Responder Network Selection Using User Preferences
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Solution Overview
Problem
Existing public responder networks face challenges in efficiently selecting and notifying the most appropriate responders and AEDs for nearby cardiac arrest incidents, due to limitations in current selection criteria and notification methods.
Innovation Solution
The development of methods and user interfaces that allow users to set preferences for responder networks, including device mobility, accessibility, notification settings, and geographic preferences, to optimize the selection and notification of responders and AEDs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional responder networks notify all responders within a defined radius, then more responders are available to respond to incidents, but notification efficiency decreases and response time increases
Solution Approach 1:
The system changes the parameters of responder selection by introducing multiple weighted criteria (proximity, AED availability, responder status, geographic preferences) instead of using a single radius-based parameter. This allows the system to identify and notify the most appropriate responders more quickly, improving both notification efficiency and response time while maintaining high responder availability.
Solution Approach 2:
The patent replaces the simple mechanical approach of notifying all responders within a fixed radius with an intelligent algorithmic system that processes multiple data points and weights different criteria. This substitution enables the system to make faster, more accurate decisions about which responders to notify, reducing notification time while ensuring reliable responder availability.
2Device complexity
If responder networks use simple radius-based notification, then system complexity is reduced, but notification precision and effectiveness decrease
Solution Approach 1:
The system transitions from a single parameter (radius) to multiple parameters (proximity, AED availability, responder status, geographic preferences) with different weights. This multi-parameter approach significantly improves responder selection precision while the automated nature of the algorithm keeps the system complexity manageable.
Solution Approach 2:
The system performs preliminary actions by pre-establishing responder profiles, AED locations, and geographic preference data before incidents occur. When an incident happens, the algorithm can quickly process this pre-collected information to make precise responder selections, improving accuracy without requiring complex real-time analysis.
3Ease of operation
If AEDs are deployed in various public locations, then AED accessibility is improved, but difficulty in locating and selecting the nearest available AED increases
Solution Approach 1:
The system uses feedback mechanisms to continuously track AED locations, availability status, and incident reports. This real-time feedback enables the algorithm to accurately identify and notify responders about the nearest available AEDs, making it easier for the system to locate and select appropriate AEDs even as they are distributed across many locations and move between stationary and mobile states.
Solution Approach 2:
The notification system serves multiple functions: it identifies incident locations, locates nearby AEDs, determines AED availability, and notifies appropriate responders. This multi-functional approach consolidates several tasks into a single system, improving AED location identification efficiency while maintaining broad AED accessibility across public locations.
Data Source
AI summary
Methods, user interfaces and systems are described that enable responder preferences to be considered during deployment of a public responder network. In some embodiments, a user is able to set preferences such as a mobility status, a public accessibility preference, a incidents notifications preference or a geographic preference associated with a medical device that is a part of the public responder network. In some embodiments, the user is able to select or define an area for which incident notifications are desired or are to be restricted in some manner. The described approach is well suited for public responder networks that include medical devices such as defibrillators (e.g., AEDs) in the network.