Self-Treat Cognitive Testing for Diabetic Alert Escalation
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Solution Overview
Problem
Individuals with diabetes may be unable to recognize or respond to critical blood glucose level fluctuations due to mental confusion, leading to ineffective self-treatment during hyperglycemic or hypoglycemic events, and unnecessary emergency alerts may be triggered when they are capable of managing their condition.
Innovation Solution
Implementing a self-treat test on user devices to assess the individual's cognitive and physical abilities to perform self-treatment, using pass/fail criteria, and adjusting a timer based on severity to determine if they can manage the condition independently, with alerts for assistance if necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If emergency alerts are contacted when user fails to respond to alerts, then user safety is improved, but communication resources and processing resources are wasted when user is capable of self-treatment
Solution Approach 1:
The system performs preliminary cognitive assessment through a self-treat test before triggering emergency alerts. This preliminary action determines whether the user is capable of self-treatment, preventing unnecessary emergency communications and conserving communication resources while maintaining user safety.
Solution Approach 2:
The system implements feedback by monitoring user responses to alerts and cognitive test results. Based on this feedback, the system intelligently decides whether to escalate to emergency services or allow self-treatment, optimizing the balance between user safety and resource conservation.
2Loss of energy
If self-treat test is implemented to assess user capability, then unnecessary emergency alerts are reduced, but device complexity increases
Solution Approach 1:
The system uses a mobile device that the user already possesses, leveraging its existing capabilities for communication, display, and processing. This multi-functional approach avoids adding dedicated complex hardware while still implementing comprehensive cognitive assessment and emergency alert management.
Solution Approach 2:
The cognitive test interface is implemented as software on existing mobile devices rather than requiring specialized hardware. This copying of assessment functionality to general-purpose devices reduces device complexity while maintaining test effectiveness.
3Ease of operation
If timer is set to allow user time to self-treat, then user autonomy is improved, but response time for emergency assistance may be delayed
Solution Approach 1:
The timer duration is dynamically adjusted based on the severity of the diabetic event and user response. For less severe conditions, longer timers allow greater autonomy. For severe conditions or failed cognitive tests, the timer is shortened or bypassed, ensuring timely emergency response. This dynamic adjustment optimizes both user autonomy and response time.
Data Source
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AI summary
A user may be alerted by one or more user devices when the blood glucose level of the user is outside of a predefined threshold. When the predefined threshold for the blood glucose level of the user is reached, the user be in a state of elevated mental confusion and may be unable to realize the extreme state or take immediate action self-treat the diabetic condition. In response, the user may be provided with a self-treat test that includes pass/fail criteria to test the ability of the user to self-treat themselves. If the user passes the self-treat test, the user may be assumed to be able to self-treat the diabetic condition. If the user fails the test, a diabetes-related alert may be provided via a user device.