Medication Secondary Effect Identification System
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Solution Overview
Problem
Identifying secondary effects of medications after clinical trials is complex and challenging due to the difficulty in establishing correlations between medications and patient conditions, especially when symptoms are no longer tightly controlled, and relevant data are dispersed across disparate sources.
Innovation Solution
A computer-implemented system that retrieves records from multiple servers, extracts machine-readable content, aggregates data using markup language files, determines the level of evidence, and generates index files to identify and rank medication-related secondary effects, providing a searchable database for healthcare providers and regulatory authorities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If data are collected from multiple disparate sources to identify secondary effects, then the completeness of information is improved, but the complexity of data aggregation and normalization increases
Solution Approach 1:
The system segments the complex task of secondary effect identification into distinct functional modules: a data retrieval component that collects records from multiple sources, a data processing component that extracts and normalizes information, and a database component that stores structured data. This segmentation allows each module to handle specific aspects of data aggregation independently, reducing overall system complexity while maintaining information completeness.
Solution Approach 2:
The patent introduces an intermediary data processing layer that acts as a mediator between disparate data sources and the final analysis system. This intermediary component standardizes and normalizes data from various sources before integration, effectively managing the complexity of aggregation while ensuring complete information capture across all sources.
2Reliability
If comprehensive monitoring of secondary effects is implemented after clinical trials, then the reliability of safety assessment is improved, but the cost and complexity of data collection increase
Solution Approach 1:
The system employs a universal data processing framework that can handle multiple types of data sources (clinical databases, patient records, literature) through a single standardized interface. This multi-functional approach enables comprehensive safety monitoring across diverse data types without requiring separate complex collection systems for each source, thereby maintaining high reliability while controlling complexity.
Solution Approach 2:
The patent transforms unstructured or semi-structured data from various sources into standardized structured formats by changing key parameters such as data format, classification schemes, and normalization standards. This parameter transformation enables reliable safety assessment across diverse sources while simplifying the data collection process through automated standardization.
3Ease of operation
If data are normalized and aggregated into a structured database, then the ease of information retrieval is improved, but the initial processing time and computational resources increase
Solution Approach 1:
The system performs preliminary normalization and structuring of data during the initial data collection phase, before queries are executed. By pre-processing and organizing data into a standardized database structure in advance, the system enables rapid information retrieval during clinical use without requiring complex processing at query time, thus sacrificing minimal initial time for significant operational efficiency gains.
Solution Approach 2:
The patent combines multiple data processing operations (extraction, normalization, validation, and structuring) into a single integrated database population process. This merging of operations allows comprehensive data preparation to be performed once during database creation, after which all subsequent queries benefit from the pre-processed structure without incurring repeated processing delays.
Data Source
AI summary
A system for identifying secondary effects of medications. The system may include one or more processors and a storage medium. The storage medium may stores instructions that configure the processors to perform operations. As configured, the processors may retrieve records associated with medications from servers. The processors may also extract machine readable content from records and identify portions that are associated with secondary effects of medications. Further, the processors may aggregate identified portions in a database, determine a level of evidence for records based on sources, associate records with metadata indicating the level of evidence; and generate index files mapping the markup language files, the metadata tags, and the medications. Moreover, the processor may receive search queries from a client, identify a subset of the records associated with medications in the query using index files, and transmit the identified subset ranked according to the level of evidence.