Smart Documentation Interface for Real-Time Keyword Search
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing documentation systems provide limited sorting options, inefficient view options, and require precise matching for search terms, leading to compromised time, accuracy, and user satisfaction when dealing with large volumes of documents, such as insurance claims.
Innovation Solution
A smart documentation system with a graphical user interface featuring separate portions for viewing and adding entries, automatic keyword association, and intelligent search filtering, allowing for efficient entry creation and retrieval based on user preferences and criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of substance
If traditional documentation systems store all template portions including incomplete fields, then memory is allocated for every field, but memory is wasted on incomplete fields that do not provide information
Solution Approach 1:
The system extracts and stores only the completed portions of template fields, separating useful information from incomplete or empty fields. This selective extraction eliminates memory waste on non-informative data while preserving all meaningful content.
Solution Approach 2:
The storage parameter changes from storing all template fields regardless of completion status to storing only completed fields. This parameter change optimizes memory utilization by dynamically adjusting what data is retained based on completion status.
2Measurement precision
If precise matching is required for search terms, then search accuracy is maintained, but search efficiency decreases and user satisfaction is compromised
Solution Approach 1:
The system performs preliminary actions by pre-processing and indexing documentation content into structured data models before search operations. This preliminary structuring enables faster retrieval while maintaining accuracy, as the data is organized for efficient querying.
Solution Approach 2:
The system replaces traditional mechanical string-matching search mechanisms with intelligent data model-based retrieval. This substitution allows for more efficient search operations that can handle partial matches and structured queries without sacrificing precision.
3Device complexity
If all entries are treated the same regardless of generation method, then system simplicity is maintained, but entry differentiation and filtering capabilities are limited
Solution Approach 1:
The system applies local quality by assigning different properties and metadata to entries based on their generation method (system-generated vs. manually created). This differentiation is applied locally to specific entry attributes, allowing for targeted filtering and sorting while maintaining overall system structure.
Solution Approach 2:
The system introduces dynamic characteristics to entries by tagging them with generation source information. This dynamic metadata allows the system to adaptively filter, sort, and manage entries based on their origin, providing versatility without fundamentally changing the core entry structure.
4Quantity of substance
If documentation systems handle large volumes of documents, then comprehensive coverage is achieved, but time consumption and processing overhead increase
Solution Approach 1:
The system segments documentation into structured data models with distinct fields and properties. This segmentation organizes large volumes of documentation into manageable, queryable units, reducing processing time while maintaining comprehensive coverage of all documentation content.
Solution Approach 2:
The system performs preliminary processing to convert unstructured documentation into structured data models before storage. This advance structuring enables rapid retrieval and processing of large document volumes, significantly reducing time consumption during search and analysis operations.
Data Source
AI summary
Methods and systems described herein can provide a computing device configured to display on a display screen of the computing device a first window listing a set of entries and a second window that can add entries directly into the set of entries and that can search for entries having selected features. The second window can dynamically display one or more keywords related to an entry as the entry is being created. The keywords can be determined as the entry is created and can be associated with the entry as the entry is added to the set of entries. The second window can receive a search request with the keywords and in response, cause the entries associated with the keywords to be displayed in the first window.