Cloud Digital Health Network for Secure Remote Implant Programming
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Solution Overview
Problem
Existing implantable medical devices require in-person programming, limiting remote patient care capabilities and security in communication sessions.
Innovation Solution
A cloud-centric digital health network architecture enabling secure, remote therapy sessions using clinician and patient controller devices with AI/ML-enhanced kinematic and auditory analysis, allowing secure communication and programming of implantable devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If in-person programming using short-range communication links is used, then security against third-party unauthorized access is improved, but remote patient care capabilities and accessibility are limited
Solution Approach 1:
The patent introduces a cloud-based server as an intermediary between the implantable medical device and external devices. This server establishes secure communication sessions, manages authentication, and coordinates data transmission. The server acts as a trusted mediator that enables remote access while maintaining security protocols, resolving the contradiction between remote accessibility and security by providing a centralized secure gateway.
Solution Approach 2:
The patent replaces the mechanical requirement of physical proximity (short-range inductive communication requiring close contact) with wireless communication systems that use electromagnetic fields and network protocols. This substitution allows communication over longer distances through air or vacuum, enabling remote patient care while incorporating digital security measures like encryption and authentication to maintain security without physical contact.
2Ease of operation
If remote communication over long distances is enabled, then patient care accessibility is improved, but security risks from third-party unauthorized access increase
Solution Approach 1:
The patent implements feedback mechanisms where the system continuously monitors communication sessions, authentication attempts, and device status. The server receives feedback from the implantable device about session validity, authentication status, and operational parameters. This feedback loop enables real-time security verification and dynamic adjustment of access controls, allowing remote access while maintaining security through continuous validation.
Solution Approach 2:
The patent performs preliminary authentication and authorization actions before establishing communication sessions. The server pre-validators device identities, user credentials, and access permissions before allowing any data transmission. This preliminary security check ensures that only authorized parties can establish remote connections, preventing unauthorized access while enabling legitimate remote patient care.
3Productivity
If cloud-based remote therapy sessions are implemented, then scalability and efficiency of patient care are improved, but system complexity increases
Solution Approach 1:
The patent implements a universal cloud-based server platform that serves multiple functions: managing communication sessions, storing patient data, coordinating therapy delivery, and providing security authentication. This multi-functional platform consolidates what would otherwise require separate systems, improving efficiency and scalability while managing complexity through integration rather than proliferation of separate components.
Solution Approach 2:
The cloud server acts as an intermediary that abstracts and manages system complexity. Rather than requiring direct complex interactions between implantable devices and external systems, the server mediates all communications, handling authentication, data routing, and coordination. This intermediary layer shields users and devices from underlying system complexity while enabling scalable remote care delivery.
Data Source
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.