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

Document Type

Article

Source of Publication

Information Systems

Publication Date

3-1-2016

Abstract

© 2015 Elsevier Ltd. Objectives This 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. Methods The 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. Results The physicians found the CDSS both useful and usable with clear applications in triage and diagnostic decision-making, and in patient education. Conclusion The 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.

ISSN

0306-4379

Publisher

Elsevier Ltd

Volume

56

First Page

109

Last Page

119

Disciplines

Computer Sciences | Medicine and Health Sciences

Keywords

Hi-trees, Online clinical decision support, Sleep disorder, Usability, Workflow

Scopus ID

84962383010

Indexed in Scopus

yes

Open Access

no

Link to Full Text

Share

COinS