Insulin Dosage Data Segmentation for Accurate Daily Statistics
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Solution Overview
Problem
Managing insulin dosage data for diabetes patients is challenging due to the complexity of varying dosage amounts, types, and schedules, making it difficult to gather and analyze effectively.
Innovation Solution
An insulin management system comprising an insulin pump with a processor and memory to collect and store dosage data, and a data managing device that can transmit, process, and display this data, including features for distinguishing between complete and partial days of data to accurately calculate and visualize insulin usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If insulin dosage data from multiple days including partial days is collected and analyzed together, then more comprehensive data coverage is achieved, but calculation accuracy deteriorates due to inclusion of incomplete data
Solution Approach 1:
The patent segments the insulin dosage data into distinct time periods (complete days versus partial days) using end-of-day markers. This segmentation allows the system to separately identify and handle complete 24-hour periods from incomplete periods, enabling accurate statistical calculations to be performed only on complete days while still maintaining comprehensive data coverage by preserving partial day data for other analytical purposes.
2Ease of operation
If all insulin dosage data is processed uniformly without distinction between complete and partial days, then processing simplicity is maintained, but statistical accuracy deteriorates
Solution Approach 1:
The system performs preliminary processing by automatically inserting end-of-day markers at the appropriate positions in the insulin dosage data stream. This preliminary action pre-identifies complete 24-hour periods before statistical analysis begins, allowing the subsequent calculation process to simply reference these markers without complex conditional logic, thus maintaining processing simplicity while ensuring statistical accuracy.
3Measurement precision
If end-of-day markers are automatically inserted to distinguish complete from partial days, then data accuracy is improved, but device complexity increases
Solution Approach 1:
The insulin pump automatically performs the task of inserting end-of-day markers without requiring external intervention or complex external processing systems. The pump's internal processor identifies midnight transitions and inserts markers directly into the data stream, allowing the system to self-service the data preparation function and reducing the need for additional hardware or complex software components.
Data Source
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AI summary
A method is provided for managing insulin dosage data collected over a complete day and a partial day. The method includes providing, by an insulin pump, a plurality of insulin dosages over a complete day and a partial day and recording the insulin dosages. The method also includes recognizing a completion of the complete day, recording an end-of-day marker, and associating the end- of-day marker to the dosages delivered during the complete day. Moreover, the method includes identifying complete day dosage data and partial day dosage data. Additionally, the method includes performing a calculation of insulin dosage statistics and/or displaying and distinguishing between the complete day dosage data and the partial day dosage data. The calculation includes the complete day dosage data and excludes the partial day dosage data.