Pandemic Diagnostic Tool for Emergency Dispatch
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Solution Overview
Problem
Existing methods for reporting and tracking pandemic illnesses are inefficient due to inconsistent and untimely reporting, lack of uniformity in symptom data collection, and inadequate tools for emergency dispatchers to handle pandemic situations effectively, leading to challenges in monitoring and containing outbreaks.
Innovation Solution
A computer-implemented emergency dispatch system with a pandemic diagnostic tool that facilitates consistent and uniform collection of symptom information, providing detailed instructions and protocols to dispatchers to aid in identifying patterns and trends, and assisting in the management of pandemic outbreaks by calculating the likelihood of infection and advising responders on precautions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional reporting methods are used for pandemic illnesses, then reporting can be performed with simple procedures, but the reporting is inconsistent and untimely, leading to poor data quality
Solution Approach 1:
The patent introduces an automated voice recognition system and natural language processing intermediary that translates casual caller descriptions into standardized symptom data. This intermediary layer bridges the gap between simple caller input and consistent data requirements, maintaining data precision without increasing perceived complexity for users.
Solution Approach 2:
The system enables self-service reporting where callers independently provide symptom information through voice or text input, and the automated system processes this input into standardized format. This eliminates the need for trained personnel to conduct interviews, achieving consistent data collection with minimal human intervention and no increase in operational complexity.
2Measurement precision
If manual symptom collection methods are used, then the system is easy to operate, but there is a lack of uniformity in symptom data collection
Solution Approach 1:
The patent transforms unstructured symptom descriptions into standardized parameters through automated processing. The system changes the state of raw input data into structured, uniform symptom categories with consistent formatting, enabling precise data collection while requiring minimal operational effort from users through automated transformation.
Solution Approach 2:
The patent replaces manual mechanical processes of symptom interviewing and data entry with automated voice recognition and natural language processing systems. This substitution maintains ease of operation by allowing natural input while achieving uniformity through automated standardization of the collected data.
3Reliability
If comprehensive symptom monitoring is implemented, then outbreak tracking capability is improved, but the system requires complex protocols and procedures
Solution Approach 1:
The patent creates a universal monitoring system that handles multiple functions including symptom collection, data standardization, outbreak detection, and resource coordination through a single integrated platform. This multi-functional approach improves outbreak tracking reliability without proportionally increasing complexity, as the same core infrastructure supports all functions.
Solution Approach 2:
The system implements automated feedback loops where collected symptom data is continuously analyzed, and results are fed back into the monitoring process to detect outbreaks early. This automated feedback mechanism improves tracking reliability by enabling real-time detection and response without requiring complex manual analysis procedures.
4Loss of time
If early reporting of pandemic symptoms is enabled, then response time is improved, but the system requires advanced diagnostic tools and protocols
Solution Approach 1:
The patent implements preliminary action by enabling immediate symptom reporting at the point of occurrence through automated systems. Callers can report symptoms as they experience them without waiting for clinical evaluation, and the system preliminarily processes this data to detect patterns. This reduces reporting time delay while keeping diagnostic tools simple, as the automation handles the complexity of early detection and analysis.
Data Source
AI summary
A system and method to assist an emergency medical dispatcher in responding to emergency calls. A computer implemented emergency medical dispatch protocol includes interrogatories for a dispatcher to ask a caller to generate an appropriate response. A diagnostic tool is provided to aid the dispatcher in gathering symptom information for a patient who may be suffering from a pandemic illness, such as a severe respiratory infection like influenza. The diagnostic tool facilitates uniform and consistent gathering of symptom information relating to a pandemic outbreak. The information may be stored and/or processed for use in monitoring and/or tracking pandemic outbreaks. The diagnostic tool can be launched automatically by the emergency dispatch protocol, or manually by a dispatcher. The diagnostic tool presents a user interface that provides, among other things, instructions, symptoms, and input fields.