COMPUTATIONAL MEDICAL TREATMENT PLAN METHOD AND SYSTEM WITH MASS MEDICAL ANALYSIS Russian patent published in 2018 - IPC G06F19/00 

FIELD: medicine.

SUBSTANCE: group of inventions refers to medicine, namely, to means for analyzing voluminous electronic medical records or an electronic medical history, and can be used to optimize the patient's treatment plan and choosing treatment course. Method includes storing a set of objective medical data for a plurality of patients, where the objective medical data of each patient is structured in the form of multiple elements for use in the storage of objective medical data. Besides, the objective medical data of each patient contain the patient's medical history. Specified set of objective medical data of patients is grouped to classify a set of objective medical data by subgroups. Besides, the classification step includes at least one level of classification based on the parameters of each patient, his disease, the way of disease treatment that the patient has passed, and the result of this treatment, and also an iterative repetition of this procedure once for each subgroup at each level, until a set of subgroups that are smaller than the previously formed subgroups is identified, besides the patients of a smaller subgroups have similar clinically relevant parameters and similar treatment outcomes. Properties of patient groups are calculated, including their expected clinical outcome for a particular treatment, based on known results of patients who had previously passed the same treatment. At the same time, the mentioned patients have general demographic, genetic, anamnestic and diagnostic parameters. Get a new patient's disease template with the objective medical data of the new patient, based on the disease of this patient. Moreover, the template of the new patient includes, at least, the clinically relevant parameters of the new patient and at least one disease of the new patient. Correlate the parameters and disease of the new patient with the corresponding parameters and disease from the ungrouped subgroups to choose the most similar and determine the likely outcomes of possible treatment options for the new patient based on the results of treatment for patients in the relevant subgroups. Course selection system comprises modules for performing a method that comprises the steps of storing a set of objective medical data for a plurality of patients, where the objective medical data of each patient is structured in the form of multiple elements for use in the storage of objective medical data. Obtain an individual template of the patient with objective medical data of the patient based on the patient's disease. Unbiased objective medical data of the patient with a set of objective medical data to classify a set of objective medical data by subgroups. At that the classification stage includes one or more levels of classification, starting with the first set of parameters, after which additional sets of parameters go, and continuing this process until the patient's parameters and disease correspond to the ungrouped subgroups. Then the probable results of possible treatment options for the patient are determined based on the results of treatment for patients in these subgroups. Also, the system comprises an input module configured to receive a disease pattern of a new patient with objective new patient's medical data based on the patient's disease, at that the template of the new patient includes at least clinically relevant parameters of the new patient and at least one disease of the new patient; and a matching module that is connectable to the ungrouping module and the input module and is configured to match the parameters and disease of the new patient with the corresponding parameters and disease in the ungrouped subgroups to select the most similar subgroups and determine the likely outcomes of possible treatment options for the new patient based on results of treatment for patients in the relevant subgroups.

EFFECT: group of inventions allows to optimize the treatment of patients and the formation of treatment plans.

68 cl, 103 dwg, 2 ex