NYU Langone Medical Center Selects VisualDx For Faster and More Accurate Diagnoses

Premier Medical Facility Chooses one of the Most Widely Used Digital Diagnostic Systems

ROCHESTER, NY, Feb 12, 2014 – New York University Langone Medical Center – one of the nation’s premier providers of clinical care, research and medical education – has chosen VisualDx, the latest technology focused on maximizing diagnostic accuracy, to improve patient care at its four hospitals and to help train future physicians at its School of Medicine, Logical Images, maker of VisualDx, announced today.

VisualDx, a mobile app and online resource used by thousands of doctors to accurately diagnose and treat disease, will be available to physicians and other health care professionals at all of NYU’s facilities. In addition, medical students enrolled in the NYU School of Medicine will have access to the powerful diagnostic tool. “We are very pleased to announce that NYU Langone Medical Center has joined the family of leading hospitals and medical schools that recognize how VisualDx can improve patient care and safety,” said Art Papier, MD, CEO of Logical Images. “VisualDx uniquely maximizes a doctors’ ability to recognize and diagnose rare conditions and variants of common diseases.”

VisualDx is licensed by more than 1,500 hospitals and more than half of all U.S. medical schools, including Cornell, Harvard, Yale, UCLA and many others. It is available as an electronic health record integrated resource and as a mobile app that works with the iPhone, Android and iPad. It provides immediate access to diagnostic information in critical areas of medicine, including all aspects of dermatology, fevers, rashes, ophthalmology, infectious disease, chemical events, STDs, travel medicine, child abuse recognition and more.

With VisualDx, NYU’s health care professionals can enter a patient’s symptoms, and, based on the information entered, VisualDx will quickly deliver a highly specific list of potential diagnoses, a series of medical images against which to match the patient’s current conditions and the recommended treatments. VisualDx users can then work through the list to arrive at the best diagnosis, explain the process to the patient and decide on the right treatment for each patient.

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