considerations when determining whether to use Mohs surgery for the treatment of skin cancer. The American Academy of Dermatology's new Mohs Surgery Appropriate Use Criteria app can easily and systematically assist you in determining when Mohs is most appropriate for your patients. Whether you are a Mohs surgeon, a general dermatologist, or other referring physician, this app can help you seamlessly implement the AUC in your practice. Highlights of this free app include: •Decision support on the appropriateness of Mohs for 270 unique scenarios •Guided navigation through tumor and patient characteristics •Color-coded body maps for high, medium and low-risk areas •Supplemental clinical algorithms •Quick reference that can be shared with referring physicians and patients