Remote Implantable Device Programming via Cloud Health Network
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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 and monitoring of implantable devices using clinician and patient controller devices, integrated with AI and ML for real-time kinematic and auditory analysis, and secure data transfer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If in-person programming is used to ensure secure communication, then device security is improved, but patient accessibility and remote care capabilities deteriorate
Solution Approach 1:
The patent introduces a cloud-based server as an intermediary between the implantable medical device and external devices. This server acts as a trusted mediator that establishes secure communication sessions, verifies device identifiers, and manages authentication credentials. The intermediary enables remote programming while maintaining security by mediating the communication process and preventing direct unauthorized access to the implantable device.
Solution Approach 2:
The patent transitions the programming capability from a purely physical proximity-based model to a multi-dimensional model that combines cloud-based authentication with controlled wireless communication. By adding the cloud server dimension to the authentication process, the system enables remote access while maintaining security through layered verification protocols that operate across different communication channels and trust zones.
2Ease of operation
If cloud-based remote access is implemented to improve patient care accessibility, then patient accessibility is improved, but system complexity and security vulnerability increase
Solution Approach 1:
The patent segments the system into distinct functional modules: the implantable medical device, the external device, and the cloud-based server. Each segment has specific responsibilities - the implantable device handles therapy delivery and basic communication, the external device provides user interface and control, and the cloud server manages authentication and session coordination. This segmentation reduces overall system complexity by distributing functions across independent components with well-defined interfaces.
Solution Approach 2:
The cloud-based server acts as an intermediary that handles complex authentication and session management tasks, preventing these complexities from being embedded in the implantable device or external device. The server mediates between the two devices, verifying credentials, establishing secure sessions, and coordinating communication protocols, thereby simplifying the design of the endpoint devices while enabling robust remote access capabilities.
3Ease of operation
If cloud-based remote access is implemented to enable remote care, then remote care capability is improved, but data security risks increase
Solution Approach 1:
The patent implements preliminary authentication actions before establishing any communication session with the implantable device. The cloud server verifies device identifiers, validates external device credentials, and establishes trust relationships in advance of the actual programming or data transfer operations. This preliminary verification ensures that only authenticated and authorized devices can communicate with the implantable device, preventing unauthorized access and data breaches.
Solution Approach 2:
The system incorporates feedback mechanisms where the cloud server continuously monitors communication sessions, verifies device responses, and validates data integrity during remote programming operations. The server provides real-time feedback on authentication status, session validity, and communication security, enabling dynamic adjustment of security measures and immediate termination of suspicious or unauthorized activities.
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.