Dynamic Routing Engine for Healthcare Navigation
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Solution Overview
Problem
Healthcare environments present challenges in navigating users efficiently due to restricted areas, obstacles, and physical limitations, making it difficult for both clinicians and non-clinicians to identify optimal routes to destinations within these environments.
Innovation Solution
A system that identifies an optimal route by considering user location, destination, and various route factors such as restricted areas, obstacles, and physical limitations, using a routing engine with components for receiving, locating, identifying, determining, and communicating routes, and filtering out conflicting paths to provide customized navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a primary route is identified based on location information, then navigation efficiency is improved, but the route may conflict with restricted areas, obstacles, or physical limitations
Solution Approach 1:
The routing system dynamically adjusts the route based on user-specific factors. The system transitions from a static primary route to a dynamic optimal route that adapts to individual user needs, physical limitations, and real-time conditions in the healthcare environment.
Solution Approach 2:
The system applies different routing criteria to different users based on their specific characteristics. Each user receives a customized route that considers their individual physical limitations, preferences, and requirements, rather than a uniform routing approach for all users.
2Reliability
If multiple route factors are considered to identify an optimal route, then route feasibility is improved, but system complexity increases
Solution Approach 1:
The system collects and stores user profile information, physical limitations, and preferences in advance. This preliminary data gathering allows the routing engine to quickly evaluate multiple factors without adding real-time complexity, as the decision-making process relies on pre-configured user-specific parameters.
Solution Approach 2:
The patent introduces a routing engine as an intermediary component that mediates between the primary route identification and the final optimal route determination. This intermediary layer systematically evaluates route factors against the primary route and coordinates the selection of alternative routes, managing complexity through structured processing.
3Reliability
If alternate routes are identified when primary route conflicts with route factors, then route feasibility is improved, but navigation time increases
Solution Approach 1:
The system implements a feedback mechanism where the routing engine continuously evaluates whether identified routes conflict with route factors. When conflicts are detected, the system automatically triggers alternative route identification and re-evaluation, ensuring that feasible routes are found through iterative refinement rather than exhaustive search.
Data Source
AI summary
Methods, systems, and computer storage media are provided for identifying an optimal route to a destination for a user. The optimal route is customized for the user based on one or more route factors. The route factors may include a physical limitation of the user or a restricted area of a healthcare environment. The route factors may also include obstacles within the route or user preferences. An optimal route is identified as such when no route factors conflict with the optimal route.