Adaptive Medicine Limitation Management for Infusion Pumps
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Solution Overview
Problem
Existing medicine information management systems for medical equipment, such as infusion pumps, rely on uniformly defined limitations that may not be optimal due to advancements in medicine, leading to potential inaccuracies in dosage restrictions.
Innovation Solution
A medicine information management device and method that generate and store administration-level information associated with medicine usage, including trouble information and limitation data, to analyze and display alert occurrence frequencies and limitation ranges, enabling Continuous Quality Improvement (CQI) by suggesting changes to these limitations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If uniformly defined medicine limitations are used, then the system is simple and easy to operate, but the accuracy and optimality of dosage restrictions deteriorate over time due to medical advancements
Solution Approach 1:
The patent transforms static, uniformly defined medicine limitations into dynamic, data-driven limitations. By continuously collecting actual usage data from medical equipment and analyzing trouble information, the system automatically updates limitation values to reflect current medical standards and real-world performance, making the limitations adaptive rather than fixed.
Solution Approach 2:
The patent implements a feedback mechanism where actual medicine usage data and trouble information are continuously fed back into the limitation determination process. The system analyzes this feedback data to identify patterns and adjust limitation values, creating a closed-loop system that self-improves over time rather than relying on static predefined values.
2Device complexity
If uniform medicine limitations are applied across all cases, then the device complexity is reduced, but the reliability of medicine usage safety deteriorates due to inability to adapt to new medical developments
Solution Approach 1:
The patent enables the limitation system to serve itself by automatically collecting usage data, analyzing trouble patterns, and updating limitation values without requiring manual intervention from medical professionals. The system self-updates its limitation parameters based on accumulated real-world data, reducing the need for external configuration while improving reliability.
Solution Approach 2:
The patent performs preliminary data collection and analysis to establish evidence-based limitations before they are applied. By gathering usage data and analyzing trouble information in advance, the system determines optimized limitation values that are grounded in actual performance data rather than theoretical assumptions, improving safety before deployment.
3Measurement precision
If actual usage data is collected and analyzed, then the optimality of medicine limitations is improved, but the loss of time for data processing and analysis increases
Solution Approach 1:
The patent implements continuous data collection and analysis rather than periodic batch processing. The system continuously monitors medicine usage and trouble information, performing real-time or near-real-time analysis to maintain up-to-date limitation values without requiring dedicated processing time intervals, thus minimizing time loss while maintaining precision.
Solution Approach 2:
The patent applies partial analysis by focusing on specific trouble patterns and usage scenarios that are most relevant to limitation optimization. Rather than analyzing all possible data equally, the system identifies and processes only the most critical data points, reducing processing time while maintaining the quality of limitation determination.
Data Source
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AI summary
It is to provide a medicine information management device and so on that enables CQI of information on a use limitation or the like of a medicine used in medical equipment and so on. There is provided a medicine information management device 10 including: generating and storing administration-level-information-associated information on the number of doses that is actual information on the number of doses of administration level information; storing medicine limitation information that is limitation information for a use of a medicine in association with administration level information; storing trouble information generated when the medicine is actually used in the administration level information, in association with the medicine information and the administration level information; generating and storing number-of-doses-and-level-associated information on the number and level of troubles based on number information of the trouble information and the administration-level-information-associated information on the number of doses; generating medicine analysis information to show the number-of-doses-and-level-associated information on the number and level of troubles and the medicine limitation information as information associated with the administration-level-information-associated information on the number of doses; and displaying this medicine analysis information on a display unit 4a of a subject side terminal 3a.