Interactive Diagnostic System Using AI Weights
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Solution Overview
Problem
Current healthcare diagnostic methods rely heavily on physician expertise, leading to inconsistent and unreliable diagnoses, especially in areas with a shortage of qualified medical professionals, and existing software systems fail to utilize patient information for diagnostic purposes.
Innovation Solution
A computer-implemented interactive system that processes user input and stored data to provide a collaborative diagnostic process, using a search module and diagnostic inquiry module to suggest possible conditions and guide physical examinations, operable within an electronic medical records system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If physician expertise is used for diagnosis, then diagnostic capability is available, but diagnostic consistency and reliability deteriorate due to human error and variable quality
Solution Approach 1:
The patent introduces an artificial intelligence system as an intermediary between patient data and diagnostic conclusions. This AI intermediary processes clinical information, patient history, and test results to generate standardized diagnostic recommendations, thereby improving diagnostic reliability while maintaining manageable system complexity through software-based automation.
Solution Approach 2:
The patent replaces the mechanical system of human physician judgment with an artificial intelligence-based diagnostic system. This substitution eliminates human error and variability in diagnostic reasoning, providing consistent and reliable diagnoses across different users and settings without requiring complex infrastructure beyond standard computing resources.
2Productivity
If electronic medical records are implemented, then data access efficiency is improved, but diagnostic functionality deteriorates because existing systems cannot use patient information for diagnostic purposes
Solution Approach 1:
The patent transforms the electronic medical records system into a multi-functional platform that not only stores and retrieves patient data efficiently but also performs diagnostic analysis. The AI system integrates with existing EMR infrastructure to provide both data management and diagnostic capabilities, thereby improving versatility without sacrificing data access efficiency.
Solution Approach 2:
The patent merges the electronic medical records system with artificial intelligence diagnostic capabilities into a unified platform. This combination allows the system to simultaneously perform efficient data access and sophisticated diagnostic analysis using the same patient information, eliminating the need for separate diagnostic tools and improving overall system versatility.
3Reliability
If physician knowledge base is used for therapy selection, then treatment recommendations are provided, but therapeutic decision-making deteriorates due to limited physician expertise
Solution Approach 1:
The patent introduces an artificial intelligence system as an intermediary between diagnosed conditions and treatment recommendations. This AI intermediary analyzes patient data, disease characteristics, and treatment options to provide evidence-based therapeutic recommendations, improving decision quality while maintaining manageable system complexity through software-based automation that integrates with existing clinical workflows.
Data Source
AI summary
Embodiments of the invention are directed toward a computer-implemented interactive diagnostic medical records system operated in conjunction with at least one user device. Interactive processing components provide collaborative interaction between a user and at least one database, the collaboration including deployment of a search module in response to a query associated with the user device, and a diagnostic inquiry module comprising an interactive sequence of at least two linked inquiries transmitted to the user device. In one embodiment, the diagnostic inquiry module is operable to assign a value or “weight” to the user responses to the interactive sequence of at least two linked inquiries. User interface tools may further be associated with the user device for accepting input from the diagnostic inquiry module and correspondingly displaying output as determined by the interactive processing components.