The invention relates to the technical field of
critical index monitoring methods, in particular to an intelligent
critical index monitoring method and
system based on clinical data. According to the method, a standardized data packet is constructed by collecting vital sign data of a patient, an inspection index group,
drug intervention parameters and individual characteristics of the patient; calculating an individualized
drug metabolism correction coefficient based on the
liver and kidney function state and a real-time
creatinine value, and dynamically generating a
drug influence factor in combination with the flow rate of an analgesia pump; scene classification is carried out according to the
medicine influence factor value and the
blood pressure change trend, and the alarm weight of each monitoring index is dynamically adjusted; and finally, accurate
risk assessment and graded early warning are realized through multi-index fusion analysis. The
system comprises a
data acquisition function module, a dynamic analysis function module, a
weight adjustment function module and an early warning
decision function module. The clinical problem that a traditional
monitoring system is insufficient in sensitivity to progressive deterioration in a drug interference environment is effectively solved, and a more reliable
safety monitoring scheme is provided for postoperative high-risk patients.