VisualDx: A Visual Diagnostic Decision Support Tool

2012 ◽  
Vol 31 (4) ◽  
pp. 414-424 ◽  
Author(s):  
Emily Vardell ◽  
Carmen Bou-Crick
2012 ◽  
Vol 4 (2) ◽  
pp. 227-231 ◽  
Author(s):  
Mitchell J. Feldman ◽  
Edward P. Hoffer ◽  
G. Octo Barnett ◽  
Richard J. Kim ◽  
Kathleen T. Famiglietti ◽  
...  

Abstract Background Computer-based medical diagnostic decision support systems have been used for decades, initially as stand-alone applications. More recent versions have been tested for their effectiveness in enhancing the diagnostic ability of clinicians. Objective To determine if viewing a rank-ordered list of diagnostic possibilities from a medical diagnostic decision support system improves residents' differential diagnoses or management plans. Method Twenty first-year internal medicine residents at Massachusetts General Hospital viewed 3 deidentified case descriptions of real patients. All residents completed a web-based questionnaire, entering the differential diagnosis and management plan before and after seeing the diagnostic decision support system's suggested list of diseases. In all 3 exercises, the actual case diagnosis was first on the system's list. Each resident served as his or her own control (pretest/posttest). Results For all 3 cases, a substantial percentage of residents changed their primary considered diagnosis after reviewing the system's suggested diagnoses, and a number of residents who had not initially listed a “further action” (laboratory test, imaging study, or referral) added or changed their management options after using the system. Many residents (20% to 65% depending on the case) improved their differential diagnosis from before to after viewing the system's suggestions. The average time to complete all 3 cases was 15.4 minutes. Most residents thought that viewing the medical diagnostic decision support system's list of suggestions was helpful. Conclusion Viewing a rank-ordered list of diagnostic possibilities from a diagnostic decision support tool had a significant beneficial effect on the quality of first-year medicine residents' differential diagnoses and management plans.


2007 ◽  
Vol 13 (1_suppl) ◽  
pp. 44-46 ◽  
Author(s):  
T O Bola Odufuwa ◽  
Lola Solebo ◽  
Sancy Low

Isabel is a Web-based, diagnostic decision support tool designed to provide a differential diagnosis of a patient's condition for interpretation by a qualified health-care professional. We investigated the accuracy of the Isabel system in ophthalmic primary care. A total of 100 case histories were prospectively collected from ophthalmic primary care clinic records. The patient demographics and clinical features of each case were then entered into the Isabel system, and the results generated by the decision support tool for each case were compared with the diagnosis reached by the ophthalmic team. Of the 100 cases in the dataset, there was no matching diagnosis in the first 2 pages of Isabel results in 40 cases. Of the 60 cases in which there was a matching diagnosis on the first 2 pages of results, 31 had a >50% match between the terms of the query and the Isabel diagnosis reminder system's database. It remains to be established whether this is high enough to be clinically useful in a practice setting. Inclusion of specific ophthalmic knowledge would probably improve the accuracy of the Isabel clinical diagnostic decision support system.


Author(s):  
Martina Mugnano ◽  
Pasquale Memmolo ◽  
Lisa Miccio ◽  
Francesco Merola ◽  
Vittorio Bianco ◽  
...  

2015 ◽  
Vol 11 (7S_Part_9) ◽  
pp. P408-P408
Author(s):  
Marie Bruun ◽  
Kristian Steen Frederiksen ◽  
Gunhild Waldemar ◽  
Hilkka Soininen ◽  
Wiesje M. van der Flier ◽  
...  

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