User-Centered Design of Clinical Decision Support for Personalized Evidence Based Care

Abstract

Clinical decision support (CDS) can improve patient outcomes by balancing competing goals for standardization and personalization. However, problems with CDS user-interfaces (UIs) hinder widespread adoption. In two studies of CDS systems to guide pneumonia and heart failure management in the emergency department, I apply user-centered design methods to evaluate which UI features influence the usability of CDS. I conclude that design features that meet clinician's needs for interacting with an automating technology, and increased use of high-fidelity simulation during CDS development, may improve CDS usability and adoption.