Unitary Lexicon Data Structure for Automated Input
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Solution Overview
Problem
Current GUI-based software applications face challenges in inputting complex or voluminous data, which are often handled as non-data information, limiting automation and increasing administrative burdens, especially in industries like healthcare and staffing, due to the lack of suitable data input controls for handling lexicon-based data.
Innovation Solution
A system utilizing a set of screen controls and unitary data structure records to input and manage data as related lexicon terms, allowing for the automation of business processes and reducing development costs by leveraging computerized lexicons instead of traditional software logic.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If traditional GUI screen controls are used to input data, then the interface is simple and familiar, but complex or voluminous data must be input as non-data information in text boxes, limiting automation
Solution Approach 1:
The patent segments data into structured components using unitary data structure records that organize information into discrete, machine-processable fields. Each record contains specific data elements (e.g., patient demographics, diagnosis codes, procedures) that can be individually processed, replacing the need for unstructured text boxes while maintaining ease of input through standardized formats.
Solution Approach 2:
The patent introduces an intermediary layer between user input and data processing: a lexicon-based translation system that converts natural language or semi-structured input into standardized machine-readable codes. This intermediary enables automated processing while keeping the user interface simple, as users can input data in familiar formats that are then automatically transformed into structured records.
2Adaptability or versatility
If text boxes are used for non-data information, then any type of information can be input, but the data cannot be organized into pieces for automated processing
Solution Approach 1:
The patent changes the parameter of data structure from unstructured text to structured records with defined fields and data types. Each unitary data structure record specifies parameters such as required fields, data formats, and validation rules, enabling automated processing while maintaining flexibility through configurable schemas that can adapt to different data types and requirements.
3Reliability
If every data item requires a dedicated field on a screen, then data organization is clear, but many screens are needed for enterprise applications, increasing navigation time
Solution Approach 1:
The patent merges multiple data fields into a single unitary data structure record that can be processed and displayed together. This consolidation allows related data elements (e.g., all patient information for a billing cycle) to be organized in one record structure, reducing the need for multiple screens while maintaining clear organization through the record's internal field structure.
Solution Approach 2:
The patent creates a universal data structure framework where a single record type can represent multiple data configurations. The unitary data structure record serves multiple functions: it can represent different data entities (patients, procedures, diagnoses), support various input formats, and enable different processing operations, eliminating the need for dedicated screens for each data scenario.
4Measurement precision
If manual review of LCD codes is required, then billing accuracy is improved, but administrative overhead costs increase
Solution Approach 1:
The patent implements self-service through automated validation and processing of billing codes. The system automatically validates LCD codes against the structured data in the unitary records, checks for compliance with billing regulations, and processes submissions without requiring manual review. This maintains billing accuracy through systematic validation rules while eliminating the need for manual administrative oversight.
Data Source
AI summary
There is disclosed a method and system to operate a software application entirely based on a unitary lexicon data structure (LDS) comprising a plurality of data field definition blocks stored in memory, with one LDS record for each lexicon term. The LDS is used to develop computerized lexicons and deploy them for use to operate a lexical application with all data displayed for viewing and input by the user on a single screen to which all desired data items come, rather than the user navigating to fields statically located on a multitude of screens. Each LDS record contains a whole set of data in memory, with data duplicated across LDS records in order to bypass the need for the application to interoperate with a database to input and display related data. There is a graphical icon also of a unitary format into which all data is input and displayed. Input data items are related to one another in the icon, regardless of whether a relational database is configured to interoperate with the system.