Data Capturing and Structuring for Healthcare Records
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Solution Overview
Problem
Healthcare organizations face challenges in managing and exchanging unstructured data, which is often stagnant and unusable by other applications, leading to inefficiencies and security risks due to the need for manual processing and printing/faxing of documents.
Innovation Solution
A method and system for data capturing and structuring that determines a data capture mode to convert non-electronic records into electronic records, collects metadata, and combines it with the electronic data to create structured records, enabling efficient processing and exchange.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If unstructured data is stored in native form, then data storage is simple, but data usability and accessibility deteriorate
Solution Approach 1:
The patent segments unstructured data into structured components by extracting metadata and organizing data elements into standardized formats. This segmentation transforms unusable native data into accessible structured data while maintaining the original information content.
Solution Approach 2:
The patent introduces an intermediary data structuring system that acts as a bridge between native unstructured data and application-ready structured data. This intermediary process includes metadata extraction, data validation, and format transformation without requiring manual intervention.
2Measurement precision
If manual identification and uploading of documents is performed, then data accuracy improves, but time consumption and cost increase
Solution Approach 1:
The patent implements self-service functionality where the system automatically identifies, extracts, and structures data without human intervention. The automated metadata extraction and data validation processes maintain accuracy while eliminating manual labor time and associated costs.
Solution Approach 2:
The patent replaces manual mechanical processes (human identification and uploading) with automated electronic systems including optical character recognition, metadata extraction algorithms, and automated data validation mechanisms that maintain or improve accuracy while dramatically reducing time.
3Reliability
If unstructured files are printed and faxed for exchange, then data security is maintained, but productivity and environmental sustainability deteriorate
Solution Approach 1:
The patent replaces physical mechanical processes (printing and faxing) with electronic data exchange systems. Structured electronic records are transmitted digitally between systems while maintaining security through standardized protocols, eliminating the need for physical document handling.
Solution Approach 2:
The patent changes the state of data from physical analog form (printed documents) to digital structured form. This parameter change enables secure electronic transmission while maintaining data integrity and accessibility, improving productivity without compromising security.
4Quantity of substance
If data is kept in native unstructured form, then storage space is minimized, but data accessibility and interoperability worsen
Solution Approach 1:
The patent creates universally accessible structured data formats that can be used across multiple applications and systems. The standardized data structure enables interoperability while the efficient storage methodology minimizes space requirements compared to storing multiple copies in native formats.
Data Source
AI summary
A method for a data capturing and structuring includes determining at least one data capture mode for processing a non-electronic data record into an electronic data record and selecting a record owner having a plurality of existing data records to be associated with the electronic data record. The method also includes capturing the non-electronic data record into the electronic data record and collecting metadata from data associated with the record owner and the electronic data record and data generated during the capturing. Further, the method includes creating structured data records by combining the electronic data record and the metadata and exporting the structured data records.


