Rounding Imaging Management Optimizing Mobile Radiography Routes
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Solution Overview
Problem
In medical settings, rounding imaging plans often deviate from actual situations due to varying factors like assistant availability, leading to potential delays in treatments such as inspections or rehabilitation, which can impact the efficiency of radiography services.
Innovation Solution
A rounding imaging management apparatus that acquires imaging order information and past necessary time data to create a dynamic rounding plan, incorporating factors like patient schedules, assistant schedules, and real-time status updates to optimize the route and timing of mobile radiography apparatus movements, ensuring the shortest time route based on actual conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Length of moving object
If a rounding plan is created based on shortest distance route, then movement distance of mobile radiography apparatus is minimized, but actual necessary time may be inaccurate due to varying factors like assistant availability
Solution Approach 1:
The system changes the parameter basis from distance-only optimization to time-based optimization by incorporating historical time data and real-time status information. The creation unit calculates predicted total necessary time based on historical imaging times, movement times, and assistant availability, then creates routes that minimize time rather than distance.
Solution Approach 2:
The system implements feedback by acquiring actual necessary time from completed rounding imaging and storing it in time results data. This historical data is then used to improve future rounding plan accuracy. The system also acquires real-time status information during rounding imaging to dynamically adjust the plan.
2Device complexity
If rounding plan is created without considering real-time status, then plan creation is simple, but deviation from actual situation occurs leading to treatment delays
Solution Approach 1:
The system performs preliminary actions by acquiring imaging order information, map information, and time results data before creating the rounding plan. The creation unit pre-calculates predicted total necessary time and creates an initial rounding route based on this information before any rounding imaging begins.
Solution Approach 2:
The system makes the rounding plan dynamic by acquiring real-time status information during rounding imaging and updating the plan accordingly. The output controller outputs updated rounding plans that reflect current conditions, allowing the system to adapt to changing situations rather than following a static predetermined route.
3Loss of time
If historical time data is incorporated into rounding plan creation, then predicted total necessary time becomes more accurate, but data processing complexity increases
Solution Approach 1:
The system applies partial action by selectively using historical time data - it acquires time results data for specific imaging orders and uses this subset of data to calculate predicted total necessary time, rather than processing all available historical data. This reduces processing complexity while maintaining accuracy.
Data Source
AI summary
A CPU of a rounding imaging management apparatus functions as a first acquisition unit, a second acquisition unit, a creation unit, and an output controller. The first acquisition unit acquires imaging order information indicating content of radiography in the rounding imaging to be performed. The second acquisition unit acquires, from time results data in which a necessary time in the rounding imaging performed in the past is registered, the necessary time. The creation unit creates a rounding plan of the rounding imaging on the basis of the imaging order information and the necessary time. The output controller performs a control for outputting the rounding plan.