Implantable Device Programming Via Secure Cloud Mediation

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Solution Overview

Problem

Existing implantable medical devices require in-person programming due to the need for close contact, limiting remote patient care capabilities and increasing the risk of unauthorized access.

Innovation Solution

A cloud-centric digital health network architecture enabling secure, remote programming and monitoring of implantable medical devices through clinician and patient devices, utilizing AI and ML for real-time kinematic and auditory analysis, and secure data transfer.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If in-person programming using short-range communication links is used, then security against unauthorized access is improved, but remote patient care capability deteriorates

Engineering Contradiction:
ImprovesecurityVSAvoidremote patient care capability
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

A cloud server acts as an intermediary between the patient's mobile device and the implantable medical device. The cloud server receives encrypted communication credentials from the mobile device, establishes secure long-range communication with the IMD, and facilitates remote programming sessions. This intermediary enables secure remote access without requiring direct connection between the mobile device and IMD, resolving the contradiction between security and remote capability.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Ease of operation

If long-range communication is enabled for remote access, then remote patient care capability is improved, but vulnerability to unauthorized access increases

Engineering Contradiction:
Improveremote patient care capabilityVSAvoidunauthorized access risk
Core Design Contradiction:
Ease of operationVSObject-affected harmful factors

Solution Approach 1:

The system performs preliminary authentication and credential verification before establishing communication with the implantable device. The mobile device and cloud server exchange encrypted credentials in advance, and the system verifies authorization status before allowing any programming or data access. This preliminary security action enables remote access while preventing unauthorized access attempts.

Inventive Principle:
Principle #10Preliminary action

3Reliability

If in-person programming sessions are required, then unauthorized access is prevented, but healthcare delivery costs and patient time increase

Engineering Contradiction:
Improveaccess controlVSAvoidpatient time and healthcare delivery time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system replaces the mechanical requirement for physical presence with electronic authentication and encrypted communication protocols. Instead of requiring the patient and clinician to be physically together for programming, the system uses digital credentials, cloud-based communication, and secure data transmission to enable remote programming sessions. This substitution eliminates travel time and in-person meeting requirements while maintaining access control through electronic security measures.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS20250319316A1Systems and methods for providing digital health services
Publication Date: 2025.10.16 ADVANCED NEUROMODULATION SYSTEMS INC
  • US20250319316A1 patent drawing
  • US20250319316A1 patent drawing
  • US20250319316A1 patent drawing

AI summary

The present disclosure is directed to providing digital health services. In some embodiments, systems and methods for conducting virtual or remote sessions between patients and clinicians are disclosed. During the sessions, media content (e.g., images, video content, audio content, etc.) may be captured as the patient performs one or more tasks. The media content may be presented to the clinician and used to evaluate a condition of the patient or a state of the condition, adjust treatment parameters, provide therapy, or other operations to treat the patient. The analysis of the media content may be aided by one or more machine learning/artificial intelligence models that analyze various aspects of the media content, augment the media content, or other functionality to aid in the treatment of the patient.