Science News
from research organizations

Computer-assisted diagnosis tool helps physicians assess skin conditions without aid from dermatologists

Date:
April 22, 2015
Source:
Perelman School of Medicine at the University of Pennsylvania
Summary:
In the first major study to examine the use of a computer-assisted, photo-driven differential diagnosis generator for skin conditions, researchers found physicians routinely used the tool, without an increase in calling for inpatient dermatology consultations.
Share:
FULL STORY

In the first major study to examine the use of a computer-assisted, photo-driven differential diagnosis generator for skin conditions, researchers at the Perelman School of Medicine at the University of Pennsylvania found physicians routinely used the tool, without an increase in calling for inpatient dermatology consultations. The software diagnostic tool, VisualDx, aids in diagnosing dermatologic conditions by allowing physicians to enter information such as the type and location of a rash, and associated symptoms such as pain or itching, and then generating a range of possible diagnoses accompanied by photographs. This enables users to rapidly compare the rash of an individual patient to a database of more than 1,300 pediatric and adult skin conditions represented by nearly 30,000 images, with the aim of improving diagnostic accuracy reducing misdiagnosis-related harm.

The study, published early online in Diagnosis, found that the rate of dermatologic consultations at the Hospital of the University of Pennsylvania, the flagship hospital of Penn Medicine, did not change for the 18 months after VisualDx was introduced compared to the 12 months before it was introduced.

"This is important because these tools by design suggest numerous potential diagnoses, which could result in an increase in unnecessary testing and specialty consultation, and associated costs and harms, particularly in the hands of less experienced clinicians," says the study's senior author, Craig A. Umscheid, MD, MSCE, assistant professor of Medicine and Epidemiology and director of the Penn Medicine Center for Evidence-based Practice. "Conversely, if there were a significant reduction in dermatologic consultations, it would have suggested that general internists, emergency room physicians, family doctors and pediatricians, all of whom by definition are not specialists in dermatology, may have relied on the tool to make dermatologic diagnoses, rather than consulting a dermatologist for help."

The Penn team examined the use of VisualDx throughout the University of Pennsylvania Health System by month for the 18 months following its introduction in September 2012. Researchers found a median of 474 unique monthly VisualDx sessions by users, a rate that continued throughout the time period under study. The researchers found that, overall, VisualDx was accessed through mobile devices (35 percent); inpatient (34 percent), outpatient (11 percent), and emergency department (one percent) electronic health records; and via searches in UpToDate, a point-of-care evidence summary resource (19 percent).

"Technology like this has great promise, but it can't help patients unless it's actually used," says Umscheid. "Previous studies have been primarily simulations, where researchers take variables from case studies and input them into the software to retroactively assess the diagnostic accuracy of the software. However, our purpose was to determine if a differential diagnosis generator like VisualDx would actually be used by providers if implemented in a hospital, and we found that it is -- most often on mobile devices and by inpatient providers."

Differential diagnosis generators have been suggested as a potential way of reducing misdiagnosis, which is estimated to result in 40,000 to 80,000 deaths in U.S. hospitals annually. "The technology can help users overcome cognitive shortcomings such as availability bias, in which providers diagnose patients with conditions they've recently seen or can easily recall, rather than those conditions that are most likely to occur. It can also reduce fund of knowledge deficiencies by directing users to diagnoses they might not have otherwise considered," commented the study's lead author John Barbieri, MD, MBA, a 2014 graduate of the Perelman School of Medicine and The Wharton School.


Story Source:

Materials provided by Perelman School of Medicine at the University of Pennsylvania. Note: Content may be edited for style and length.


Journal Reference:

  1. John S. Barbieri, Benjamin French, Craig A. Umscheid. Uptake and impact of a clinical diagnostic decision support tool at an academic medical center. Diagnosis, 2015; 0 (0) DOI: 10.1515/dx-2014-0058

Cite This Page:

Perelman School of Medicine at the University of Pennsylvania. "Computer-assisted diagnosis tool helps physicians assess skin conditions without aid from dermatologists." ScienceDaily. ScienceDaily, 22 April 2015. <www.sciencedaily.com/releases/2015/04/150422135616.htm>.
Perelman School of Medicine at the University of Pennsylvania. (2015, April 22). Computer-assisted diagnosis tool helps physicians assess skin conditions without aid from dermatologists. ScienceDaily. Retrieved May 23, 2017 from www.sciencedaily.com/releases/2015/04/150422135616.htm
Perelman School of Medicine at the University of Pennsylvania. "Computer-assisted diagnosis tool helps physicians assess skin conditions without aid from dermatologists." ScienceDaily. www.sciencedaily.com/releases/2015/04/150422135616.htm (accessed May 23, 2017).

RELATED STORIES