Automated Insulin Dose Titration via Closed-Loop Feedback
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Solution Overview
Problem
Current diabetes management practices rely on manual adjustments of insulin doses by healthcare providers, which are often infrequent and not automatically adapted to changing glucose levels, leading to suboptimal glucose control and increased patient burden.
Innovation Solution
A system comprising a patient computing device and a provider computing device, equipped with titration application components that log glucose and insulin dose data, allowing for automatic determination and adjustment of insulin doses based on real-time glucose data and predefined sensitivity constants.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual insulin dose adjustments are made by healthcare providers at appointments, then patient compliance and safety are maintained, but glucose control is suboptimal and adjustment frequency is insufficient
Solution Approach 1:
The system enables automatic self-adjustment of insulin doses through the titration application that continuously monitors glucose levels and automatically prescribes dose adjustments without requiring provider intervention for each change, while maintaining safety through predefined algorithms and provider-set parameters
Solution Approach 2:
The system implements continuous feedback loops where glucose monitor data is automatically fed into the titration application, which then adjusts insulin dosing recommendations based on real-time glucose trends and predefined target ranges, creating a closed-loop control system
2Reliability
If providers review glucose logs weekly and make frequent adjustments, then glucose control improves quickly, but staff time and patient compliance burden increase significantly
Solution Approach 1:
The titration application automatically performs the complex task of analyzing glucose patterns and calculating dose adjustments, eliminating the need for manual staff review and reducing patient compliance requirements while maintaining frequent adjustment capability
Solution Approach 2:
The system replaces manual mechanical processes of paper log review and calculation with automated electronic data processing algorithms that continuously analyze glucose monitor data and compute optimal dosing recommendations
3Ease of operation
If insulin doses are adjusted manually between appointments, then patient autonomy is maintained, but doses are not automatically adapted to changing glucose levels
Solution Approach 1:
The system maintains patient autonomy while enabling rapid adaptation through automated feedback mechanisms that continuously monitor glucose levels and automatically update dosing recommendations based on real-time data, allowing the system to respond dynamically to changing glucose patterns
Solution Approach 2:
The titration application transforms static manual dosing instructions into dynamic automated recommendations that continuously adapt to changing glucose levels and trends, allowing the dosing regimen to evolve automatically in response to patient needs
Data Source
AI summary
A system for prescribing insulin doses is provided, wherein a first titration application component structured to is implemented on a patient computing device of the patient, wherein the first titration application component logs glucose level data measured from the patient and insulin dose data indicative of a number of insulin doses given to the patient. The system includes a provider computing including a second titration application component, wherein the second titration application component is structured and configured to receive the glucose level data and the insulin dose data from the patient computing device, determine a correction factor based on a sensitivity constant specified by the healthcare provider, and determine the insulin dose recommendation for the patient based on the insulin dose data, the glucose level data and the correction factor, wherein the provider computing device is structured and configured to transmit the insulin dose recommendation to the patient computing device.