The development rate of sudden outbreaks is usually extremely rapid, and the traditional technical system is mainly based on the analysis of data from big case samples. Its identification process lacks interaction with the clinic, and it is easy to miss the time window to contain the outbreak. The prevention and control of sudden and unidentified epidemic situations are highly complex. To reach a consensus on early warning requires a process of multi-angle understanding and multi-level communication, in which the technical characteristics of blockchain tamper resistance, value transfer, decentralization, etc. are used to build a traceable, safe, and reliable system of consensus mechanism, so that clinicians, experts, scientific institutions, medical and health supervisors, and other relevant personnel can join into a distributed network system, form a reliable professional team, dynamically monitor the occurrence and development of the epidemic, and reach a consensus on prevention and control in real-time. The concensus mechanism is conducive to carrying out professional cooperation against sudden and unknown epidemic situations, effectively protecting the lives of medical personnel and the public, and minimizing the impact of the epidemic on social stability. The combination by consensus mechanism of clinical and technical systems can prevent the rapid spread of unknown epidemics on time, which makes the prevention and control decisions more controllable and avoids the formation of major epidemics.