Automated Neurological Analysis System for Remote Patient Assessment
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Solution Overview
Problem
Individuals often lack convenient access to neurological assessments and diagnoses, especially after injuries, due to the inability to physically visit a doctor or find a suitable medical provider.
Innovation Solution
A system and method for neurological analysis using a computing device to collect, analyze, and transmit medical and sensor data, enabling remote assessments that determine the urgency and potential neurological impairments, and providing educational messages and data for medical providers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If individuals cannot physically visit a doctor or find a suitable medical provider, then access to neurological assessments is limited, but the need for convenient remote assessment arises
Solution Approach 1:
The patent introduces a computing device with application software as an intermediary between the patient and medical provider. The application collects medical data and sensor data, performs automated analysis, and transmits results to providers, enabling remote assessment without requiring physical visits while maintaining diagnostic capability
Solution Approach 2:
The patent replaces the mechanical system of physical hospital visits with an automated digital assessment system. Sensors and computing devices collect and analyze medical data remotely, substituting the need for in-person neurological examinations with automated analysis algorithms that can identify potential impairments
2Measurement precision
If comprehensive medical data collection is performed to improve diagnostic accuracy, then data completeness increases, but system complexity increases
Solution Approach 1:
The patent employs a multi-functional application that performs diverse assessment functions through a unified interface. The same computing device and application platform handle multiple types of data collection (medical history, sensor data, cognitive assessments) and analysis tasks, reducing the need for separate specialized systems while maintaining comprehensive diagnostic capability
Solution Approach 2:
The application automatically collects medical data and sensor data without requiring manual intervention for each data point. The system self-manages data aggregation, preliminary analysis, and result generation, reducing the operational complexity burden on users while ensuring comprehensive data collection for accurate diagnosis
Data Source
AI summary
Systems and methods related to the automated neurological analysis of patients are disclosed that can enable individuals to more easily and conveniently obtain assessments of potential neurological impairments that they may be suffered from, as well as enabling the collection and sharing of medical data that can help with such assessments. The overall treatment of the patient can be optimized and enhanced, as well as providing education and directions to the patient.