Medical Scope Management System for Predicting Cleaning Bottlenecks
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Solution Overview
Problem
The existing medical facility management systems face challenges in efficiently managing endoscopic scopes, leading to potential delays or cancellations of examinations due to inadequate cleaning apparatus capacity, resulting in incorrect restocking requests and inefficiencies.
Innovation Solution
A medical instrument management support apparatus that includes an examination schedule memory unit, cleaning capacity memory unit, cleaning schedule generation unit, and scope shortage determination unit, which generates cleaning schedules and predicts scope shortages based on examination schedules and cleaning apparatus availability, enabling timely restocking requests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple cleaning apparatuses are installed to increase cleaning capacity, then the cleaning capability is improved, but the system complexity and cost increase
Solution Approach 1:
The system performs preliminary simulation of scope availability based on examination schedules and cleaning apparatus status before actual examinations occur. This allows prediction of potential scope shortages in advance, enabling proactive restocking decisions rather than reactive responses to failures.
Solution Approach 2:
The system continuously monitors the operational status of cleaning apparatuses and feeds this information back into the simulation model. This feedback mechanism allows the system to dynamically adjust predictions and restocking recommendations based on real-time changes in cleaning capacity.
2Reliability
If restocking requests are made frequently to ensure scope availability, then examination schedule reliability is improved, but unnecessary restocking requests and costs increase
Solution Approach 1:
The system simulates scope availability in advance based on scheduled examinations and cleaning timelines, identifying potential shortages before they occur. This preliminary assessment enables restocking requests to be made only when genuinely necessary, avoiding both shortages and unnecessary requests.
Solution Approach 2:
The system replaces manual judgment and ad-hoc restocking decisions with an automated simulation-based determination mechanism. This mechanical substitution provides objective, data-driven restocking recommendations that eliminate human error and bias in assessing scope availability.
3Loss of substance
If restocking requests are delayed to reduce unnecessary requests, then restocking costs are reduced, but examination delays or cancellations may occur
Solution Approach 1:
By simulating scope availability in advance, the system identifies potential shortages before examinations begin. This allows restocking requests to be made at the optimal time - early enough to prevent examination delays but not so early as to constitute unnecessary requests.
Solution Approach 2:
The system autonomously determines restocking needs based on simulation results without requiring manual intervention. This self-service capability ensures that restocking decisions are made automatically at the correct timing, balancing cost reduction with examination schedule maintenance.
4Adaptability or versatility
If manual monitoring of scope availability is performed, then flexibility in decision-making is maintained, but measurement precision and response time deteriorate
Solution Approach 1:
The system replaces manual monitoring with an automated simulation mechanism that precisely calculates scope availability based on examination schedules and cleaning apparatus status. This substitution maintains decision flexibility while dramatically improving measurement precision and response time.
Solution Approach 2:
The simulation system acts as an intermediary between raw data (examination schedules, cleaning status) and decision-making. This intermediary processes and structures the information, providing accurate scope availability assessments that inform flexible restocking decisions without requiring manual analysis.
Data Source
AI summary
The examination schedule memory unit stores an examination schedule including the starting time and the ending time of each examination. A cleaning capacity memory unit stores cleaning-capacity information that specifies the cleaning capacity of cleaning apparatuses that clean a scope used for the examination. A cleaning schedule generation unit generates a cleaning schedule for cleaning a used scope produced at the end of each examination with cleaning apparatuses having a cleaning capacity required by the cleaning-capacity information stored in the cleaning capacity memory unit. The scope shortage determination unit determines whether or not there will be a shortage of scopes to be used for each examination in accordance with both the examination starting time specified by the above examination schedule and the cleaning ending time specified by the cleaning schedule.