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Clinical Trial
. 2007 Oct 11:2007:191-5.

Applying a decision support system in clinical practice: results from melanoma diagnosis

Affiliations
Clinical Trial

Applying a decision support system in clinical practice: results from melanoma diagnosis

Stephan Dreiseitl et al. AMIA Annu Symp Proc. .

Abstract

The work reported in this paper investigates the use of a decision-support tool for the diagnosis of pigmented skin lesions in a real-world clinical trial with 511 patients and 3827 lesion evaluations. We analyzed a number of outcomes of the trial, such as direct comparison of system performance in laboratory and clinical setting, the performance of physicians using the system compared to a control dermatologist without the system, and repeatability of system recommendations. The results show that system performance was significantly less in the real-world setting compared to the laboratory setting (c-index of 0.87 vs. 0.94, p = 0.01). Dermatologists using the system achieved a combined sensitivity of 85% and combined specificity of 95%. We also show that the process of acquiring lesion images using digital dermoscopy devices needs to be standardized before sufficiently high repeatability of measurements can be assured.

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Figures

Figure 1
Figure 1
Scatterplot of the decision-support system output for two examinations of the same lesion, for a total of 768 lesions.

References

    1. Dreiseitl S, Ohno-Machado L. Logistic regression and artificial neural network classification models: a methodology review. J Biomed Inform. 2002;35:352–359. - PubMed
    1. Sintchenko V, Iredell JR, Gilbert GL, Coiera E. Handheld computer-based decision support reduces patient length of stay and antibiotic prescribing in critical care. J Am Med Inform Assoc. 2005;12(4):398–402. - PMC - PubMed
    1. Dayton CS, Ferguson JS, Hornick DB, Peterson MW. Evaluation of an Internet-based decision-support system for applying the ATS/CDC guidelines for tuberculosis preventive therapy. Med Decis Making. 2000;20(1):1–6. - PubMed
    1. Chang PL, Li YC, Wang TM, Huang ST, Hsieh ML, Tsui KH. Evaluation of a decision-support system for preoperative staging of prostate cancer. Med Decis Making. 1999;19(4):419–427. - PubMed
    1. Dreiseitl S, Binder M. Do physicians value decision support? A look at the effect of decision support systems on physician opinion. Artif In-tell Med. 2005;33:25–30. - PubMed

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