Medication Dispenser Learning Adherence Routines Without Pre-Programming

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Solution Overview

Problem

Existing medication dispensing technologies fail to accurately monitor and report adherence to prescribed medication schedules, as they often require frequent battery replacements, are prone to inaccuracies, and necessitate pre-programming, which adds complexity and power consumption.

Innovation Solution

A medication dispenser apparatus that learns a patient's medication regimen by detecting pill bottle openings and usage patterns, using a microcontroller and Bluetooth Low Energy technology to provide visual feedback and transmit adherence data, eliminating the need for manual programming and reducing power consumption.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If pre-programming is used to set medication schedules, then adherence monitoring accuracy is improved, but device complexity and power consumption increase

Engineering Contradiction:

Improveadherence monitoring accuracyVSAvoidprogramming complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system automatically learns and adapts to patient behavior patterns without requiring manual programming. The microcontroller monitors bottle opening events and autonomously determines medication schedules, eliminating the need for complex pre-programming while maintaining monitoring accuracy

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system uses feedback from bottle opening events to continuously learn and refine medication schedules. By monitoring when patients actually open the bottle, the system adapts its understanding of the regimen, improving accuracy over time without additional programming complexity

Inventive Principle:

Principle #23Feedback

2Measurement precision

If pre-programming is used to set medication schedules, then adherence monitoring accuracy is improved, but power consumption increases

Engineering Contradiction:

Improveadherence monitoring accuracyVSAvoidpower consumption

Core Design Contradiction:

Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The system eliminates power-intensive pre-programming operations by automatically learning schedules from observed behavior. The microcontroller processes simple bottle opening events rather than executing complex programmed instructions, significantly reducing power consumption while maintaining monitoring capability

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system uses lightweight, low-power sensing mechanisms that detect bottle openings without requiring continuous power-intensive operations. This approach trades detailed continuous monitoring for event-based detection, reducing overall power consumption while capturing essential adherence data

Inventive Principle:

Principle #27Cheap short-living objects (Disposable)

3Reliability

If frequent battery replacement is required, then device reliability is improved, but loss of time and ease of operation worsen

Engineering Contradiction:

Improvemonitoring reliabilityVSAvoidtime for battery replacement

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system achieves reliable monitoring through autonomous operation with minimal maintenance. By using low-power learning and event detection algorithms, the battery lasts much longer, eliminating frequent replacements and the associated time loss and operational disruptions

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system uses periodic bottle opening events as natural triggers for monitoring activities rather than continuous operation. This event-driven approach allows the system to remain in low-power states between events, extending battery life and reducing replacement frequency

Inventive Principle:

Principle #19Periodic action

4Measurement precision

If pre-programming is required, then medication schedule accuracy is improved, but ease of operation and pharmacy burden worsen

Engineering Contradiction:

Improveschedule accuracyVSAvoidpharmacy workflow simplicity

Core Design Contradiction:

Measurement precisionVSEase of operation

Solution Approach 1:

The system eliminates the need for pharmacy staff to perform complex programming tasks. The microcontroller automatically learns the medication schedule by observing when the patient opens the bottle, transferring the programming function from the pharmacy setting to the patient's actual usage behavior

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system uses real-time feedback from bottle opening events to automatically determine and adjust the medication schedule. This eliminates the need for manual programming while maintaining schedule accuracy, as the system learns the actual usage pattern directly from patient behavior

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS12131813B1Localized learning of medication routine

Publication Date: 2024.10.29 VERILY HEALTH INC

AI summary

A medication dispenser apparatus is described. The apparatus includes a container configured to hold medication, a display interface, and a controller configured to perform, in sequence, a learning operation in which the controller learns a medication dispensing regimen of the container, a validation operation in which the controller validates the learned medication dispensing regimen; and a notification operation in which the controller provides on the display interface a status of use of the container for medication dispensing in relation to the learned medication dispensing regimen.