Vehicle Data Analysis Segmentation for Healthcare Metrics

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Solution Overview

Problem

Existing technologies face challenges in effectively analyzing vehicle data in real-time, particularly in leveraging reference data to provide comprehensive evaluations.

Innovation Solution

An apparatus and method for vehicle data analysis that includes a processor and memory, capable of receiving vehicle data from multiple sources, classifying it into location and passenger groups, and generating reports based on this analysis.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If vehicle data is analyzed in real-time using existing technologies, then data processing can be performed, but the ability to adequately utilize reference data for comprehensive evaluations is insufficient

Engineering Contradiction:
Improvereal-time data analysis capabilityVSAvoidutilization of reference data
Core Design Contradiction:
ProductivityVSLoss of information

Solution Approach 1:

The system performs preliminary classification of vehicle data into location groups and passenger groups before detailed analysis. This preliminary organization enables more effective utilization of reference data during subsequent analysis stages, allowing comprehensive evaluations to be conducted while maintaining real-time processing capabilities.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent segments vehicle data into distinct categories (location groups and passenger groups) to enable targeted analysis of each data type. This segmentation allows the system to adequately utilize reference data specific to each category, improving overall information utilization while maintaining efficient real-time processing.

Inventive Principle:
Principle #1Segmentation

2Loss of information

If vehicle data is classified into multiple groups and analyzed in detail, then comprehensive reports can be generated, but the complexity of the data processing system increases

Engineering Contradiction:
Improvecomprehensive data evaluationVSAvoiddata processing system complexity
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The system divides vehicle data into distinct location groups and passenger groups, enabling comprehensive analysis of each category independently. This segmentation approach achieves thorough data evaluation without requiring a monolithic complex system, as each group can be processed through specialized analysis paths.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent applies partial analysis actions to different data groups based on their specific characteristics. Rather than applying the same comprehensive analysis to all data uniformly, the system performs targeted analysis appropriate to each group type, reducing overall system complexity while maintaining comprehensive evaluation capabilities.

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS20250148808A1Apparatus and method for vehicle data analysis
Publication Date: 2025.05.08 EMERGIP LLC
  • US20250148808A1 patent drawing
  • US20250148808A1 patent drawing
  • US20250148808A1 patent drawing

AI summary

Apparatus and method for vehicle data analysis. The apparatus includes at least a processor and a memory communicatively connected to the at least a processor, wherein the memory includes instructions configuring the at least a processor to receive vehicle data from one or more data sources, wherein the vehicle data includes location information that is received from at least a sensor of the one or more data sources and passenger information, classify the vehicle data into one or more vehicle groups, wherein the one or more vehicle groups includes a location group and passenger group, analyze the location group of the one or more vehicle groups to generate a location list, analyze the one or more vehicle groups to generate a passenger list, and generate a passenger report as a function of the passenger list identifying a health care system metric.