Remote 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 healthcare delivery costs.

Innovation Solution

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

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If in-person programming is used to ensure security and prevent unauthorized access, then device security is improved, but patient accessibility and remote care capabilities deteriorate

Engineering Contradiction:
Improvedevice securityVSAvoidpatient accessibility
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 external devices. The server establishes secure communication sessions, verifies device identifiers, and manages authentication credentials, allowing remote programming while maintaining security through multiple verification layers including device identifiers, cryptographic credentials, and session management protocols

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If in-person programming is required, then unauthorized access is prevented, but healthcare delivery costs increase due to reduced efficiency

Engineering Contradiction:
Improveunauthorized access preventionVSAvoidhealthcare delivery efficiency
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The system enables self-service remote programming where authorized external devices can programm the implantable device without requiring clinician presence. The device autonomously manages security credentials, establishes secure sessions, and accepts programming commands through verified remote connections, significantly improving healthcare delivery efficiency while maintaining unauthorized access prevention through cryptographic authentication and session management

Inventive Principle:
Principle #25Self-service

3Ease of operation

If remote programming is enabled, then patient care accessibility is improved, but security risks from third-party interference increase

Engineering Contradiction:
Improvepatient care accessibilityVSAvoidthird-party interference
Core Design Contradiction:
Ease of operationVSObject-affected harmful factors

Solution Approach 1:

The patent implements preliminary anti-action by pre-configuring the implantable device with unique identifiers and cryptographic credentials before remote programming sessions. The server verifies these credentials in advance during session establishment, and the system continuously monitors for unauthorized devices attempting to connect, preventing third-party interference before it can compromise device security

Inventive Principle:
Principle #9Preliminary anti-action

Data Source

PatentUS12472366B2Systems and methods for providing digital health services
Publication Date: 2025.11.18 ADVANCED NEUROMODULATION SYSTEMS INC
  • US12472366B2 patent drawing
  • US12472366B2 patent drawing
  • US12472366B2 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.