Immunization Data Interface Using Confidence Factors
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Solution Overview
Problem
Conventional immunization computer systems face inefficiencies due to high processing overhead and inadequate intelligence, requiring users to manually search through grid displays, leading to cognitive load and suboptimal performance.
Innovation Solution
A system and method for generating an efficient immunization computer interface that determines the frequency and proportions of immunization data, calculates confidence factors, and generates an interface using a data display control module, optimizing data display and reducing processing overhead by utilizing interface graphics module templates based on calculated proportions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional immunization computer systems use grid displays requiring manual search, then comprehensive data can be displayed, but user cognitive load increases and operation efficiency decreases
Solution Approach 1:
The patent extracts and highlights only the most relevant immunization data elements (such as due dates, overdue status, and critical alerts) from the comprehensive dataset, presenting them in a prioritized list format rather than requiring users to search through complete grid displays. This extraction principle reduces cognitive load while maintaining access to full data when needed.
Solution Approach 2:
The interface applies local quality by providing different display formats for different data elements - critical information receives prominent visual treatment (alerts, warnings, highlighted text) while less critical data uses standard formats. This allows the system to maintain comprehensive data display while optimizing the presentation quality of individual data elements based on their importance.
2Adaptability or versatility
If additional processing features are added to immunization computer systems, then system intelligence improves, but processing overhead increases
Solution Approach 1:
The system performs preliminary actions by pre-calculating and storing confidence factors, data proportions, and priority classifications during data ingestion and update operations. This allows the interface to display intelligent, prioritized information without requiring complex real-time calculations during user interactions, thereby reducing processing overhead during critical display operations.
Solution Approach 2:
The patent creates simplified copies or representations of complex immunization data (such as summary statistics, confidence scores, and priority levels) that can be displayed and processed efficiently. These derived data structures serve as lightweight proxies for the full immunization datasets, enabling intelligent display without proportional processing overhead.
3Loss of information
If users must manually search through array displays, then all data can be accessed, but time efficiency decreases
Solution Approach 1:
The patent segments the comprehensive immunization data into distinct, organized categories (overdue immunizations, upcoming due dates, completed immunizations, alerts) and presents them in separate sections or lists. This segmentation allows users to quickly locate specific information types without searching through a monolithic grid display, while maintaining access to all data through organized navigation.
Solution Approach 2:
The system performs preliminary sorting, filtering, and prioritization of immunization data before presentation to users. Data is pre-organized by urgency, status, and relevance, with critical items appearing first in lists and on prominent display areas. This preliminary organization eliminates the need for manual searching while ensuring all data remains accessible through systematic navigation.
Data Source
AI summary
Technologies and techniques for generating an efficient computer interface for an immunization regimen. A processing apparatus is coupled to a memory storing immunization data itemsets and medical data itemsets, and a data display control module. The processing apparatus is configured to determine a frequency of immunization data and medical data itemsets associated with a rule for an immunization regimen. Proportions of the itemsets for the immunization regimen are calculated, along with a confidence factor that includes an estimate of the probability a rule portion of a rule includes another rule portion. A computer interface is generated via templates that includes immunization regimen that is based on the confidence factor. The immunization regimen data includes expected frequencies of immunization data.


