Flow Graph Form Completion Engine
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Solution Overview
Problem
Current form completion technologies are inefficient due to rigid, rules-based logic that cannot adapt to changes in user data, data formats, or form content, leading to time-consuming and redundant form filling processes.
Innovation Solution
A computer-implemented form completion system that generates a flow graph mapping dependencies between forms, allowing for the identification of required forms and the most efficient order for completion, while minimizing redundant questions and data entry through data re-usability and conversion tools.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If rigid, rules-based logic is used to complete forms, then the form filling process follows a structured approach, but the system cannot adapt to changes in user data, data formats, or form content
Solution Approach 1:
The patent implements a dynamic form completion system that transitions from static, rules-based logic to a flexible, adaptive approach. The system dynamically adjusts its behavior based on user data, data formats, and form content by utilizing machine learning models and natural language processing to interpret and adapt to varying requirements in real-time
Solution Approach 2:
The system changes parameters such as data extraction rules, form mapping relationships, and completion strategies based on the specific characteristics of the input data and target forms. This allows the system to adapt to different data formats and form structures without requiring manual reconfiguration of the entire system
2Productivity
If multiple forms are completed manually, then each form can be filled out individually, but the process becomes time consuming and inefficient due to duplicate work
Solution Approach 1:
The patent merges multiple form completion operations into a single unified process. By identifying common data elements across multiple forms and using intelligent mapping, the system extracts user data once and automatically populates all required forms simultaneously, eliminating redundant data entry and significantly improving productivity
Solution Approach 2:
The system creates a universal data extraction and mapping engine that can handle multiple different form types and structures. This multi-functional approach allows the same core technology to serve various form completion needs, reducing the overall time required to complete multiple diverse forms through a single standardized process
3Ease of operation
If current technology focuses on improving user interface for form filling, then the user experience is enhanced, but the speed and efficiency of the form filling process is not improved
Solution Approach 1:
The patent introduces an intermediary layer between the user interface and the form completion process. This intermediary system automatically extracts data from user inputs, interprets requirements, and maps information to appropriate forms in the background, thereby maintaining an simple user experience while dramatically improving processing speed and efficiency through automated backend operations
Data Source
AI summary
A form completion system provides a form completion engine that increases the efficiency and speed of the form filling process required to apply for services and complete events. The form completion engine may generate a flow graph that identifies a complete list of all forms required to apply for a particular service to eliminate time wasted in preparing partial applications. The flow graph may include links between different forms and each field required to be filled out by a particular entity. The flow graphs may be traversed in order to generate questions that elicit user responses including information required by the forms. The form completion engine may automatically fill in each field of the required forms using user responses to the questions and entity data stored by the form completion system.