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Reduce Diagnostic Errors, Improve Outcomes

Diagnostic delay and error can lead to patient harm. In fact, mortality data from autopsies showed that 35% to 40% of deaths were due to missed diagnoses.1 Research has confirmed that cognitive mistakes by physicians are the predominant cause of this error.Although most medical cases are ultimately correctly diagnosed and treated, errors leading to delay may result in poor quality of care, patient safety risks, increased costs, and, in some cases, malpractice litigation.3,4 

Diagnostic Visual Decision Support

VisualDx assists diagnostic decision-making 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. See case studies showing how VisualDx supports diagnostic accuracy.


 

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Learn more about the study.5


Proven to Increase Diagnostic Accuracy

We had a man present with a very unusual rash on his hand. Using VisualDx, we were able to accurately diagnose Mycobacterium marinum. The dermatologist that we referred him to was quite impressed that we were able to correctly diagnose it. – Dr. Dino Messina, Program Director of the Primary Care Residency Program, Danbury Hospital

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

  • In a randomized, blinded study of emergency physicians, internists, family physicians, and dermatologists conducted at the University of Rochester, VisualDx improved diagnostic accuracy more than 120% for complex medical cases compared with standard textbooks and atlases.5 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 four times more likely to suggest the correct diagnosis for patients admitted to the hospital for serious infections.6 Without VisualDx, admitting physicians made diagnostic errors 28% of the time. These errors can lead to over-prescribing of antibiotics and increased patient risk of hospital-acquired infections.

  1. Leape LL. Error in medicine. JAMA. 1994;272(23):1851-1857. [PubMed].
  2. Graber ML, Franklin N, Gordon R. Diagnostic error in internal medicine. Arch Intern Med. 2005;165(13):1493-1499. [PubMed].
  3. Graber M. Diagnostic errors in medicine: a case of neglect. Jt Comm J Qual Patient Saf. 2005;31(2):106-113. [PubMed].
  4. Berner ES, Miller RA, Graber ML. Missed and delayed diagnoses in the ambulatory setting. Ann Intern Med. 2007;146(6):470; author reply 470-471. [PubMed].
  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. [PubMed].