Granular Health Data Update Sharing via Transaction Packages

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Solution Overview

Problem

Conventional health data sharing methods lack granular user control over data types shared and often result in inconsistent or stale data, leading to poor user experiences and potential health-related misactions.

Innovation Solution

A computer-implemented method that allows users to select specific health data types to share, bundles them into transaction packages, and stores them securely in a cloud-based service, ensuring consistency and user control over privacy, with opportunistic notifications based on data trends.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If all health data is shared continuously between devices, then data consistency is improved, but network traffic and resource usage increase significantly

Engineering Contradiction:

Improvedata consistencyVSAvoidnetwork traffic

Core Design Contradiction:

ReliabilityVSLoss of energy

Solution Approach 1:

The system performs preliminary actions by bundling health data into transaction packages before transfer. Data is prepared and packaged in advance at the source device, then transferred as complete units to the cloud service and recipient devices, eliminating the need for continuous real-time synchronization and reducing overall network traffic.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system segments health data into discrete transaction packages that can be independently managed and transferred. Each package represents a specific unit of data that can be shared selectively, allowing devices to receive only relevant updates without processing all possible data types, thus reducing resource usage.

Inventive Principle:

Principle #1Segmentation

2Object-affected harmful factors

If granular control over data sharing is implemented, then user privacy is improved, but system complexity increases

Engineering Contradiction:

Improveuser privacyVSAvoidsystem complexity

Core Design Contradiction:

Object-affected harmful factorsVSDevice complexity

Solution Approach 1:

The cloud-based service acts as an intermediary that manages the complexity of granular data sharing. The service handles authorization identifiers, transaction packages, and data routing, allowing users to control what data is shared without each device needing complex peer-to-peer negotiation logic, thus distributing system complexity to a centralized mediator.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Adaptability or versatility

If health data is shared with multiple users, then data accessibility is improved, but data consistency and security management become more difficult

Engineering Contradiction:

Improvedata accessibilityVSAvoiddata consistency

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The system implements feedback mechanisms where the cloud-based service tracks which users have received which transaction packages. This allows the system to maintain consistency by knowing the distribution state of health data, enabling reliable multi-user sharing while maintaining security through centralized tracking and authorization management.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS20220392590A1Granular data update sharing

Publication Date: 2022.12.08 APPLE INC

AI summary

Techniques for identifying change points in health data are described herein. Health data during a first time sub-window is compared to health data from a second time sub-window. The health data is evaluated with respect to a set of change point criteria to determine that a first change is a first change point in the health data. A notification including information about the change point and information about a second change point is generated.