Computer-Based Analytic Methods for Medical Knowledge Pathway Integration
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Solution Overview
Problem
Medical knowledge dissemination to caregivers is fragmented, outdated, and difficult to apply effectively due to its vast volume, varied sources, and dynamic nature, leading to challenges in accuracy, relevance, and integration with patient data.
Innovation Solution
A software and hardware facility for constructing and applying computer-based analytic methods that represent medical knowledge, enabling creators to build and consumers to utilize interactive, dynamically updated medical knowledge pathways through a user interface, integrating with electronic medical records and supporting various input and output modalities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If medical knowledge is disseminated through traditional sources (textbooks, journals, seminars), then caregivers can access medical information, but the knowledge becomes fragmented, outdated, and difficult to apply effectively
Solution Approach 1:
The patent segments medical knowledge into structured analytic methods with discrete steps, decision nodes, and actionable pathways. Each analytic method breaks down complex medical domains into manageable components that can be systematically applied to patient data, transforming fragmented information into organized, executable workflows.
Solution Approach 2:
The patent introduces computer-based analytic methods as intermediaries between medical knowledge sources and caregivers. These analytic methods serve as mediators that integrate information from multiple sources, update knowledge dynamically, and present it in an easily applicable format through user interfaces that guide caregivers through structured decision-making processes.
2Reliability
If medical knowledge is updated continuously from varied sources, then information remains current, but integration with patient data and application effectiveness deteriorates
Solution Approach 1:
The patent creates analytic methods with universal structures that can process multiple types of patient data (demographics, clinical measurements, lab results, imaging) through standardized input formats. The same analytic method framework handles diverse data sources uniformly, enabling continuous knowledge updates without increasing integration complexity.
Solution Approach 2:
The patent employs parameter-driven analytic methods where knowledge updates manifest as changes in configurable parameters, thresholds, and decision rules within the analytic framework. This allows continuous updating of medical knowledge by modifying parameters rather than restructuring entire systems, maintaining reliability while controlling complexity.
3Reliability
If comprehensive medical knowledge is made available to caregivers, then care quality improves, but resource consumption and time requirements increase
Solution Approach 1:
The patent performs preliminary actions by pre-processing patient data, pre-configuring analytic methods, and pre-establishing decision pathways before clinical decisions are needed. Analytic methods are prepared in advance with all necessary logic, rules, and parameters configured, so caregivers simply need to input patient data and receive immediate guidance, improving productivity without sacrificing care quality.
Solution Approach 2:
The patent enables analytic methods to automatically retrieve and process patient data from electronic health records, perform necessary calculations, and generate recommendations without requiring caregivers to manually search through comprehensive medical knowledge resources. The system serves itself by automating data integration, analysis, and presentation, maintaining high care quality while preserving caregiver efficiency.
Data Source
AI summary
A facility for defining an analytic method is described. The facility solicits and receives user input (1) specifying one or more questions that are part of the analytic method; (2) for one of these, user input specifying a plurality of possible answers to the question; (3) for a combination of one or more of the possible answers, user input specifying a routing target for the distinguished combination; and (4) for a particular possible answer those of the combination, user input specifying an automatic retrieval method for automatically retrieving data indicating whether the distinguished possible answer is correct for a particular person. The facility persistently stores an internal representation of the analytic method encoding the received user input.