# VisualDx

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> Source: https://en.wikipedia.org/wiki/VisualDx
> Source revision: 1351987182
> License: Creative Commons Attribution-ShareAlike 4.0 International (https://creativecommons.org/licenses/by-sa/4.0/)

{{infobox software
|released               = {{Start date and age|2001}}<ref name="wired">{{Cite web|url = https://www.wired.com/2015/04/visualdx/|title = A Super-Gross Diagnostic Tool That Could Save Your Life|date = 4 April 2015|access-date = 19 April 2015|website = [Wired.com](/source/Wired.com)|publisher = |last = Lapowsky|first = Issie}}</ref>
|genre                  = [Clinical decision support system](/source/Clinical_decision_support_system)
|website                = {{URL|https://www.visualdx.com/}}
|license                = [Proprietary](/source/Proprietary_software_license)
|platform               = PC, [iPad](/source/iPad)/[iPhone](/source/iPhone), [Android tablet/phone](/source/Android_(operating_system))<ref name="democrat-and-chronicle">{{cite web|url=https://www.democratandchronicle.com/story/money/columnist/lahman/2015/03/05/health-care-visualdx-sean-lahman-column/24454341/|title=Fighting disease with pictures|author=Sean Lahman|date=5 March 2015|access-date = 19 April 2015|website=Rochester Democrat & Chronicle}}</ref>
}}
'''VisualDx''' is a [clinical decision support system](/source/clinical_decision_support_system) (CDSS) designed to assist healthcare professionals—including primary care providers, specialists, and medical educators—in making more accurate clinical decisions.<ref>{{Cite journal |last1=Breitbart |first1=Eckhard W. |last2=Choudhury |first2=Kohelia |last3=Andersen |first3=Anders Daniel |last4=Bunde |first4=Henriette |last5=Breitbart |first5=Marianne |last6=Sideri |first6=Antonia Maria |last7=Fengler |first7=Susanne |last8=Zibert |first8=John Robert |date=2020 |title=Improved patient satisfaction and diagnostic accuracy in skin diseases with a Visual Clinical Decision Support System-A feasibility study with general practitioners |journal=PLOS ONE |volume=15 |issue=7 |article-number=e0235410 |doi=10.1371/journal.pone.0235410 |doi-access=free |issn=1932-6203 |pmc=7390264 |pmid=32726308 |bibcode=2020PLoSO..1535410B }}</ref> The platform combines a vast medical image library with peer-reviewed content to support differential diagnosis, patient education, and [adverse drug reaction](/source/adverse_drug_reaction) identification.

== Key Features ==

* '''[Differential Diagnosis](/source/Differential_diagnosis) Builder''': Clinicians input patient symptoms, findings, or images to generate a ranked list of potential conditions supported by high-quality visuals.
* '''Medical Image Library''': VisualDx includes over '''45,000 images''', with '''32,000 captioned''', covering a wide range of skin, eye, oral, and systemic conditions.
* '''Adverse Drug Reaction Tool''': Enables clinicians to search by medication and identify possible drug-related conditions.
* '''DermExpert AI''': A feature that allows clinicians to photograph skin conditions and receive a differential diagnosis using AI-powered analysis.<ref>{{Cite journal |last1=Dulmage |first1=Brittany |last2=Tegtmeyer |first2=Kyle |last3=Zhang |first3=Michael Z. |last4=Colavincenzo |first4=Maria |last5=Xu |first5=Shuai |date=May 2021 |title=A Point-of-Care, Real-Time Artificial Intelligence System to Support Clinician Diagnosis of a Wide Range of Skin Diseases |journal=The Journal of Investigative Dermatology |volume=141 |issue=5 |pages=1230–1235 |doi=10.1016/j.jid.2020.08.027 |issn=1523-1747 |pmid=33065109}}</ref> 
* '''Patient Handouts''': Nearly '''400 handouts''' are available to support patient understanding and engagement.

== Adoption and Reach ==

* VisualDx is used in '''over 2,300 hospitals and clinics''' worldwide.
* It is integrated into the curriculum of '''more than 50% of U.S. medical schools''', supporting clinical education and training. 
* The platform is available via '''monthly or annual subscription''', with a '''30-day free trial''' offered to new users.

== API Integration ==
VisualDx offers a '''[https://www.visualdx.com/solutions/api/ customizable API]''' that enables health systems, insurers, and digital health platforms to integrate its clinical decision support capabilities into existing workflows. The API provides access to VisualDx's curated medical image library, differential diagnosis engine, and symptom checker tools, supporting use cases such as:

* '''Patient triage''': Routing patients to appropriate care settings based on symptoms and risk factors.
* '''Clinical workflow optimization''': Embedding VisualDx into [EHRs](/source/Electronic_health_record) or digital front doors to streamline decision-making.
* '''Operational efficiency''': Reducing unnecessary referrals and improving in-network retention.

The API is designed for scalability and security, with documented use in insurance workflows, dermatology triage, and digital health innovation initiatives.

== Company Background ==
VisualDx is developed by '''VisualDx''', a physician-led company headquartered in '''[Rochester, New York](/source/Rochester%2C_New_York)'''. It was co-founded by '''Lowell Goldsmith, MD''' and '''Art Papier, MD''', both dermatology professors at the [University of Rochester](/source/University_of_Rochester_School_of_Medicine_and_Dentistry).

== References ==
<references />

Category:Medical expert systems

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Adapted from the Wikipedia article [VisualDx](https://en.wikipedia.org/wiki/VisualDx) by Wikipedia contributors ([contributor history](https://en.wikipedia.org/wiki/VisualDx?action=history)). Available under [Creative Commons Attribution-ShareAlike 4.0 International](https://creativecommons.org/licenses/by-sa/4.0/). Changes may have been made.