Streamlining patient consultations for sleep disorders with a knowledge-based CDSS

Abstract

ObjectivesThis paper examines the workflow of sleep physicians during a patient consultation and how an innovative clinical decision support system (CDSS) provides efficiency and effectiveness gains. MethodsThe CDSS tools consisted of two input applications for patient data, with a knowledge based decision support system developed participatively with physicians and an international panel. An argument tree approach was used to produce diagnostic explanations and an evidence-based report for the physician using medically correct and shared terminology. A usability evaluation using a qualitative approach was carried out to ensure that the CDSS met the physicians׳ information needs, as well as the wider needs of a Sleep Investigation Unit. ResultsThe physicians found the CDSS both useful and usable with clear applications in triage and diagnostic decision-making, and in patient education. ConclusionThe CDSS both reduces the time and number of visits needed for consultations, and helps focus consultation on better individual patient care through informed explanation of diagnostic and treatment decisions.