Although radiation level is a serious problem which requires continuous monitoring, many existing systems are de- signed to perform this task. Radiation Early Warning System (REWS) is one of these systems which monitor the gamma radiation level in the environment. On the other hand, such system requires high manual intervention, depends totally on experts analysis, and has some shortcomings that can be risky sometimes. In this paper we introduced our approach called RIMI (Refining Incoming Monitored Incidents) which aims to improve this system to become an autonomous system. We also introduced a new method to change this system to become a predictive and proactive system which learns from past incidents.