Development of a tool to improve the quality of decision making in atrial fibrillation
Background ::: Decision-making about appropriate therapy to reduce the stroke risk associated with non-valvular atrial fibrillation (NVAF) involves the consideration of trade-offs among the benefits, risks, and inconveniences of different treatment options. The objective of this paper is to describe the development of a decision support tool for NVAF based on the provision of individualized risk estimates for stroke and bleeding and on preparing patients to communicate with their physicians about their values and potential treatment options.
With the prevalence of data online, consumers increasingly shop not only for the product that best fits their needs, but also for the best time to purchase the product in order to reduce its cost. In line with this behavior, ecommerce websites often not only offer products, but also provide analytics based statements and recommendations relating to the best time to purchase a perishable product (e.g., air travel). This study examines the effects of such purchase timing statements and recommendations on consumers’ trusting beliefs in the recommendation facility. Our theoretical background comes from Toulmin’s (1958) argumentation model and the literature related to the role of explanation facilities in enhancing consumers’ trust. Results from our pilot study show evidence for the different roles Toulmin elements have, serving as explanation facilities in the context of predictive analytics.