Responder Selection Using User Preferences in Public Networks
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Solution Overview
Problem
Existing public responder networks face challenges in efficiently selecting the most appropriate responders to notify of nearby cardiac arrest incidents, as current methods either notify all responders within a defined radius or rely on PSAP operators to make selections, both of which have drawbacks.
Innovation Solution
The proposed solution involves a system that allows users to set preferences for how medical devices, such as defibrillators, are incorporated into volunteer/public responder networks, including device mobility, accessibility, incident notification settings, and geographic preferences, to optimize responder selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all responders within a defined radius are notified, then the probability of finding an available responder increases, but the notification system complexity and resource consumption increase
Solution Approach 1:
The system segments responders into different priority groups (first responders, volunteer responders, bystanders) and notifies them in a hierarchical manner. This segmentation allows the system to maintain high reliability by having multiple notification tiers while reducing overall complexity by not treating all responders equally.
Solution Approach 2:
Responders pre-register their availability, capabilities, and preferred response areas before emergencies occur. This preliminary action allows the system to have responder information ready in advance, reducing real-time notification complexity while maintaining high probability of finding suitable responders.
2Measurement precision
If PSAP operators manually select responders, then responder selection accuracy improves, but response time increases
Solution Approach 1:
An automated notification system acts as an intermediary between the emergency incident and human responders. The system automatically matches incidents with suitable responders based on pre-registered information, eliminating the time-consuming manual selection process while maintaining accuracy through algorithmic matching.
Solution Approach 2:
The manual mechanical process of operator selection is replaced with an automated electronic notification system that uses algorithms to match incidents with responders. This substitution dramatically reduces response time while maintaining or improving selection accuracy through consistent application of matching criteria.
3Productivity
If responder preferences are not considered, then notification process is simpler, but responder effectiveness and response quality decrease
Solution Approach 1:
Responders complete preference surveys and capability profiles in advance, specifying their skills, equipment availability, and preferred service areas. This preliminary action captures preference information before emergencies occur, allowing the notification system to incorporate these preferences automatically without adding real-time complexity.
Solution Approach 2:
The notification system automatically incorporates responder preferences into the matching algorithm without requiring manual input during emergencies. Responders effectively serve themselves by pre-configuring their preferences, which the system then uses to optimize notification targeting, improving effectiveness while minimizing added complexity.
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.