Display Control Device for Ambulance Dispatch Risk Visualization
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Solution Overview
Problem
Ambulances often take longer than expected to arrive at emergency calls due to dispatch status issues, making it challenging to determine optimal ambulance deployment and assess deployment satisfaction effectively.
Innovation Solution
A display control device and method that visualize location information of ambulances, predictive distributions of emergency occurrence points, and risk levels, which are determined by the time required for ambulances to arrive or the distance between ambulances and occurrence points, to identify areas where emergency vehicle arrival times are prolonged.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If ambulance deployment is determined by human judgment or simple system calculation, then the decision-making process is straightforward, but the accuracy and reliability of deployment satisfaction assessment deteriorates due to inability to comprehensively consider real-time operational status of multiple ambulances
Solution Approach 1:
The patent introduces an information processing system that acts as an intermediary between complex real-time ambulance operational data and human decision-makers. The system calculates comprehensive deployment satisfaction indices by processing multiple parameters (ambulance locations, operational statuses, call volumes, response times) and presents simplified visualizations including maps and bar graphs, thereby maintaining high reliability without requiring humans to directly manage the complexity
Solution Approach 2:
The patent replaces manual human judgment with automated information processing and calculation systems. The system automatically computes deployment satisfaction indices using predetermined formulas that consider real-time operational status of multiple ambulances, call volumes, and response times, substituting mechanical human decision-making with computational algorithms to achieve higher reliability and consistency
2Measurement precision
If comprehensive real-time operational status of multiple ambulances is considered for deployment decisions, then the accuracy of deployment satisfaction assessment improves, but the complexity of information processing and analysis deteriorates making it difficult for humans to process
Solution Approach 1:
The patent extracts and separates complex operational parameters into distinct measurable components including ambulance locations, operational statuses (on-duty, off-duty, en route), call volumes, and response times. Each parameter is independently calculated and then integrated into the overall deployment satisfaction index through predetermined formulas, allowing precise measurement while managing complexity through systematic decomposition
Solution Approach 2:
The patent employs visual color-coding in map displays to represent different operational statuses and risk levels of ambulance deployment. Different colors indicate varying levels of deployment satisfaction and risk, allowing humans to quickly comprehend complex real-time operational information without needing to process detailed numerical data, thus improving measurement precision while reducing perceived complexity
3Area of stationary object
If ambulance deployment is optimized for coverage area, then the number of areas covered increases, but the response time to emergency calls in certain areas deteriorates due to increased distance from ambulances
Solution Approach 1:
The patent calculates deployment satisfaction indices using multiple adjustable parameters including coverage area, response time thresholds, and risk level criteria. By changing these parameters dynamically based on real-time conditions, the system can optimize the balance between coverage area and response time, allowing flexible adjustment rather than fixed trade-offs
Solution Approach 2:
The patent implements dynamic ambulance deployment assessment that continuously updates deployment satisfaction indices based on real-time operational status changes. The system can dynamically identify areas where response time may deteriorate and alert dispatchers to redistribute ambulances, making the coverage-area versus response-time balance adaptable rather than static
4Productivity
If risk level is determined solely by distance between ambulance and occurrence point, then the calculation is simple, but the accuracy of risk assessment deteriorates by not considering actual arrival time and operational status
Solution Approach 1:
The patent merges multiple risk assessment factors including distance, estimated arrival time, and ambulance operational status into a single comprehensive risk level determination. The system combines these parameters using predetermined formulas to calculate overall deployment satisfaction indices, achieving both efficiency through integrated calculation and precision through multi-factor consideration
Data Source
AI summary
A display control device estimates an occurrence time at which a call occurs at an occurrence point for each of a plurality of occurrence points on the basis of a predictive distribution of an occurrence point representing a point where a call for an emergency vehicle occurs. The display control device executes a simulation of an emergency activity in which any one of a plurality of emergency vehicles available for dispatch is dispatched to the occurrence point at the occurrence time for each of the plurality of occurrence points on the basis of the occurrence time of each of the plurality of occurrence points and an operational status of each of the plurality of emergency vehicles. On the basis of a simulation result, the display control device extracts, from the plurality of occurrence points, an occurrence point at which the distance between an emergency vehicle available for dispatch and the occurrence point is equal to or greater than a threshold, and calculates a risk level such that the risk level of an area to which the extracted occurrence point belongs becomes high. The display control device controls a display unit to display the risk level.


