A Multidimensional Model for Designing Clinical Decision Support Alerts with Human Decision-Making Considerations: A Design-Science Approach

Clinical decision support (CDS) alerts aim to enhance clinicians’ decisions at the point of care, yet they are often designed without considering human decision-making behaviour. This study adopts behavioural decision theory to describe how humans make decisions and why they succeed or fail in their decision-making. The study leverages these insights and introduces a multidimensional model for designing CDS alerts with human decision-making considerations. The model enables designers to systematically address CDS alerts’ building blocks and align their designs with the way humans make decisions, thereby making them more effective in guiding clinicians’ decisions and protecting patient safety.