Unified Remote Patient Care System Integrating Diagnostic Devices
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current point of care patient care systems suffer from diagnostic errors and slow time to diagnosis, treatment, and prophylaxis support decisions, lacking unified remote patient care systems that provide easy and convenient access to onsite diagnostic support.
Innovation Solution
A mobile diagnostic support system that integrates user symptom reports, exam devices, lab tests, and a database with analysis data to provide diagnosis, treatment, and prophylaxis suggestions, using an algorithm for secure electronic transmission and connection to exam and lab devices, with optional chatbot assistance for review and adjustment of patient data and suggestions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple separate systems are used for patient care (symptom reporting, exam devices, lab tests), then system versatility is improved, but system complexity increases and diagnostic accuracy deteriorates due to lack of integration
Solution Approach 1:
The patent combines multiple separate patient care systems (symptom reporting, exam devices, lab tests) into a single unified remote patient care system. The system integrates diverse data sources including user symptom reports, vital sign monitor data, bodily fluid test results, and imaging equipment data into one cohesive platform that processes and analyzes all information together, eliminating the need for multiple separate systems while maintaining full functionality.
Solution Approach 2:
The unified system performs multiple functions through a single integrated platform: it collects symptom reports, connects to various exam devices (vital sign monitors, imaging equipment), processes lab tests, and provides diagnostic support. This multi-functional approach allows the system to replace multiple specialized systems while maintaining adaptability across different patient care scenarios.
2Measurement precision
If comprehensive patient data collection is implemented (multiple symptom reports, exam results, test results), then diagnostic accuracy is improved, but information processing time increases
Solution Approach 1:
The system performs preliminary organization and standardization of data from multiple sources before full diagnostic processing. Patient data is pre-formatted and structured as it is collected from symptom reports, exam devices, and lab tests, preparing it in advance for rapid analysis. This preliminary data preparation reduces the processing time required during actual diagnostic events while maintaining comprehensive data collection.
Solution Approach 2:
The system implements real-time feedback mechanisms that provide diagnostic support decisions as data is being collected and processed. Rather than waiting for complete data collection before providing any analysis, the system continuously processes available information and provides interim diagnostic suggestions, allowing for time-sensitive decisions while comprehensive analysis continues in parallel.
3Reliability
If remote patient care system is unified and integrated, then diagnostic error is decreased, but ease of operation deteriorates due to system complexity
Solution Approach 1:
The system introduces an AI-based diagnostic support module as an intermediary that automatically processes and analyzes the integrated patient data. This intermediary handles the complexity of data integration and analysis, performing comprehensive evaluations of symptom reports, exam results, and test data to generate diagnostic suggestions. This reduces diagnostic errors by ensuring thorough analysis while shielding users from the underlying system complexity.
Solution Approach 2:
The unified system automatically performs data integration, standardization, and analysis without requiring manual intervention for these complex tasks. The system self-manages the integration of data from multiple sources, automatically formats and processes the information, and generates diagnostic support decisions autonomously, reducing the operational burden on users despite the sophisticated integration occurring in the background.
Data Source
AI summary
The Remote Point of Care Patient Care System and Methods is a remotely user operated point of care patient care system for getting patient input, conducting patient tests, and reporting test results. This system allows users to have an easy and convenient way to decrease diagnostic error, provide faster diagnosis, treatment, and prophylaxis support decisions, and set up onsite diagnostic support systems. This system can make tasks easier and more convenient because of its earlier, deeper, and more complete integration of both new and old information into the remote patient care provider experience.