Many countries have seen the trend of more frequent diagnostic test utilization in recent decades, contributing to substantially increased healthcare cost. Information and communications technology-based interventions targeting at reducing unnecessary diagnostic tests (UDT) were popular and effective. But the sustainability of such interventions was questionable due to the lack of consideration of behavioral factors. Adopting behavioral change intervention using clinical decision support (CDS) and novel behavioral economics theory in extant literature is relatively rare. This research aims to explore the effectiveness of dual process theory and nudge, theory, and method from behavioral economics, in clinical decision support system to reduce UDTs. The expected contribution to knowledge includes a) clinical decision-making models and framework for diagnostic test ordering; b) an artefact – an instantiation of a nudge CDS; c) design principles for the artefact; and d) design relevant explanatory/predictive theories of how and why the artefact works to facilitate or discourage clinician’s behavior change.
Bai, Lu, "Clinical Decision Support with Nudge to Reduce Unnecessary Diagnostic Tests" (2021). PACIS 2021 Proceedings. 256.
When commenting on articles, please be friendly, welcoming, respectful and abide by the AIS eLibrary Discussion Thread Code of Conduct posted here.