Drug Interaction Checking via Odds Ratio Analysis
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Solution Overview
Problem
Existing methods are inefficient in quickly identifying high-risk drug combinations that may lead to adverse reactions, as they require checking numerous drug interactions manually.
Innovation Solution
An electronic device uses a latent Dirichlet allocation model to analyze medical records, generating drug combination sets and calculating odds ratios and fractions to identify drug combinations with high interaction risks, distinguishing between drug interactions and individual drug risks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual checking of drug combinations is performed, then interaction risks can be identified, but the process is inefficient and time-consuming due to the huge number of drug combinations
Solution Approach 1:
The patent segments the drug combination checking process into multiple independent components: extracting drug information from medical records, calculating odds ratios for individual drugs, calculating interaction terms, and aggregating results. This segmentation allows parallel processing and reduces the time required to check all possible drug combinations manually.
Solution Approach 2:
The patent introduces an intermediary computational model that processes medical record data and automatically calculates interaction risks. The model acts as a mediator between raw medical records and final risk assessments, automating the complex calculations and eliminating manual checking of all drug combinations.
2Reliability
If all drug combinations are checked to ensure safety, then patient safety is improved, but the complexity of the checking process increases significantly
Solution Approach 1:
The patent applies local quality by focusing the analysis on specific drug pairs and their interaction terms rather than treating all drug combinations uniformly. The model calculates odds ratios and interaction terms selectively for relevant drug pairs, reducing overall system complexity while maintaining comprehensive safety coverage.
Solution Approach 2:
The patent changes the parameters of the analysis by transforming raw medical record data into standardized odds ratios and interaction term calculations. This parameter transformation simplifies the checking process and reduces complexity while maintaining reliable safety assessments through statistical modeling.
3Measurement precision
If individual drug risks are analyzed separately, then drug-specific safety can be assessed, but interaction effects between drugs may be missed
Solution Approach 1:
The patent merges individual drug risk assessments with interaction effect analyses into a unified evaluation framework. The model combines odds ratios for individual drugs with interaction term calculations, allowing simultaneous assessment of both individual drug safety and drug-drug interaction effects, thereby preventing missed harmful interactions.
Data Source
AI summary
A method and an electronic device of checking drug interaction are provided. The method includes: generating a first odds ratio (OR) between a first drug combination and a hospitalization event, a second OR between a second drug combination and the hospitalization event, and a third OR between a third drug combination and the hospitalization event according to a plurality of medical records; generating a first fraction corresponding to a first drug according to the second OR; generating a second fraction corresponding to a second drug according to the third OR; and outputting the first drug combination in response to the first OR being greater than a first threshold, a sum of the first fraction and the second fraction being greater than a second threshold, and a quotient of the first fraction and the second fraction being less than a third threshold.