Intelligent Triaging Engine for Healthcare Routing
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Solution Overview
Problem
Healthcare providers face challenges in efficiently routing patients to the most appropriate healthcare channels due to the lack of integration among disparate computing systems, leading to unnecessary utilization of more expensive or comprehensive care options.
Innovation Solution
An intelligent triaging engine that receives medical symptom indications, analyzes them to determine a diagnosis, and generates healthcare service recommendations based on user data, including preferences, insurance, and location, to guide patients to the most suitable healthcare services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If healthcare channels are independently operated by different computing systems, then each channel can be managed separately, but patients cannot conveniently compare and contrast different healthcare channels and may end up utilizing more expensive or comprehensive care than needed
Solution Approach 1:
The patent merges multiple discrete healthcare computing systems into a single unified triaging engine that consolidates access to emergency treatment centers, primary care physicians, web-based information, and other healthcare channels. This unified system allows patients to compare and contrast different healthcare options through a single interface, eliminating the need to navigate multiple separate systems while maintaining the functional independence of each healthcare channel.
2Adaptability or versatility
If a unified triaging engine integrates multiple healthcare computing systems, then patients can conveniently compare and contrast different healthcare channels, but the system complexity increases
Solution Approach 1:
The unified triaging engine is segmented into distinct functional modules including a symptom analysis module that evaluates patient symptoms, a diagnosis module that determines potential conditions, a severity categorization module that classifies urgency levels, and a recommendation module that suggests appropriate healthcare channels. This modular segmentation allows the system to handle the complexity of integrating multiple healthcare systems while maintaining manageable, independent components that can be developed and maintained separately.
3Loss of information
If patients independently decide which healthcare channel to use, then they have autonomy in choosing, but they are unaware of different options and may elect more expensive or comprehensive care than needed
Solution Approach 1:
The triaging engine provides feedback to patients by presenting personalized recommendations that include information about different healthcare channels suitable for their specific symptoms. The system analyzes patient input, compares it against medical knowledge bases, and returns structured information about appropriate care options, their relative merits, and expected costs. This feedback loop empowers patients with the information they need to make informed decisions while guiding them toward cost-effective care choices.
Data Source
AI summary
A method for intelligently triaging patients may be provided. The computer-implemented may diagnose a patient based up a received set of medical symptoms. In response, to the diagnosis, a filterable and/sortable list of healthcare service recommendations may be generated. The list of healthcare services may be generated based upon an analysis of a plurality of user data. Each recommendation on the list of healthcare service recommendations may correspond to a plurality of metadata describing the associated healthcare service. When a user selects a particular healthcare service from the list of healthcare service recommendations, the method may include interconnecting a client device with a computing system associated with the particular healthcare service.