Inverted Index Master Patient Index Duplicate Detection
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Solution Overview
Problem
Current systems for managing master patient indices (MPIs) in healthcare organizations are inefficient and prone to human error, requiring significant resources and being labor-intensive, with manual processes and limited ability to handle growth in patient databases and continuous tuning of duplicate detection processes.
Innovation Solution
The implementation of an MPI database using inverted indices allows for faster and more dynamic probabilistic scoring for duplicate detection, enabling efficient identification, merging, and tracking of duplicate records through a user-friendly and secure interface, with the ability to update scoring formulations as new data is added.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional manual MPI management processes are used, then resource requirements and labor intensity are reduced, but processing efficiency and accuracy improve
Solution Approach 1:
The patent replaces manual mechanical processes with an automated computer-based system that performs duplicate record detection, scoring, and merging operations automatically, eliminating the need for manual intervention while improving processing efficiency and accuracy
Solution Approach 2:
The system enables self-service automated duplicate detection and record merging through probabilistic scoring algorithms that automatically identify and flag duplicate records without requiring manual review, reducing labor intensity while maintaining high accuracy
2Adaptability or versatility
If fixed duplicate detection scoring formulations are used, then system simplicity is maintained, but adaptability to new data formats and continuous tuning capability deteriorate
Solution Approach 1:
The patent implements dynamic scoring formulations that can be continuously adjusted and tuned based on new data patterns and organizational requirements, allowing the system to adapt to changing data formats and improve detection accuracy over time without requiring complete system redesign
Solution Approach 2:
The system allows modification of scoring parameters and formulation weights to optimize duplicate detection performance for different data types and organizational needs, enabling continuous tuning while maintaining a manageable system architecture
3Measurement precision
If comprehensive duplicate detection is performed across the entire MPI database, then detection completeness improves, but processing time and computational resources increase
Solution Approach 1:
The patent segments the duplicate detection process into distinct phases including initial probabilistic screening, scoring calculation, and detailed verification, allowing comprehensive detection while optimizing processing time by handling records at appropriate levels of detail
Solution Approach 2:
The system performs partial comprehensive detection by applying probabilistic scoring to quickly identify likely duplicates for further review, rather than performing exhaustive analysis on all possible record pairs, thereby achieving high detection accuracy with reduced processing time
Data Source
AI summary
A system for managing a master patient index is described. The master patient index database is constructed using inverted indices. The inverted index formulation enables faster, more complete and more flexible duplicate detection as compared to traditional master patient database management techniques. A master patient index management system including a remote user interface configured to leverage the inverted index formulation is described. The user interface includes features for managing records in an MPI database including identifying, efficiently comparing, updating and merging duplicate records across a heterogeneous healthcare organization.