Implantable Device Registration With Distributed Patient Data Sync

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Solution Overview

Problem

Current medical device systems, particularly those involving implantable devices, suffer from limited interconnectivity between system components, leading to inefficiencies such as manual data entry errors, redundancy, latency, and reduced compliance due to the lack of automatic information sharing across segregated databases.

Innovation Solution

A distributed database architecture is implemented, where the implantable device functions as a core node, enabling automatic information exchange and replication across interconnected nodes, ensuring data consistency and redundancy through wireless or wired communication, with a user device as the sole entry point for new information.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual data entry is used to align information among unconnected subsystems, then data consistency can be achieved, but data entry errors and redundancy increase

Engineering Contradiction:

Improvedata consistencyVSAvoiddata entry errors

Core Design Contradiction:

ReliabilityVSLoss of information

Solution Approach 1:

The patent merges previously isolated subsystems into a unified distributed database architecture where implantable devices, clinic programming systems, and remote monitoring systems all connect to shared nodes. This integration eliminates the need for manual data entry across separate systems, as information automatically synchronizes through the distributed database, thereby reducing data entry errors while maintaining consistency.

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The distributed database enables automatic information exchange and synchronization between system components without manual intervention. Each node in the distributed database can independently access and update information, with automatic replication ensuring data consistency across all connected subsystems, eliminating manual data alignment tasks.

Inventive Principle:

Principle #25Self-service

2Reliability

If manual data entry is performed to update information across subsystems, then information can be aligned, but time consumption and labor increase

Engineering Contradiction:

Improveinformation alignmentVSAvoidtime consumption

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The distributed database establishes continuous automatic information exchange between all system nodes. When information is updated at any node (implantable device, clinic system, or remote monitoring system), the changes are automatically replicated across all other nodes in real-time or near-real-time, eliminating the discontinuous manual data entry process and significantly reducing time consumption.

Inventive Principle:

Principle #20Continuity of useful action

Solution Approach 2:

The system performs automatic information synchronization as a preliminary action whenever data is entered at any node. The distributed database architecture pre-configures replication rules and automatic update mechanisms, so that information alignment occurs automatically before any manual intervention would be needed, saving substantial time.

Inventive Principle:

Principle #10Preliminary action

3Adaptability or versatility

If segregated databases are used in different system components, then system independence is maintained, but interconnectivity and automatic information sharing are limited

Engineering Contradiction:

Improvesystem independenceVSAvoidautomatic information sharing

Core Design Contradiction:

Adaptability or versatilityVSExtent of automation

Solution Approach 1:

The patent implements a distributed database architecture that segments the database into multiple independent nodes distributed across different system components (implantable devices, clinic programming systems, remote monitoring systems). Each node maintains its operational independence while being part of the unified distributed database, allowing automatic information sharing through predefined replication mechanisms without compromising system independence.

Inventive Principle:

Principle #1Segmentation

4Quantity of substance

If multiple isolated databases are maintained across system components, then data storage capacity is increased, but data entry redundancy and manual labor increase

Engineering Contradiction:

Improvedata storage capacityVSAvoidmanual labor efficiency

Core Design Contradiction:

Quantity of substanceVSProductivity

Solution Approach 1:

The distributed database architecture implements automatic copying and replication of information across multiple nodes. When data is entered or updated at any node, the system automatically creates and distributes copies to all relevant nodes in the distributed database. This maintains comprehensive data storage capacity across the system while eliminating manual data entry redundancy, as the copying process is automated.

Inventive Principle:

Principle #26Copying

Data Source

PatentUS12567484B2Automatic medical device patient registration

Publication Date: 2026.03.03 BIOTRONIK SE & CO KG

AI summary

A data system for managing information associated with an implantable device includes the implantable device. The data system is configured as a distributed database to store the information in two or more nodes of the data system. The implantable device is configured as one of the two or more nodes. The information includes at least one information entity. The at least one information entity includes at least one of the following: a patient identifiable information, a follow-up information, an implantable device information, or a lead system information.