Cloud Digital Health Network for Secure Remote Implant Programming

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Solution Overview

Problem

Existing implantable medical devices require in-person programming due to short-range communication links, 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 using AI/ML techniques for real-time kinematic and auditory analysis, along with secure data transfer and personalized therapy settings.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If short-range communication links are used for programming implantable medical devices, then security against unauthorized access is improved, but remote patient care capability deteriorates

Engineering Contradiction:
Improvesecurity against unauthorized accessVSAvoidremote patient care capability
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The patent introduces a cloud-based server as an intermediary between the implantable medical device and the external programming device. The server establishes a communication bridge that allows secure remote programming while maintaining the security benefits of authenticated connections. The server validates credentials and manages the communication session, enabling remote access without direct peer-to-peer connectivity.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If in-person programming is required for implantable medical devices, then security against third-party access is improved, but access to medical expertise deteriorates

Engineering Contradiction:
Improvesecurity against third-party accessVSAvoidaccess to medical expertise
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent creates a universal communication platform that supports multiple functions: secure authentication, encrypted data transmission, real-time monitoring, and remote programming. This multi-functional system allows any authorized clinician to access patient devices remotely, expanding access to medical expertise while maintaining security protocols through centralized credential verification.

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

3Ease of operation

If cloud-based remote communication is implemented for implantable medical devices, then remote patient care access is improved, but risk of unauthorized access increases

Engineering Contradiction:
Improveremote patient care accessVSAvoidrisk of unauthorized access
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The patent implements preliminary authentication and credential verification before establishing any communication session with the implantable device. The server pre-validates clinician credentials, device authorization tokens, and patient consent status before allowing remote access. This preliminary security check prevents unauthorized access attempts from reaching the device.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system incorporates continuous authentication feedback mechanisms that monitor communication sessions in real-time. The server receives and validates authentication tokens, encryption keys, and session identifiers during the communication process. Any deviation from authorized parameters triggers immediate session termination, providing ongoing security feedback.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS12364868B2Systems and methods for providing digital health services
Publication Date: 2025.07.22 ADVANCED NEUROMODULATION SYSTEMS INC
  • US12364868B2 patent drawing
  • US12364868B2 patent drawing
  • US12364868B2 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.