Medical Provider Data Normalization via Algorithmic Matching
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Solution Overview
Problem
The challenge lies in creating a comprehensive and reliable database of medical service providers from diverse and often unstructured data sources, where information is scattered across various formats and lacks standardization, leading to inconsistencies and reduced confidence in search results.
Innovation Solution
A system and method for transforming input medical service provider data from multiple sources into standardized records by using data type-specific parsers to map, parse, and match data points with authoritative listings, assigning transformation match scores to ensure accurate and reliable data storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data is collected from multiple diverse sources to increase the quantity of service providers in the database, then the coverage and quantity of providers improve, but the data quality and consistency deteriorate due to varying formats and structures
Solution Approach 1:
The system segments the data integration process into distinct components: multiple data source collectors that gather data independently, a normalization engine that processes each source separately, and a unified database that integrates results. This segmentation allows the system to handle diverse data formats from hundreds of sources while maintaining consistent output standards, resolving the contradiction between quantity and quality.
Solution Approach 2:
The patent applies parameter changes by transforming data from various sources into a standardized format with consistent fields and structures. The normalization process changes the parameters of incoming data (formats, schemas, structures) into uniform parameters that the database can process reliably, enabling the system to ingest large quantities of diverse data while maintaining quality standards.
2Reliability
If data is normalized and standardized through complex processing to improve data quality, then the reliability of search results improves, but the complexity of the data processing system increases
Solution Approach 1:
The patent introduces an intermediary normalization layer between diverse data sources and the search database. This intermediary component translates and standardizes data from multiple formats into a unified structure, improving search result reliability without requiring complex processing throughout the entire system. The intermediary handles the complexity locally while presenting a simple interface to the rest of the system.
3Quantity of substance
If comprehensive data from hundreds of sources is integrated to improve coverage, then the quantity and variety of information increase, but the difficulty of data integration and standardization increases
Solution Approach 1:
The system implements a universal data normalization framework that can handle multiple data sources and formats through a single integrated process. The normalization engine is designed with multi-functionality to process diverse input types (structured data, unstructured text, various schemas) through common processing logic, reducing integration complexity while maintaining comprehensive coverage of hundreds of data sources.
Data Source
AI summary
A system is described for rendering normalized medical service provider data records by transforming received input records from a variety of sources into standardized medical service provider data records. The system digests a resource containing multiple data points to render a mapping between individually identifiable parts of the data points and normalized data types handled by data type-specific parsers. A matching operation is performed, on parsed data points, wherein individual ones of the set of parsed data points are matched to an identified entry on an authoritative listing. During the matching an algorithmic match is attempted by assigning a match score based upon a type of transformation on a parsed data point value, of a data point instance of the set of parsed data points, to render a match between the parsed data point value and an entry within an authoritative data listing.