Pathway Identification System for Medical Treatment Scoring
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Solution Overview
Problem
Current scoring methodologies across different medical institutions cannot be easily combined or compared, making it difficult for medical providers to determine the value of treatments for specific diagnoses.
Innovation Solution
A pathway identification system that uses processor hardware and memory to store pathways and framework transformation models, allowing for real-time identification and selection of treatment pathways based on parameters like efficacy, toxicity, and life quality, and transforming user interfaces to display recommended pathways.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If scoring methodologies from various medical institutions are used to determine treatment value, then treatment evaluation capability is improved, but the complexity of combining and comparing different methodologies increases
Solution Approach 1:
The patent segments different institutional scoring methodologies into separate, standardized modules that can be independently processed. Each methodology is broken down into discrete scoring components that can be evaluated and combined systematically, reducing the complexity of integration while maintaining comprehensive treatment evaluation capability.
Solution Approach 2:
The patent transforms various institutional scoring methodologies into a unified parameter framework with standardized metrics. By converting different evaluation methods into comparable parameters with consistent scaling and weighting, the system enables seamless combination and comparison of methodologies from multiple institutions without manual intervention.
2Measurement precision
If time-intensive worksheets are used to calculate treatment scores, then scoring accuracy is improved, but the time required for calculation increases
Solution Approach 1:
The patent replaces manual worksheet-based scoring with an automated computational system. The mechanical process of filling out and calculating scores on worksheets is substituted with electronic algorithms that automatically compute treatment scores based on input parameters, maintaining scoring accuracy while dramatically reducing calculation time.
Solution Approach 2:
The patent pre-configures scoring templates, calculation algorithms, and evaluation criteria before actual treatment scoring is needed. By preparing the computational framework in advance with all necessary scoring rules and parameters, the system eliminates the need for time-consuming manual setup during treatment evaluation, delivering accurate scores rapidly.
3Measurement precision
If framework transformation models are applied to determine pathway values, then pathway selection accuracy is improved, but the computational complexity increases
Solution Approach 1:
The patent segments the framework transformation models into hierarchical layers, with primary transformation models handling basic pathway value assessment and secondary models providing refined adjustments. This segmentation allows the system to apply computational complexity selectively, improving pathway selection accuracy only where needed while maintaining efficiency for straightforward cases.
Solution Approach 2:
The patent implements a tiered application of transformation models where not all models are applied to every pathway calculation. Instead, the system applies only the necessary level of transformation complexity based on the specific pathway and clinical context, achieving accurate pathway selection while avoiding unnecessary computational overhead.
Data Source
AI summary
A pathway identification system includes processor and memory hardware. The memory hardware stores a pathway database including pathways corresponding to at least one pathway parameter, a framework database including a set of framework transformation models, and instructions. The instructions include, in response to receiving a first pathway parameter corresponding to a user, identifying a subset of pathways of the pathways corresponding to the first pathway parameter. The instructions include obtaining a first set of framework transformation models from the framework database, determining a pathway value for each pathway of the subset of pathways using the first set of framework transformation models, and selecting at least one pathway of the subset of pathways based on the corresponding pathway value. The instructions include transmitting information encoding the at least one pathway to the operator device and transforming a user interface of the operator device to display the at least one pathway.