Constructing New Drug Adoption Rules in Medical Institution

Knowledge of medicinal chemical compounds is complex and evidence-based. This study extracted knowledge of drugs from experts and assessed that knowledge using sophisticated computational techniques for critical decision making. By using fuzzy inference system this study evaluated new drug candidates in efficient way by considering not only safety and efficacy, but also the hottest issue-cost. The process utilized in this study was based on the consensus of the Drugs and Therapeutic Committee (DTC). Finally, this study establishes new drug adoption rules based on the knowledge of DTC members and implements a fuzzy inference system. Notably, the verification and comparison of this study also provide an intuitive direction for system development and further researches.