Literature DB >> 17029139

VisualDx: decision-support software for the diagnosis and management of dermatologic disorders.

Imad M Tleyjeh1, Hesham Nada, Larry M Baddour.   

Abstract

The VisualDx system (http://www.logicalimages.com/prodVDx.htm) is a JAVA-based decision-support program developed by Logical Images to be used in clinical care to develop differential diagnoses based upon morphologic finding- and patient finding-driven searching. It consists of several modules, many of which are very relevant to infectious diseases specialists, such as Fever & Rash; International Travel; Drug Eruptions; Smallpox Vaccination; Terrorism Recognition; Immunocompromised, HIV or AIDS; Female Genital Rashes & Growths; and Male Genital Rashes & Growths. Unlike books and atlases indexed by disease, with VisualDx, clinicians can enter patient descriptors and lesion morphologies, resulting in rapid assistance with differential diagnosis. VisualDx also increases clinician awareness of, knowledge about, and skills in the recognition of chemical warfare, bioterrorism, and radiation injuries.

Entities:  

Mesh:

Year:  2006        PMID: 17029139     DOI: 10.1086/508283

Source DB:  PubMed          Journal:  Clin Infect Dis        ISSN: 1058-4838            Impact factor:   9.079


  3 in total

1.  Clinical Complexity in Medicine: A Measurement Model of Task and Patient Complexity.

Authors:  R Islam; C Weir; G Del Fiol
Journal:  Methods Inf Med       Date:  2015-09-25       Impact factor: 2.176

2.  Understanding complex clinical reasoning in infectious diseases for improving clinical decision support design.

Authors:  Roosan Islam; Charlene R Weir; Makoto Jones; Guilherme Del Fiol; Matthew H Samore
Journal:  BMC Med Inform Decis Mak       Date:  2015-11-30       Impact factor: 2.796

3.  Improved patient satisfaction and diagnostic accuracy in skin diseases with a Visual Clinical Decision Support System-A feasibility study with general practitioners.

Authors:  Eckhard W Breitbart; Kohelia Choudhury; Anders Daniel Andersen; Henriette Bunde; Marianne Breitbart; Antonia Maria Sideri; Susanne Fengler; John Robert Zibert
Journal:  PLoS One       Date:  2020-07-29       Impact factor: 3.240

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.