Towards an Ontology-Based Framework to Generate Diagnostic Decision Support Systems

2013 ◽  
pp. 25-36 ◽  
Author(s):  
Giuseppe Cicala ◽  
Marco Oreggia ◽  
Armando Tacchella
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Diagnostic Decision

Towards an Ontology to Support Semantics Enabled Diagnostic Decision Support Systems

2012 ◽  
Vol 7 (3) ◽  
pp. 234-245 ◽  
Author(s):  
Alejandro Rodriguez-Gonzalez ◽  
Gandhi Hernandez-Chan ◽  
Ricardo Colomo-Palacios ◽  
Juan Miguel Gomez-Berbis ◽  
Angel Garcia-Crespo ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Diagnostic Decision

scholarly journals Mining balance disorders' data for the development of diagnostic decision support systems

2016 ◽  
Vol 77 ◽  
pp. 240-248 ◽  
Author(s):  
T.P. Exarchos ◽  
G. Rigas ◽  
A. Bibas ◽  
D. Kikidis ◽  
C. Nikitas ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Balance Disorders ◽  
Diagnostic Decision

scholarly journals Health economic benefits through the use of diagnostic support systems and expert knowledge

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Tina Willmen ◽  
Lukas Völkel ◽  
Simon Ronicke ◽  
Martin C. Hirsch ◽  
Jessica Kaufeld ◽  
...  
Keyword(s):  
Health Economic ◽  
Decision Support ◽  
Decision Support Systems ◽  
Rare Disease ◽  
Rare Diseases ◽  
Support Systems ◽  
Economic Benefits ◽  
Diagnostic Process ◽  
Individual Treatment ◽  
Diagnostic Decision

Abstract Background Rare diseases are difficult to diagnose. Due to their rarity, heterogeneity, and variability, rare diseases often result not only in extensive diagnostic tests and imaging studies, but also in unnecessary repetitions of examinations, which places a greater overall burden on the healthcare system. Diagnostic decision support systems (DDSS) optimized by rare disease experts and used early by primary care physicians and specialists are able to significantly shorten diagnostic processes. The objective of this study was to evaluate reductions in diagnostic costs incurred in rare disease cases brought about by rapid referral to an expert and diagnostic decision support systems. Methods Retrospectively, diagnostic costs from disease onset to diagnosis were analyzed in 78 patient cases from the outpatient clinic for rare inflammatory systemic diseases at Hannover Medical School. From the onset of the first symptoms, all diagnostic measures related to the disease were taken from the patient files and documented for each day. The basis for the health economic calculations was the Einheitlicher Bewertungsmaßstab (EBM) used in Germany for statutory health insurance, which assigns a fixed flat rate to the various medical services. For 76 cases we also calculated the cost savings that would have been achieved by the diagnosis support system Ada DX applied by an expert. Results The expert was able to achieve significant savings for patients with long courses of disease. On average, the expert needed only 27 % of the total costs incurred in the individual treatment odysseys to make the correct diagnosis. The expert also needed significantly less time and avoided unnecessary examination repetitions. If a DDSS had been applied early in the 76 cases studied, only 51–68 % of the total costs would have incurred and the diagnosis would have been made earlier. Earlier diagnosis would have significantly reduced costs. Conclusion The study showed that significant savings in the diagnostic process of rare diseases can be achieved through rapid referral to an expert and the use of DDSS. Faster diagnosis not only achieves savings, but also enables the right therapy and thus an increase in the quality of life for patients.

Use of Diagnostic Decision Support Systems in Medical Education

2010 ◽  
Vol 49 (04) ◽  
pp. 412-417 ◽  
Author(s):  
J. J. McGowan ◽  
E. S. Berner
Keyword(s):  
Medical Education ◽  
Decision Support ◽  
Decision Support Systems ◽  
Information Seeking ◽  
Support Systems ◽  
Medical Curriculum ◽  
Clinical Information ◽  
Basic Knowledge ◽  
Research Issues ◽  
Diagnostic Decision

Summary Background: Diagnostic decision support systems are designed to assist physicians with making diagnoses. This article illustrates some of the issues that will be faced as diagnostic decision support systems become used in medical education. Objectives: The objectives of this article are to examine 1) the skills that are needed to properly use these programs as part of the students’ clinical experiences; 2) the changes that will be necessary in our curricula once these programs are more extensively utilized, including the implications of using these systems as an educational resource or simulation tool, and 3) the research issues that arise when these systems become an established part of our educational programs. Methods: This is a critical analysis of the literature on diagnostic decision support systems and medical education. Results: To optimally use diagnostic decision support programs, students will need grounding in the basic knowledge and skills that have always been necessary to become a physician, such as the ability to accurately gather and interpret clinical information from the patient. In addition, students will need specific skills in 1) selecting appropriate system vocabulary and functions, and 2) applying the diagnostic system’s suggestions to their particular patient. Conclusions: When computer-based decision support systems are incorporated in medical education, they will likely lead to changes in the traditional medical curriculum. Research will be needed on how use of these programs changes the students’ knowledge, problem-solving and information-seeking skills.

scholarly journals Evaluating Detection and Diagnostic Decision Support Systems for Bioterrorism Response

2004 ◽  
Vol 10 (1) ◽  
pp. 100-108 ◽  
Author(s):  
Dena M. Bravata ◽  
Vandana Sundaram ◽  
Kathryn M. McDonald ◽  
Wendy M. Smith ◽  
Herbert Szeto ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Diagnostic Decision
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