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ANALYSIS OF DIALOGUE TECHNIQUE ACCEPTANCE OF DIAGNOSIS BASED CLINICAL DECISION SUPPORT SYSTEM

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Sulistianingsih N.

Abstract

Many decision support systems have been developed to diagnose diseases, but in
reality many of these systems fail when applied. This is mainly due to the difficulties in
the use of the system due to incompatibility between the system interface and the
wishes of physicians. The purpose of this study was to determine the interface design
of decision support systems for diseases diagnose in accordance with physician’s
wishes and to determine the effects of perceived usefulness and perceived ease of use
on the behavioral intention to use the interface design. The data analysis technique
used included the Wilcoxon test, the Friedman test, a principal component analysis
and a multiple linear regression analysis. From the data analysis it was found that in
anamneses and physical examinations, respondents prefer the interface design of
natural language processing and a form filling dialogue, whereas in supported
examinations, respondents prefer windowing system interface designs. Advanced data
analyses found an influence of the variables of perceived usefulness and perceived
ease of use on the behavioral intention to use and this influence has a positive effect.

Article Details

How to Cite
N., Sulistianingsih. ANALYSIS OF DIALOGUE TECHNIQUE ACCEPTANCE OF DIAGNOSIS BASED CLINICAL DECISION SUPPORT SYSTEM. Kursor, [S.l.], v. 8, n. 1, p. 1-12, dec. 2016. ISSN 2301-6914. Available at: <http://kursorjournal.org/index.php/kursor/article/view/69>. Date accessed: 14 dec. 2019. doi: https://doi.org/10.28961/kursor.v8i1.69.
Keywords
Decision Support System to Diagnose Disease; Anamneses; Physical Examination; Supported Examination
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