Can clinical decision support systems be an asset in medical education? An experimental approach

Abstract

Abstract Background Diagnostic accuracy is one of the major cornerstones of appropriate and successful medical decision-making. Clinical decision support systems (CDSSs) have recently been used to facilitate physician’s diagnostic considerations. However, to date, little is known about the potential assets of CDSS for medical students in an educational setting. The purpose of our study was to explore the usefulness of CDSSs for medical students assessing their diagnostic performances and the influence of such software on students’ trust in their own diagnostic abilities. Methods Based on paper cases students had to diagnose two different patients using a CDSS and conventional methods such as e.g. textbooks, respectively. Both patients had a common disease, in one setting the clinical presentation was a typical one (tonsillitis), in the other setting (pulmonary embolism), however, the patient presented atypically. We used a 2x2x2 between- and within-subjects cluster-randomised controlled trial to assess the diagnostic accuracy in medical students, also by changing the order of the used resources (CDSS first or second). Results Medical students in their 4th and 5th year performed equally well using conventional methods or the CDSS across the two cases (t(164) = 1,30; p = 0.197). Diagnostic accuracy and trust in the correct diagnosis were higher in the typical presentation condition than in the atypical presentation condition (t(85) = 19.97; p < .0001 and t(150) = 7.67; p < .0001).These results refute our main hypothesis that students diagnose more accurately when using conventional methods compared to the CDSS. Conclusions Medical students in their 4th and 5th year performed equally well in diagnosing two cases of common diseases with typical or atypical clinical presentations using conventional methods or a CDSS. Students were proficient in diagnosing a common disease with a typical presentation but underestimated their own factual knowledge in this scenario. Also, students were aware of their own diagnostic limitations when presented with a challenging case with an atypical presentation for which the use of a CDSS seemingly provided no additional insights.

Keywords

• Medical students
• Diagnosis
• Medical decision-making
• Clinical decision support systems