Abstract
A recent report by the International Diabetes Federation (IDF) indicated that the number of people with diabetes worldwide was anticipated to reach 415 million by 2015. Persons with diabetes must continually monitor their blood glucose levels and manage their diets. A balance between the amount of insulin in a person’s body and the level of carbohydrate intake makes a difference in the blood glucose levels. However, many persons are unable to properly estimate the level of carbohydrates in their food. Moreover, the current apparatus for measuring blood glucose carries the risk of infection if not properly maintained. The purpose of this research is to integrate the Theory of Inventive Problem Solving (TRIZ) and Multi-Attribute Utility Theory (MAUT) to develop a novel technical product for use with diabetic individuals. The proposed methodology was tested and validated with an empirical study using a carbohydrate-detecting device. The innovative device offers a non-invasive and convenient way to provide carbohydrate intake information and to help patients manage their blood glucose levels. The results demonstrate the practical viability of this new approach. This is the first study that integrates TRIZ and MAUT and implements both product and service design using TRIZ. The evaluation of technology feasibility is also considered in this paper.