OBJECTIVES: Pharmaceutical industry faces a mighty challenge of low Patient adherence to their drugs which effect their economic prosperity and peace. Patient as Decision Maker intrinsically decides to carry forward with a treatment scope based on multiple attributes associated with that treatment. These attributes can be ranging from his experience to actual benefit from treatment. We present a methodology that complies with following objectives:

• Extracting intrinsic information from Patient as a Decision Maker
• Presenting a framework for evaluation of different treatment scopes for understanding Adherence behaviour

METHODS: We present a framework of Flexible and Interactive Tradeoff (FITradeoff) approach that helps to extract partial information from patient based on a set of alternatives as per the additive model of Multi-Attribute Value Theory (MAVT). This gives an overall value to each treatment plan as assessed by a Patient as a Decision Maker. This value will be an approximation to their adherence behaviour as well. RESULTS: We tested our method on Data with patient treatment alternatives. Results generated provided an assessment and understanding mechanism for patient adherence behaviour. CONCLUSIONS: This method provides a unique decision support system which involves interaction with patients to better understand their adherence behaviour. A further extension to this wok can be optimizing the sets of questions that has to be asked to the Decision Maker.