The Value of VisualDx

Improve diagnostic accuracy, save time, and reduce patient harm.

Diagnostic errors cost our healthcare system $1.6 billion annually in malpractice payments. These errors harm patients and lead to other indirect costs and a considerable drain on healthcare resources.

VisualDx aims to reduce diagnostic errors by augmenting a clinician’s thinking. We help establish a logical method of clinical reasoning to avert common diagnostic pitfalls. This leads to evidence-based decision making.

34%
Increase in Accuracy
when primary care doctors use VisualDx to diagnose skin conditions1
26
Minutes Saved
each day when using VisualDx2
#1
Medical Image Resource
for representation of dark skin, as published by JAAD3

Evidence-Based Infographics

Proven Benefits of Using VisualDx

JAAD Study: Diversity in the VisualDx Image Collection

The Value of VisualDx: Quality care begins with an accurate diagnosis

A Medical Crisis Below the Surface: Nearly every person will experience a diagnostic error in their lifetime

Diagnostic Error: Medicine’s silent emergency

Time Savings: See how much time physicians save while using VisualDx

Visualize Complexity: Technology can increase diagnostic accuracy

The Financial Risk of Diagnostic Errors: Diagnostic errors are one of the most serious problems plaguing healthcare systems today

Diagnostic Accuracy: Room for improvement

Improving Diagnosis of Skin Conditions by Using VisualDx

Cellulitis Safety Program: One diagnosis costs one billion in wasted healthcare dollars

Diagnostic Visual Decision Support

VisualDx assists diagnostic decision making in areas where physicians and other providers have expressed a consistent need—those areas requiring pattern-recognition expertise. We help physicians recognize and diagnose by leveraging the innate human ability to pattern match. Simply search by patient factors to see a visual differential diagnosis. VisualDx combines the best medical images in the world—reviewed and confirmed by leading physician experts—with a unique and powerful search engine to give you patient-specific answers in seconds. Serious infectious, immunologic, metabolic, nutritional, psychiatric, and genetic diseases often present visually.

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Proven to Increase Diagnostic Accuracy

Use of VisualDx early in the diagnostic workflow may reduce misdiagnosis for more efficient healthcare management.

  • In a published study of medical educational resources, researchers found VisualDx to have the most diverse images; 28.5% of all images in VisualDx are of dark skin4. For more than 20 years, VisualDx has been committed to providing a comprehensive resource for medical images across all skin types.
  • In a randomized, blinded study of emergency physicians, internists, family physicians, and dermatologists conducted at the University of Rochester, VisualDx improved diagnostic accuracy over 120% for complex medical cases compared with standard textbooks and atlases5. This improved outcome was achieved after only 5 minutes of training using VisualDx.
  • In a published study conducted at UCLA-Harbor Medical Center and University of Rochester Strong Memorial Hospital, physicians using VisualDx were over 4 times more likely to suggest the correct diagnosis for patients admitted to the hospital for serious infections. Without VisualDx, admitting physicians made diagnostic errors 28% of the time. These errors can lead to overprescribing of antibiotics and increased patient risk of hospital-acquired infections6.

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1. Breitbart EW, Choudhury K, Andersen AD, et al. Improved patient satisfaction and diagnostic accuracy in skin diseases with a Visual Clinical Decision Support System-A feasibility study with general practitioners. PLOS One. https://doi. org/10.1371/journal.pone.0235410. Published July 29, 2020. Accessed August 13, 2020.

2. Based on a 2013 survey of 468 VisualDx users.

3. Alvarado SM, Feng H, Representation of dark skin images of common dermatologic conditions in educational resources: a cross-sectional analysis, JAAD (2020), https://doi.org/10.1016/j.jaad.2020.06.041.  Published June 10, 2020. Accessed June 18, 2020.

4. Alvarado SM, Feng H, Representation of dark skin images of common dermatologic conditions in educational resources: a cross-sectional analysis, JAAD (2020), https://doi.org/10.1016/j.jaad.2020.06.041. Published June 10, 2020.

5. Papier A, Allen E, McDermott M. Visual informatics: real-time visual decision support. Poster presented at: American Medical Informatics Association 2001 Annual Symposium; November 3-7, 2001; Washington, DC.

6. David CV, Chira S, Eells SJ, et al. Diagnostic accuracy in patients admitted to hospitals with cellulitis. Dermatol Online J. 2011;17(3):1. Published 2011 Mar 15.