OBJECTIVES: Health Care Systems consists of a large number of characteristics. However the scarcity of resources restricts the implementation of some policies although they would certainly contribute to improve the population health. This implies that improvement in a particular domain of the health care system leads to some sacrifices in other areas. Then, the public is asked to weigh the feature of the Health Care System and make-trade offs between attributes they consider important. For instance how much additional tax the public is prepared to accept for a decrease in waiting times for surgery. This study intends to use the Discrete Choice Experiment to assess the benefits in these characteristics. METHODS: The different attributes of the Health Care System are identified using a literature search. This serves as a basis for the construction of a binary outcome questionnaire across 27 pairwise choices. A sample of 50 persons was interviewed in the area surrounding York University. The logit model has been used for the analysis, which assesses the public's preference towards different attributes. RESULTS: The outcomes were in line with prior expectations. There was internal constancy in the result and those were statically significant. A main factor for the public's valuation was the number of people who would miss out on treatment due to cost. They were also much more concerned about the Infant mortality than Life expectancy. Furthermore the willingness to pay was estimated for each attribute. CONCLUSION: This experiment has demonstrated that the Discrete Choice Experiment could inform the decision makers about the public's preferences for attributes within the Health care System. Further, it will allow health care decision makers to more accurately compare the performance of different countries, accounting for the individual preferences of each population.