Decision support system for Warfarin therapy management:
Approximately 150,000 patients are being treated with Warfarin in Sweden and the number is increasing steadily (Socialstyrelsen, 2009). Warfarin is an oral anticoagulant medication to prevent and treat thrombosis disorders formed by variety of indications such as atrial fibrillation, mechanical heart valve, deep vein, and pulmonary thrombosis. It is quite common that Warfarin patients are treated for a long period, often for a lifetime.
This project is supported by funding from Kristina Stenborgs foundation for scientific research through the Centre for Healthcare Improvement (CHI) at Chalmers University of Technology. It aims to create a decision support system which can help the clinicians make better decisions on an individualized basis.
A probabilistic decision making approach, known as Bayesian Network, is proposed to understand the sources of variation which contribute to the change of patients’ response to Warfarin (measured by the International Normalized Ratio value) and, at the same time, to predict bleeding and thrombosis risks related to the therapy for taking preventive actions.
The model is built upon previous findings from medical literature, knowledge of domain experts and patient data from a Skaraborg hospital group that monitors Warfarin therapy for 3000 patients.
This projects is connected to the Quality and Operations Management target area.