Training Assignment Tool Duplicate Record Elimination

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Solution Overview

Problem

Conventional methods for assigning training courses to workers are inefficient due to duplicate records, manual data organization, and frequent changes in training class specifics, leading to impractical database maintenance and increased processing power requirements.

Innovation Solution

A software and hardware facility that detects and removes duplicate records, recommends training classes based on worker specifics, and updates training class data, allowing for efficient assignment and management of training courses while reducing processing power and memory consumption.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual data organization and duplicate removal are performed, then data accuracy is improved, but time consumption and processing power requirements increase

Engineering Contradiction:
Improvedata accuracyVSAvoidtime consumption
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system automatically detects and removes duplicate worker records without requiring manual intervention. The duplicate detection algorithm autonomously compares worker records, identifies duplicates based on matching criteria, and removes them automatically, eliminating the need for coordinators to manually review and clean data while maintaining high data accuracy.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical data organization processes with automated computer-based algorithms. The system uses computational methods to detect, compare, and remove duplicate records, substituting human coordination and manual data cleaning with automated electronic processing that achieves the same accuracy faster.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If manual tracking of training classes is performed, then assignment accuracy is improved, but device complexity and processing power requirements increase

Engineering Contradiction:
Improveassignment accuracyVSAvoidprocessing power requirements
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system automatically tracks which training classes have been assigned to each worker by storing this information in the worker records database. The automated tracking mechanism eliminates the need for coordinators to manually monitor and track training assignments, reducing processing power requirements while maintaining accurate record-keeping.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The worker records database serves multiple functions: it stores worker information, tracks training class assignments, and provides data for duplicate detection. This multi-functional database structure eliminates the need for separate tracking systems, reducing overall device complexity and processing power requirements while maintaining assignment accuracy.

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Reliability

If frequent updates to training class specifics are performed, then data currency is improved, but loss of time and processing power increase

Engineering Contradiction:
Improvedata currencyVSAvoidtime for maintenance
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system is designed to automatically detect and remove duplicate records before they affect training class assignments. By performing duplicate detection as a preliminary action during data import or record creation, the system prevents duplicate-related issues from arising later, reducing the time needed for maintenance while ensuring data currency.

Inventive Principle:
Principle #10Preliminary action

4Quantity of substance

If duplicate records are not removed, then data volume is maintained, but productivity and efficiency decrease

Engineering Contradiction:
Improvedata volumeVSAvoidtraining assignment efficiency
Core Design Contradiction:
Quantity of substanceVSProductivity

Solution Approach 1:

The system automatically identifies and removes duplicate worker records without requiring manual intervention. The duplicate detection algorithm autonomously compares worker records, identifies duplicates based on matching criteria, and removes them automatically, eliminating the need for coordinators to manually review and clean data while maintaining high data accuracy.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS11995584B2Training assignment tool
Publication Date: 2024.05.28 PROVIDENCE ST JOSEPH HEALTH
  • US11995584B2 patent drawing
  • US11995584B2 patent drawing
  • US11995584B2 patent drawing

AI summary

A facility for organizing worker records is configured to assist users in assigning training classes to the workers. The facility obtains new worker records identifying one or more workers and accesses existing worker records from a repository of worker records. The facility merges the new worker records and the existing worker records, and identifies duplicate records within the merged records. The facility removes the duplicate record from the merged records. The facility presents visual information describing one or more training classes which may be assigned to the one or more workers. The facility obtains user input specifying that at least one of the one or more training classes be assigned to at least one of the one or more workers.