Remote Point-of-Care Test Recommendations With AI Guidance
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Solution Overview
Problem
Existing medical diagnostic systems lack the ability to efficiently identify and administer point-of-care tests (POCTs) remotely without medical training, leading to inefficiencies and potential misadministration of tests.
Innovation Solution
A medical testing recommendation system that includes a processor to receive patient data, convert natural language symptoms to medical terminology, evaluate suitability for POCTs, and automatically acquire and analyze test results to provide diagnostic recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If medical diagnostic systems allow untrained patients to self-administer POCTs remotely, then accessibility and convenience are improved, but reliability and accuracy of test administration deteriorate
Solution Approach 1:
The patent introduces an AI-based virtual healthcare assistant as an intermediary between untrained patients and POCTs. This assistant provides real-time guidance, instructions, and support during test administration, ensuring that patients without medical training can perform tests accurately and reliably while maintaining accessibility.
Solution Approach 2:
The system enables patients to self-administer POCTs remotely with AI-guided support. Patients can independently complete the testing process at home or in remote locations, eliminating the need to visit healthcare facilities while maintaining test quality through automated guidance and monitoring.
2Measurement precision
If the system evaluates all patient data to determine suitability for POCTs, then diagnostic accuracy is improved, but computational resources and processing time increase
Solution Approach 1:
The system performs preliminary evaluation of patient data before POCT administration to identify suitable candidates and appropriate tests. By pre-assessing patient suitability, medical history, and symptom patterns, the system avoids unnecessary comprehensive evaluations for all patients, reducing computational overhead while maintaining diagnostic accuracy for those who qualify.
Solution Approach 2:
The system applies partial evaluation by focusing computational resources on the most relevant patient data and symptoms for each individual case. Rather than uniformly evaluating all possible data points for every patient, the AI assistant adapts the evaluation depth based on the specific clinical presentation and test type, optimizing resource usage.
3Reliability
If the system provides comprehensive diagnostic recommendations based on multiple POCT results, then diagnostic quality is improved, but system complexity and data processing requirements increase
Solution Approach 1:
The patent segments the diagnostic process into distinct stages: POCT selection, test administration, result collection, and recommendation generation. The AI virtual assistant handles each segment separately, coordinating with different system components and data sources. This modular approach improves diagnostic quality through comprehensive evaluation while managing system complexity through structured organization.
Solution Approach 2:
The AI-based virtual healthcare assistant serves multiple functions: it guides test administration, collects patient data, analyzes POCT results, and generates diagnostic recommendations. This multi-functional approach consolidates complexity into a single intelligent agent rather than requiring separate specialized systems for each function.
Data Source
AI summary
A medical testing recommendation system and method are provided for identifying a plurality of point-of-care tests to be administered to a patient remotely from medical testing facilities. The medical testing recommendation system includes a point-of-care test database storing data related to the plurality of point-of-care tests available to be administered remotely from the testing facilities; and a processor in communication with the point-of-care test database. The processor is configured to: receive a patient data related to the patient, the patient data including a plurality of symptoms experienced by the patient and a patient personal data related to personal information and historical medical data of the patient; evaluate the patient data to identify a plurality of diseases associated with one or more symptoms of the plurality of symptoms; determine, with reference to the point-of-care test database, whether a point-of-care test is available for each disease of the plurality of diseases.