The invention discloses an outpatient
queue AI decision
bus method and
system based on dynamic fusing and self-healing. The outpatient
queue AI decision
bus method comprises the following steps: S1,
data acquisition and preprocessing: acquiring state, sorting, priority, load and sign-in rule data from a patient table and an association table; according to the method, automatic degradation and service continuity in an abnormal scene are realized through health degree monitoring and a fuse state
machine, self-adaptive coordination of a multi-source rule is achieved by relying on a unified health degree evaluation and weight scheduling mechanism, factors such as fairness punishment and priority
crowds are quantified by means of an AI multi-factor scoring model so as to balance fairness and efficiency, and the safety of the
system is improved. According to the method, strategy
recovery compliance and
controllability are ensured through shadow parallel evaluation and full-process log auditing, meanwhile, an existing
system data table and an
SQL are reused, an existing interface is compatible, and on the basis that system robustness is enhanced, decision scientificity is improved, service fairness is guaranteed and supervision compliance is met, hospital deployment cost is reduced.