The present application discloses a method and
system for individualized analgesia evaluation of
opioid drugs based on
gene polymorphism, which relates to the field of digital medical technology. An evidence-based evaluation is carried out on SNP loci related to
opioid analgesia to establish a recommendation strength standard; SNP loci related to the
analgesic effect of
opioid drugs detected in all databases and samples are screened, and pain influence parameters of SNPs in different levels are respectively set according to the classification levels of the recommendation strength standard; a
drug dosage prediction scheme is established according to the pain influence parameters and the number of SNP variations, and the
drug dosage prediction scheme is adjusted based on the
analgesic attribute characteristics corresponding to the patient to be evaluated determined by the overall
score of the patient to be evaluated under different
clinical variables. By incorporating the individualized information of the patient and the
pain assessment data and adjusting the
drug dosage according to the SNP locus variation situation, the clinical medication decision-making of opioid
analgesic drugs based on
gene polymorphism is realized, and intelligent medication decision support for drug dosage can be provided according to the detection results.