Electronic medical record big data-based clinical reasonable drug use risk assessment method

Abstract

The invention discloses a clinical rational drug use risk assessment method based on big data of electronic medical records, which comprises the following steps: S1 extracting rational drug use records and wrong drug use events from electronic medical record data, according to the patient's physiological characteristics, disease diagnosis results, drug combination Based on factors such as drug use, automatically establish a risk assessment model for rational drug use such as drug dosage, drug interactions, and drug contraindications; S2 extracts corresponding patient physiological characteristics, disease diagnosis results, drug combination conditions, etc. from the new electronic medical records Factors, using the risk assessment model for rational drug use, to obtain individual drug risk assessment, to provide decision-making basis for clinical drug affairs management. The clinical rational drug use risk evaluation method of the present invention can automatically evaluate the clinical drug use risk, and the result is accurate and effective, and can provide decision-making basis for the practice of clinical rational drug use.

Description

technical field [0001] The invention belongs to the field of clinical drug affairs management, and in particular relates to a risk assessment method for clinical rational drug use based on electronic medical record big data. Background technique [0002] With the rapid development of medical informatization in my country, the hospital information management system has been continuously improved, and a large amount of electronic medical record data about patients has been accumulated. The big data of electronic medical records contains detailed records of the diagnosis and treatment process of patients in the hospital, which is of great significance for monitoring and evaluating the diagnosis and medication level of medical institutions. [0003] Rational drug use refers to the safe, effective and economical use of drugs. Clinically, based on the systematic knowledge of drugs and diseases, the best drugs and their preparations should be selected according to the type of dise...

AI Technical Summary

Problems solved by technology

On the one hand, the establishment and update of the rational drug use standard database mostly relies on manual editing of drug-related literature, which consumes a lot of manpower and material resources. In particular, for newly marketed drugs, there are often missing data and update lags. problems, making it difficult to establish accurate and effective medication review rules; on the other hand, the rule-based medication review module is not highly intelligent, and the review rules lack flexibility, and cannot comprehensively consider the patient's physiological condition, disease diagnosis, and combined drug use. Rational drug use evaluation, leading to a high proportion of invalid warnings

The above two problems greatly limit the role of traditional rational drug use decision support system in clinical pharmaceutical affairs management

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