Automated Benefit Manager Data Analysis Platform

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Solution Overview

Problem

Benefit manager organizations, such as pharmacy benefit managers, lack efficient and accurate computer-based analysis techniques to identify deficiencies in their processes and operations, making it difficult to compare performance to industry standards or benchmarks.

Innovation Solution

A recommendation platform that receives data from benefit manager organizations, processes it using techniques like natural language processing, and maps it to an operating model to analyze performance, identify deficiencies, and suggest actions to improve efficiency and accuracy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If traditional manual analysis methods are used to analyze process and operations data, then analysis accuracy may be maintained through human expertise, but processing efficiency and productivity are severely limited

Engineering Contradiction:

Improvedata analysis efficiencyVSAvoiddeficiency identification accuracy

Core Design Contradiction:

ProductivityVSMeasurement precision

Solution Approach 1:

The patent replaces manual mechanical analysis methods with automated computer-based processing systems that use natural language processing and speech-to-text conversion to analyze organizational data, thereby dramatically improving productivity while maintaining or enhancing analysis accuracy through systematic computational approaches

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces an intermediary processing layer that converts various data formats (including audio speech-to-text) into standardized formats before analysis, enabling efficient automated processing while preserving the nuanced information needed for accurate deficiency identification

Inventive Principle:

Principle #24Intermediary (Mediator)

2Measurement precision

If comprehensive data processing and analysis techniques are implemented, then deficiency identification accuracy is improved, but computational resource consumption and system complexity increase

Engineering Contradiction:

Improvedeficiency identification accuracyVSAvoidprocessing system complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments the complex analysis task into distinct modular components: data reception modules, speech-to-text conversion modules, natural language processing modules, and deficiency identification modules. This modular architecture improves accuracy through specialized processing at each stage while managing overall system complexity through clear separation of functions

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent creates a universal processing platform that handles multiple data types (structured and unstructured, including audio conversions) through standardized natural language processing techniques, reducing the need for separate specialized systems and thereby managing complexity while maintaining comprehensive analysis capability

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Loss of time

If manual processes are used for data analysis and performance comparison, then implementation simplicity is maintained, but time consumption and operational efficiency deteriorate

Engineering Contradiction:

Improveanalysis timeVSAvoidsystem implementation simplicity

Core Design Contradiction:

Loss of timeVSEase of operation

Solution Approach 1:

The patent performs preliminary speech-to-text conversion and natural language processing on data before the actual deficiency identification analysis, preparing standardized input that accelerates the subsequent analysis process and reduces overall time consumption while maintaining ease of use through automated preprocessing

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system performs self-service automated analysis without requiring manual intervention at each processing stage, with the computer system autonomously converting speech to text, processing natural language, and identifying deficiencies, thereby dramatically reducing analysis time while presenting a simple user interface that maintains ease of operation

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS11257012B1Automatic analysis of process and/or operations data related to a benefit manager organization

Publication Date: 2022.02.22 ACCENTURE GLOBAL SOLUTIONS LTD

AI summary

A device may receive data associated with a benefit manager organization. The data may relate to a performance of the benefit manager organization and hardware resources associated with the benefit manager organization. The device may process the data using a technique after receiving the data. The device may map the data to a benefit manager operating model based on processing the data. The benefit manager operating model may identify a functional area or a sub-area of another benefit manager organization. The device may perform an analysis of the data based on mapping the data to the benefit manager operating model. The device may identify a deficiency related to the performance of the benefit manager organization. The device may perform an action to positively impact the performance of the benefit manager organization based on identifying the deficiency. The action may reduce the deficiency.