Patient Sensor Reconfiguration for On-Demand Data Exchange

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Solution Overview

Problem

Existing patient data collection and redistribution systems require patient identification and sensor installation, which can be costly and limit data availability to hospital settings, hindering continuous and extensive data collection for research and studies.

Innovation Solution

A patient data exchange system with sensors configured to monitor patients and a data exchange engine that reconfigures sensors based on request parameters, generates applicable data, computes monetary value, and ensures patient privacy by removing identifying information before data distribution.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If patients are identified and sensors are installed for continuous monitoring, then data collection completeness is improved, but system complexity and cost increase

Engineering Contradiction:

Improvedata collection completenessVSAvoidsystem complexity

Core Design Contradiction:

Loss of informationVSDevice complexity

Solution Approach 1:

The patent extracts the patient identification requirement from the sensor installation process. Sensors are deployed in the environment without being directly coupled to patients, and the system identifies patients through their sensor data patterns rather than through explicit identification procedures. This separation reduces system complexity while maintaining data collection completeness.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent introduces sensor data patterns as an intermediary between physical sensors and patient identification. Instead of directly identifying patients through complex procedures, the system uses anonymized sensor data patterns as a mediator to indirectly identify and track patients, reducing system complexity while maintaining monitoring effectiveness.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Quantity of substance

If sensors are installed for continuous monitoring, then data availability is improved, but installation cost increases

Engineering Contradiction:

Improvedata availabilityVSAvoidinstallation cost

Core Design Contradiction:

Quantity of substanceVSEase of manufacture

Solution Approach 1:

The patent employs inexpensive environmental sensors that can be easily deployed and removed, replacing costly medical-grade sensors requiring direct patient coupling. These affordable sensors are placed in environments where patients naturally occur, providing continuous data availability without the high installation costs associated with traditional medical sensor deployment.

Inventive Principle:

Principle #27Cheap short-living objects (Disposable)

Solution Approach 2:

The patent makes the sensor system universal by deploying sensors in multiple environmental locations simultaneously, allowing a single sensor network to monitor diverse patient populations across different settings. This multi-functional approach increases data availability from diverse sources while avoiding the repeated installation costs of dedicated monitoring systems for each patient or location.

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Measurement precision

If patient identification is performed before monitoring, then data accuracy is improved, but time loss increases

Engineering Contradiction:

Improvedata accuracyVSAvoidtime loss

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent performs preliminary actions by continuously collecting and analyzing sensor data patterns in advance, building a database of patient-specific patterns before any specific monitoring event occurs. This pre-processing allows the system to accurately identify and track patients without requiring time-consuming identification procedures at the moment of monitoring, thus maintaining data accuracy while reducing time loss.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent replaces mechanical or manual patient identification procedures with automated data pattern recognition algorithms. Instead of using physical identification methods that consume time, the system uses computational pattern matching to automatically identify patients based on their sensor data characteristics, significantly reducing identification time while maintaining or improving data accuracy through more precise pattern-based recognition.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS20260017612A1Patient sensor data exchange systems and methods

Publication Date: 2026.01.15 NANT HOLDINGS IP LLC

AI summary

A system for patient data exchange is provided and includes a plurality of sensors monitoring a patient according to a default sensor configuration, and a patient data exchange engine that receives a request comprising one or more parameters, identifies at least one applicable sensor from the plurality of sensors based on the one or more parameters, and reconfigures the at least one applicable sensor from the default sensor configuration to a different sensor configuration in accordance with the one or more parameters to generate applicable sensor data responsive to the request. In specific embodiments, the patient data exchange engine further computes a monetary value for the generated sensor data based at least on an attribute of the patient and an attribute of the sensor data.