Design of a modular, extensible decision support system for arrhythmia therapy.

We developed a decision-support system for evaluation of treatment alternatives for supraventricular and ventricular arrhythmias. The system uses independent decision models that evaluate the costs and benefits of treatment for recurrent atrioventricular-node reentrant tachycardia (AVNRT), and of therapies to prevent sudden cardiac death (SCD) in patients at risk for life-threatening ventricular arrhythmias. Each of the decision models is accessible through a web-based interface that enables remote users to browse the model's underlying evidence and to perform analyses of effectiveness, cost effectiveness, and sensitivity to input variables. Because the web-based interface is independent of the models, we can extend the functionality of the system by adding decision models. This system illustrates that the use of a library of web-accessible decision models provides decision support economically to widely dispersed users.

Duke Scholars

Author Gillian Denise Sanders Schmidler Population Health Sciences