Wireless Earpiece Sensor Integration for Contextual EHR Population

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Solution Overview

Problem

Biometric data collected by wireless earpieces is often isolated and lacks sufficient context for effective utilization in diagnosing or monitoring individuals, and existing systems fail to integrate this data seamlessly with electronic health records.

Innovation Solution

Wireless earpieces equipped with biometric sensors, inertial sensors, and environmental sensors that analyze and generate electronic health records by correlating user data with identifying information and environmental context, allowing for comprehensive data integration and population of EHRs.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If biometric data is collected by wireless earpieces, then monitoring capability is improved, but data utility deteriorates due to isolation and lack of context

Engineering Contradiction:
Improvemonitoring capabilityVSAvoiddata utility
Core Design Contradiction:
ReliabilityVSLoss of information

Solution Approach 1:

The patent merges biometric data from wireless earpieces with environmental data and electronic health records into a unified, contextualized data structure. This integration transforms isolated biometric measurements into meaningful health insights by combining multiple data sources, thereby resolving the contradiction between monitoring capability and data utility.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent introduces environmental data and EHR integration as intermediary layers between raw biometric sensor data and clinical decision-making. This intermediary structure adds contextual information that bridges the gap between isolated measurements and useful medical insights, enhancing data utility without compromising monitoring reliability.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Ease of manufacture

If biometric data is stored in isolated data silos, then data collection is simplified, but data integration capability deteriorates

Engineering Contradiction:
Improvedata collection simplicityVSAvoiddata integration capability
Core Design Contradiction:
Ease of manufactureVSAdaptability or versatility

Solution Approach 1:

The patent creates a universal data integration framework that handles multiple data types (biometric, environmental, EHR) through a single standardized approach. This multi-functional system maintains the simplicity of collecting biometric data while enabling seamless integration with diverse data sources, thereby improving data integration capability without complicating collection processes.

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

3Productivity

If biometric data lacks contextual information, then data collection is easier, but diagnostic utility deteriorates

Engineering Contradiction:
Improvedata collection efficiencyVSAvoiddiagnostic utility
Core Design Contradiction:
ProductivityVSLoss of information

Solution Approach 1:

The patent performs preliminary integration of environmental and EHR data with biometric measurements before the data is used for diagnosis. This preliminary contextualization action maintains collection efficiency while pre-enriching the data with necessary context, thereby preserving diagnostic utility without sacrificing collection productivity.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS20250299787A1System and Method for Populating Electronic Health Records with Wireless Earpieces
Publication Date: 2025.09.25 BRAGI
  • US20250299787A1 patent drawing
  • US20250299787A1 patent drawing
  • US20250299787A1 patent drawing

AI summary

A system, method and wireless earpieces for populating an electronic health record utilizing wireless earpieces. Sensor measurements of a user are performed utilizing sensors of the wireless earpieces. The sensor measurements are analyzed. The sensor measurements are associated with the electronic health record of the user. The electronic health record of the user is populated with the sensor measurements. Communications including information from the electronic health record are communicated.