Drug Data Set Analyzer for Clinical Dosing Consistency
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Solution Overview
Problem
Current methods for comparing drug administration data sets between healthcare facilities are time-consuming and prone to errors, often taking several hours to determine if a facility's drug usage is within recognized dosage ranges and consistent with other facilities.
Innovation Solution
A system and method that automates the comparison of a healthcare facility's drug data set with aggregated data from multiple facilities, using a processor to identify matches, differences, and exceptions in dosing units and limits, and provides a reporting mechanism to prompt users for changes or conversions, thereby ensuring clinical appropriateness and consistency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual comparison of drug data sets is performed, then accuracy of clinical appropriateness analysis is improved, but time consumption increases significantly (4-5 hours)
Solution Approach 1:
The patent replaces the manual mechanical comparison process with an automated computer-based system. The processor automatically compares the facility's data set against compiled data sets from other facilities, eliminating the need for manual review while maintaining accuracy through systematic algorithmic comparison of dosing information, units, and limits.
Solution Approach 2:
The system performs self-service by automatically analyzing and comparing data sets without requiring continuous human intervention. The processor independently executes the comparison, identifies discrepancies, and generates reports, allowing the system to serve itself in the data analysis task while reducing time consumption.
2Reliability
If manual comparison of drug data sets is performed, then thoroughness of analysis is improved, but error rate increases due to tediousness
Solution Approach 1:
The patent eliminates human error by replacing manual comparison with automated computational processing. The system systematically compares all data elements including dosing information, units, and limits across multiple facilities, ensuring thoroughness while eliminating the tediousness that causes human errors.
Solution Approach 2:
The system provides feedback by automatically identifying and reporting discrepancies between the facility's data set and other facilities' data sets. This feedback mechanism ensures thorough comparison by highlighting specific areas where differences exist, allowing for targeted review while maintaining high precision through automated detection.
3Loss of time
If automated comparison system is implemented, then time consumption is reduced (from 4-5 hours to minutes), but system complexity increases
Solution Approach 1:
The patent achieves multi-functionality by designing a comprehensive system that handles multiple tasks: comparing data sets, analyzing dosing information, validating units, checking limits, and generating reports. This universal approach consolidates multiple functions into a single system, reducing time consumption while managing complexity through integrated design.
Solution Approach 2:
The system segments the comparison process into distinct functional components: data set loading, parameter comparison (dosage, units, limits), discrepancy identification, and report generation. This segmentation allows the complex task to be broken down into manageable modules, reducing overall system complexity while maintaining automated efficiency.
4Measurement precision
If comprehensive data set comparison is performed, then accuracy of dosing information validation is improved, but processing time increases
Solution Approach 1:
The patent replaces manual validation with automated computational comparison that processes dosing information, units, and limits simultaneously across all data elements. This substitution maintains high accuracy in validation while dramatically increasing processing speed from hours to minutes through systematic algorithmic evaluation.
Solution Approach 2:
The system performs continuous comparison of all data elements without interruption, maintaining steady processing through automated iteration through the data sets. This continuous action ensures comprehensive validation accuracy while optimizing processing speed through efficient sequential evaluation of dosing parameters.
Data Source
AI summary
A system and method for evaluating drug data sets is provided. The system and method includes identifying when entries in a current data set differ from a data set comprising an aggregate of entries for a plurality of institutions, and prompting a user to determine if a change in the current data set should be changed. The system and method also identifies cases where different dose units are used for the same drug. A report is generated noting exceptions.