News | July 22, 2008

Diagnostic Support System Aims for Speed, Error Reduction

July 23, 2008 – Logical Images Inc.’s VisualDx 6.0, a browser-only diagnostic decision support system, is now available.

VisualDx 6.0 aims to offer healthcare providers real-time point-of-care access to clinical information and more than 16,000 medical images presenting diseases in variation of severity, skin type, age and passage of time. The new browser architecture improves accessibility and gives clinicians fast, convenient access to visual diagnostic decision support.

Research indicates that nearly 15 percent of medical diagnoses are incorrect, costing millions of health care dollars and thousands of lives every year, according to the company. There is an ever-increasing amount of medical data available–too much for any primary healthcare doctor to memorize. VisualDx 6.0 is designed to give clinicians access to the specialist knowledge they need to diagnose patients quickly and accurately using visual clues. Thousands of doctors at hospitals, public health organizations, medical groups, and medical schools use VisualDx to improve care and diagnostic accuracy.

“VisualDx enhances healthcare quality and offers fast, convenient access to a wealth of medical images and information that I use to supplement my clinical judgment to accurately diagnose diseases I don’t see every day,” said Edward A. Bartkus, M.D., EMS, medical director of Clarian Health in Indiana. “The ability to enter and select a patient’s findings as a combination of text and images, and to compare multiple diagnoses and images simultaneously, is a particularly effective way to build a customized differential diagnosis. VisualDx is a very useful decision support system.”

Traditional medical reference sources such as textbooks and atlases offer limited information and require the clinician to search by diagnosis name, so users must consult and index multiple pages, which takes time and focus away from the patient. With VisualDx 6.0, clinicians simply enter the patient’s clinical features, such as lesion morphology, body location, symptoms, medical history, etc., to build a customized pictorial differential diagnosis in seconds. The main module is logically organized by age group, body location, and problem area to make it easier to initiate a differential diagnosis. Results are color coded with the most relevant findings listed at the top.

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