Personalized Polypill System for Polypharmacy Adherence

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Solution Overview

Problem

Current medication regimens often result in high 'pill burden' and poor compliance due to the complexity of polypharmacy, leading to adverse outcomes, increased healthcare costs, and morbidity, as standard drugs do not account for individual patient characteristics such as genetics, renal function, and lifestyle factors.

Innovation Solution

A system and device that use a computer processor to predict optimal drug selection, combination, and dosage based on patient-specific information, including pharmacogenomics, to produce personalized drug products, with features like a drug production device, bottle cap, and transdermal patch for controlled drug delivery, and a mobile app for adherence tracking and feedback.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If multiple separate medications are prescribed to treat different conditions, then comprehensive treatment coverage is achieved, but patient compliance deteriorates due to high pill burden and complex regimens

Engineering Contradiction:
Improvetreatment coverageVSAvoidpatient compliance
Core Design Contradiction:
Adaptability or versatilityVSEase of operation

Solution Approach 1:

The patent combines multiple separate medications into a single personalized polypill that contains multiple drug compounds in specific dosages. This merging approach maintains comprehensive treatment coverage for multiple conditions while dramatically simplifying the patient regimen to one pill per day, thereby resolving the contradiction between treatment versatility and compliance ease.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The personalized polypill serves multiple therapeutic functions simultaneously by incorporating various drug compounds targeting different conditions (e.g., hypertension, hyperlipidemia, diabetes). This multi-functional design allows a single medication vehicle to address diverse health needs, achieving both comprehensive treatment and improved patient adherence.

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Ease of manufacture

If standard dose medications are used for all patients, then manufacturing and prescribing simplicity is maintained, but individual patient needs are not met leading to poor therapeutic outcomes

Engineering Contradiction:
Improvedrug production simplicityVSAvoidtherapeutic effectiveness
Core Design Contradiction:
Ease of manufactureVSReliability

Solution Approach 1:

The patent applies local quality by customizing the composition, dosage, and formulation of each polypill according to individual patient characteristics including genetics, renal function, and specific health conditions. This personalized approach ensures each patient receives the precise medication mix needed for optimal therapeutic effectiveness while maintaining manufacturing feasibility through automated production systems.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The personalized polypill regimen is dynamic and adaptable, allowing modification of drug combinations and dosages based on patient response, changing health status, and new medical information. This dynamic customization capability enables the system to maintain high therapeutic effectiveness while working within manufacturing constraints through flexible formulation design.

Inventive Principle:
Principle #15Dynamics

3Adaptability or versatility

If complex medication regimens are prescribed, then comprehensive disease management is achieved, but healthcare costs increase due to poor adherence and preventable hospitalizations

Engineering Contradiction:
Improvedisease management coverageVSAvoidhealthcare system resources
Core Design Contradiction:
Adaptability or versatilityVSLoss of energy

Solution Approach 1:

By merging multiple medications into a single personalized polypill, the system dramatically improves patient adherence while maintaining comprehensive disease management coverage. This reduction in pill burden prevents hospitalizations related to non-compliance, thereby reducing healthcare system resource consumption and costs without sacrificing treatment effectiveness.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent incorporates feedback mechanisms including patient monitoring, adherence tracking, and outcome measurement that allow continuous optimization of the personalized polypill regimens. This feedback loop ensures comprehensive disease management while identifying and addressing adherence barriers, ultimately reducing preventable healthcare costs through improved patient compliance.

Inventive Principle:
Principle #23Feedback

Data Source

PatentEP2603900B1System and methods for the production of personalized drug products
Publication Date: 2024.04.24 INTELLIMEDICINE INC
  • EP2603900B1 patent drawingFigure 1
  • EP2603900B1 patent drawingFigure 2
  • EP2603900B1 patent drawingFigure 3~4

AI summary

A system and method for determining an optimal combination drug product for a particular patient includes a processor that receives patient information and determines an optimal combination drug product based on the received information. A system which can provide information regarding predicted events or pathologies based on received patient information and guidance on subsequent steps to ameliorate, treat or intervent. A drug production device includes a plurality of drug containers, each of which are coupled to a drug dispensing channel. A controller controls the dispensing of drug through each channel, and a combination drug product is produced from the dispensed drugs. A combination drug product includes a plurality of discrete units of a first drug, and a plurality of discrete units of a second drug. A transdermal patch includes a plurality of drug compartments, each containing a quantity of drug product, and a controller for controlling the release of drugs from each compartment. Feedback loop elements can enable iterations to optimized personalized doses.