Insulin Delivery Control Using Hidden Auto-Dose Confirmation
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Solution Overview
Problem
Existing diabetes treatment devices require patients to manually calculate and administer insulin bolus dosages, which can be burdensome and prone to errors due to the need to consider various therapeutic relevant conditions.
Innovation Solution
A medication delivery device that automatically determines and delivers an intended dose of medication without displaying the dose on its user interface, using analyte measurement data, therapy parameters, and location sensors to control the delivery mechanism.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the device displays the intended dose on the user interface, then the user can review and verify the dosage, but the user is burdened with dosage calculations and may make errors
Solution Approach 1:
The device performs self-service by automatically calculating and delivering the medication dose without requiring user intervention in the calculation process. The control circuitry autonomously determines the dose based on analyte data and therapy parameters, eliminating the burden on the user while maintaining accuracy through automated computation.
Solution Approach 2:
The patent replaces manual mechanical calculation with automated electronic computation. Instead of requiring the user to manually calculate dosage based on analyte measurements and therapy parameters, the control circuitry performs automated calculations using stored algorithms and parameters, thereby eliminating user burden while maintaining reliability.
2Ease of operation
If the device automatically delivers medication without user input, then ease of operation is improved, but device complexity increases due to automated dose determination systems
Solution Approach 1:
The device performs preliminary actions by pre-storing therapy parameters, algorithms for dose calculation, and user profile data in memory before actual medication delivery. This allows the automated system to operate without requiring complex real-time decision-making, thereby reducing operational complexity while maintaining ease of use.
Solution Approach 2:
The system incorporates feedback mechanisms where the control circuitry receives analyte measurement data, compares it against stored therapy parameters and target ranges, and automatically adjusts the dose accordingly. This closed-loop feedback system simplifies operation for the user while managing complexity through systematic data processing and automated decision-making.
3Measurement precision
If the device displays detailed dosage information, then measurement precision is improved, but loss of information increases as the user interface becomes cluttered with calculation details
Solution Approach 1:
The patent extracts and separates the dosage calculation and determination functions from the user interface display. The control circuitry performs precise calculations internally using stored algorithms and therapy parameters, while the user interface displays only simplified, actionable information such as the actual dose to be delivered or confirmation messages, thereby maintaining precision without cluttering the display.
Solution Approach 2:
The control circuitry acts as an intermediary between the raw analyte data and the user interface display. It processes detailed measurement data and therapy parameters internally, then presents simplified, processed information to the user. This intermediary function maintains measurement precision through accurate calculations while preventing information overload on the user interface.
Data Source
AI summary
Medication delivery methods, devices and systems are provided, the medication delivery device includes user interface elements, control circuitry, and a memory. The method includes receiving analyte measurement data of a user, presenting information related to the analyte measurement data to the user, and determining an intended dose of medication based on at least one of the analyte measurement data, optionally, therapeutic relevant conditions, therapy parameters, or a calculated insulin-on-board (IOB) value. When the user is queried to indicate that the user is ready for the delivery without presenting the intended dose on any of the one or more user interface elements of the medication delivery device, the intended dose is automatically delivered after receiving the user's indication.


