Reference: Sanders, G. D.; Harris, R. A.; Hlatky, M. A.; & Owens, D. K. Prevention of Sudden Cardiac Death: a Probabilistic Model for Decision Support. Knowledge Systems Laboratory, Medical Computer Science, May, 1995.
Abstract: As part of the Cardiac Arrhythmia and Risk of Death Patient Outcomes Research Team (CARD PORT) study we are developing a comprehensive decision model to help physicians identify preferred strategies for preventing sudden cardiac death. The model integrates three components: a screening model, a treatment model, and a value model. Ultimately this model will use the CARD PORT's collective findings to produce policy recommendations and will support patient-specific clinical decision making. Our initial modeling suggests the importance of patient-specific value models in an analysis of treatment options. Although our model is specific to cardiac sudden death, other medical domains that exhibit similar characteristics - the importance of patient preferences and the uncertainty regarding the benefits of strategies for risk stratification and treatment - can use a conceptual framework similar to the approach we used to represent strategies to prevent sudden cardiac death.