Consecutive interpreting of medical discourse is a ‎stressful process, where interpreters face several difficulties. Thus, interpreters tend to use problem-solving strategies, such as omission, approximation, paraphrasing and consulting documents. Though such ‎strategies are frequently and commonly used by interpreters, they ‎cannot deliver a fully accurate meaning. The present study empirically introduces the use of a terminology management application, namely InterpretBank. It is proposed to be an essential tool for consecutive interpreters to deliver more accurate specialized terminology in interpreting the medical domain than traditional methods. The quantitative analysis of the empirical study depends on the Dynamic Quality Framework Error Typology by TAUS (GÖRÖG, 2014)