Flat Field Record Management System for Healthcare Data Adaptability
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Solution Overview
Problem
Existing record storage systems in healthcare and other organizations face challenges due to complex architectures that are difficult to modify or adapt to individual needs, leading to inefficiencies in data access and system updates, particularly in the healthcare field where multiple systems are used to track patient information.
Innovation Solution
A Record Management System (RMS) utilizing three delimiter-based storage algorithms to construct a flat field relational database, enabling flexible data storage and retrieval through Natural Language Programming tools, which allows for the integration of legacy systems and automated data-driven functions without requiring expert programming skills.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional structured functionality is used in information technology systems, then system stability is maintained, but adaptability to individual user needs and new requirements deteriorates
Solution Approach 1:
The patent segments the information system into modular components including user profiles, capability definitions, and configurable parameters. Each module can be independently modified to meet individual user needs without restructuring the entire system, thereby improving adaptability while maintaining manageable complexity through clear separation of concerns.
Solution Approach 2:
The system implements dynamic configuration capabilities where user interfaces, data fields, and operational parameters can be modified in real-time based on user requirements and organizational needs. This dynamic approach allows the system to adapt to changing requirements without requiring complex structural changes or professional programming intervention.
2Adaptability or versatility
If multiple legacy systems are operated to track different types of information, then comprehensive data coverage is achieved, but system complexity and difficulty of integration increases
Solution Approach 1:
The patent implements a universal data model and standardized interface framework that can accommodate multiple types of information and legacy systems through a single unified architecture. This universal approach enables comprehensive data coverage across healthcare, legal, and other organizational contexts without requiring separate specialized systems for each data type.
Solution Approach 2:
The system introduces intermediary components including standardized data translation layers and integration APIs that mediate between diverse legacy systems and the core platform. These intermediaries handle data format conversion and protocol adaptation, enabling seamless integration of multiple legacy systems while shielding users from the underlying integration complexity.
3Productivity
If extensive revisions using professional programmers are made to update systems, then system functionality is improved, but update time and resource requirements increase
Solution Approach 1:
The patent empowers end-users and local site personnel with self-service capabilities to configure and update system parameters, user interfaces, and operational settings without requiring professional programming assistance. This self-service approach enables rapid local adaptations and continuous system improvement while eliminating the time loss associated with scheduling and executing professional programming revisions.
Solution Approach 2:
The system incorporates preliminary configuration templates and pre-built capability frameworks that anticipate common update scenarios. These pre-prepared configurations allow users to implement system updates and adaptations by simply selecting and customizing from predefined options, dramatically reducing update time and eliminating the need for extensive programming revisions.
4Ease of operation
If structured functionality with fixed architecture is used, then system reliability is maintained, but ease of modification for local site needs deteriorates
Solution Approach 1:
The patent segments the system architecture into stable core components and flexible configuration layers. The core architecture maintains fixed, reliable structures for data storage and processing, while segmented configuration modules allow easy modification of user interfaces, validation rules, and operational parameters to meet local site needs without compromising core system reliability.
Solution Approach 2:
The system implements local quality by allowing different configuration settings and operational parameters to be applied at local site levels while maintaining consistent core functionality. This enables each local site to customize the system for its specific needs through localized configuration files and parameters, making the system easy to modify locally while preserving the reliability of the centralized core architecture.
Data Source
AI summary
A computer operable Record Management System that cultivates individual and facility best practice in operative connection with a single storage field and three non-correlative sets of lexicon delimiters that index, label and linear dispose each element of plain text; 1st and 3rd sets structure attributes and records; and the 2nd matrices of Y.X arrays with linear indexed delimiters establishing numeric referenced RMS linkage that control function specific arrays, 1st and 3rd structures. Mirrored arrays enable structure-stored middleware and RMS linkage that recruit non-RMS services, import data automating functions and establish confidentiality files. Plain text compilers transform knowledge into systematized RMS programmable records that include a facility record of areas that connect workstation records that connect project records that connect records of function that code data and actions for automation, automate reports and outcomes each application with staged analytics validating automation and evolving new best practice for each individual and facility.