Personalized Treatment System Compliance-Based
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Solution Overview
Problem
Current methods for combining bioactive agents with artificial sensory experiences lack an efficient mechanism to tailor treatments based on individual compliance and specific health attributes, leading to suboptimal therapeutic outcomes.
Innovation Solution
A system that accepts an individual's compliance indication and presents a bioactive agent based on that compliance, utilizing a combination of circuitry and programming to query databases for prescription medications and artificial sensory experiences, thereby addressing specific health attributes and improving treatment efficacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a combination treatment system is implemented to personalize therapy, then treatment efficacy is improved, but device complexity increases
Solution Approach 1:
The system is divided into separate functional modules: a database module storing health attributes and treatment options, a processing module that receives compliance data and queries the database, and a presentation module that displays recommended treatments. This segmentation allows the complex personalization function to be implemented through coordinated simple modules, improving treatment efficacy while managing system complexity.
Solution Approach 2:
A computing device acts as an intermediary between the user's compliance data and the treatment recommendation system. The computing device receives compliance indications, queries the database, and presents treatment options, serving as a mediator that simplifies the interaction between the user and the complex treatment selection process.
2Adaptability or versatility
If compliance monitoring is integrated into the treatment system, then treatment personalization is improved, but ease of operation deteriorates
Solution Approach 1:
The system automatically processes compliance data without requiring manual intervention. The computing device autonomously receives compliance indications, queries the database for matching treatments, and presents recommendations, eliminating the need for users to manually input health attributes or navigate complex treatment selection processes.
Solution Approach 2:
The system implements a feedback loop where compliance data from users is continuously received and processed to generate updated treatment recommendations. This automatic feedback mechanism allows the system to adapt to changing compliance patterns while requiring minimal user input beyond the initial compliance indication.
Data Source
AI summary
Methods, computer program products, and systems are described that include accepting an indication of an individual's compliance with an artificial sensory experience and presenting an indication of a bioactive agent at least partly based on the indication of the individual's compliance with the artificial sensory experience.