Adverse drug reaction (ADR) refers to the harmful reaction that occurs under normal usage and dosage when using a qualified drug, which is unrelated to the purpose of the drug. These reactions often vary depending on the type of drug, how it is used, individual differences, and other factors, which can lead to physical discomfort and worsening of the patient's condition.In order to ensure the safety of patients' medication and discover the signs of adverse drug reactions in a timely manner, it is urgent to have an intelligent monitoring system to actively monitor and warn to assist medical personnel in discovering adverse reactions, improving the level of drug safety, and protecting people's health.
The ADR monitoring engine actively obtains test data, medical record content (expandable), and other clinical data every day, automatically determines whether the patient has signs of adverse reactions according to the content of the knowledge base, records the data that triggers the rule, and generates a report for the pharmacist to manually judge. The engine can intelligently determine the sequence of indicators and doctor's orders, as well as the monitoring range, which greatly reduces the false positive and improves the work efficiency of medical staff.
Adverse drug reaction (ADR) refers to the harmful reactions that occur under the normal usage and dosage of qualified drugs that are unrelated to the purpose of the drug, excluding adverse medical consequences caused by off-label drug use and drug quality problems.
The ADR intelligent monitoring system is an intelligent system for monitoring adverse drug reactions (ADRs). The system monitors for possible adverse events by collecting and analyzing data from the medical field, including medical records, prescriptions, laboratory test results, and other information.
The advantage of the ADR intelligent monitoring system is that it can quickly and accurately identify potential adverse reaction events and take corresponding measures in time, so as to reduce the occurrence of drug accidents and ensure the safety of drug use by the public. The system is also able to provide comprehensive drug safety information to help doctors make more accurate diagnoses and decisions.
ADR intelligent monitoring systems usually include modules such as data acquisition, data cleaning, data mining and analysis. Through artificial intelligence technologies such as natural language processing and machine learning, the system can automatically extract and analyze key information in the data to discover potential adverse reaction patterns. These models can be used for early warning, ** and prevention of adverse events.
In addition to monitoring adverse drug reactions, ADR intelligent monitoring systems can also be used to monitor medical device adverse events, vaccination adverse reactions and other medical safety issues. The application range of the system is constantly expanding, providing important technical support for safety monitoring and risk control.
In general, the ADR intelligent monitoring system is an efficient and accurate medical safety monitoring tool, which helps to improve the level of drug use and medical safety of the public. With the continuous development of artificial intelligence technology, the performance and application range of the system will also be continuously optimized and expanded.
Actively monitor patients' specific clinical indicators, such as testing abnormal indicators to achieve timely early warning.
Referring to the previous experience of clinical adverse reactions in the real world, as well as domestic and foreign guidelines, a knowledge base of adverse reactions is formed, and the structured knowledge base of the intelligent engine actively accesses the clinical characteristics of patients to achieve active prediction of adverse reactions.
Actively monitor the clinical treatment behavior of patients, reason about the potential adverse vital signs of patients, and deeply explore patients with potential adverse reactions.
The ADR adverse reaction monitoring system consists of three major functional modules: system management, rule management, and monitoring report. It is convenient for pharmacists to maintain the knowledge base of monitoring rules and the database of monitoring topics, and improve the efficiency of clinical work.
1.The system supports the logic of maintenance indicators: greater than, less than, within range, outside range, difference greater than, difference less than, and difference within range.
2.If the maintenance difference is of the type, you need to maintain the monitoring interval to intelligently identify the monitoring range and reduce the monitoring positive rate.
3.Monitoring indicators can be expanded according to needs, such as examination indicators, medical record indicators, physical sign indicators, etc.
1.Topic management, which describes the logical collection of rules, such as liver theme and kidney theme, represents the embodiment of the corresponding disease after the rule is triggered.
2.The system supports the maintenance of three subject types: rules (mainly based on indicators), drugs (triggered by drugs), and rule drugs (judging indicators and drugs at the same time, as well as time relationships).
3.If you maintain the regular drug type, you need to maintain the monitoring interval, the monitoring interval between the drug and the index.
Based on the results of the monitoring engine, a list of suspicious patients is displayed, and the hit subject items and other information are reflected in the report.
The details of the report include the basic information of the patient, the monitoring results, the index data, the doctor's order data, and the trend chart of the hit index, as well as the usage cycle of the doctor's order, to assist the pharmacist to make accurate judgments.
The system provides a third-party inspection judgment interface (HTTP) to determine whether the prescribed drug has been sent for testing, and let the doctor fill in the reason for the drug (prevention, ** to ensure the standardization of the use of antimicrobial drugs.
Technical Architecture: B S
Development language: j**a
Development Tools: IntelliJ Idea
Front-end framework: vue
Backend framework: Springboot
Database: MySQL