Telemedicine Diagnostics Security via Intermediary Mediator
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Solution Overview
Problem
Network connections in telemedicine systems are susceptible to attacks, compromising the security of private information and hindering secure communication, especially in urgent situations.
Innovation Solution
A system and method for telemedicine diagnostics through remote sensing, utilizing a processor and memory to communicate with subjects, classify medical conditions, generate reports, and initiate telemedicine sessions, while ensuring secure communication channels using encryption and machine learning algorithms to analyze physiological data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If network connections are used for telemedicine communication, then ease of operation and accessibility are improved, but security and reliability deteriorate due to susceptibility to attacks
Solution Approach 1:
The patent introduces an intermediary security system that acts as a mediator between the telemedicine communication channels and the external network. This intermediary layer validates and secures communications without preventing network access, thus maintaining ease of operation while improving reliability through enhanced security protocols
Solution Approach 2:
The patent converts the potential harm of network attacks into a benefit by implementing security measures that detect and utilize attack patterns to strengthen the system. The security system learns from attempted attacks and improves protection mechanisms, turning security threats into opportunities for system hardening
2Productivity
If automated classification and diagnosis systems are implemented, then productivity and response time are improved, but device complexity and measurement precision requirements increase
Solution Approach 1:
The patent segments the complex diagnosis system into distinct functional modules: symptom input interface, classification algorithm engine, diagnosis generation module, and result output system. Each module performs a specific function independently, reducing overall system complexity while maintaining high productivity through automated processing of patient information through these segmented stages
3Measurement precision
If comprehensive medical data collection is performed, then measurement precision and diagnosis accuracy are improved, but loss of time and device complexity increase
Solution Approach 1:
The patent implements preliminary action by pre-configuring standardized symptom checklists and classification frameworks before patient interactions. Common medical conditions and their associated symptoms are pre-coded and organized in the system, allowing rapid data collection and classification during actual telemedicine sessions without requiring time-consuming manual analysis
Solution Approach 2:
The patent utilizes parameter changes by dynamically adjusting the depth and scope of data collection based on initial patient responses. The system adapts the level of detail required for different symptom categories and patient presentations, collecting comprehensive data when needed but reducing data collection scope for routine cases, thus balancing measurement precision with time efficiency
Data Source
AI summary
A system for telemedicine diagnostics through remote sensing may include at least a processor, and a memory communicatively connected to the at least processor, wherein the memory contains instructions configuring the at least processor to communicate to a subject a prompt, receive from the subject a response, classify the response to a medical condition category, generate a medical condition report as a function of the medical condition category, and initiate a telemedicine session by connecting the subject with a medical professional as a function of the response, and transmitting the medical condition report to a device operated by the medical professional.