Combination Treatment Selection System for Personalized Healthcare

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Solution Overview

Problem

Current methods fail to effectively combine medical prescriptions with artificial sensory experiences to address individual attributes, limiting personalized healthcare approaches.

Innovation Solution

A system that accepts individual attributes, queries databases for prescription medications and artificial sensory experiences, and presents indications of suitable combinations based on these attributes, utilizing a combination of hardware, software, and firmware to facilitate this process.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If current methods are used for medical prescriptions, then traditional treatment approaches are maintained, but personalized healthcare and treatment efficacy are limited

Engineering Contradiction:
Improvepersonalized healthcareVSAvoidtreatment efficacy
Core Design Contradiction:
Adaptability or versatilityVSReliability

Solution Approach 1:

The patent combines prescription medication selection with artificial sensory experience selection into a unified system. The system integrates multiple databases (medication database, artificial sensory experience database) and processes them together to generate combined treatment plans, merging previously separate medical treatment and sensory therapy approaches into a coordinated personalized healthcare solution.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The system changes the parameters of treatment by considering multiple attributes of the individual (genetic profile, physiological state, psychological state, sensory preferences) and matching them with corresponding medication and sensory experience parameters. This multi-parameter approach enables personalized treatment selection that adapts to each individual's unique characteristics.

Inventive Principle:
Principle #35Parameter changes

2Adaptability or versatility

If a comprehensive system combining multiple databases and selection processes is implemented, then personalized treatment selection is enabled, but system complexity increases

Engineering Contradiction:
Improvepersonalized treatment selectionVSAvoidsystem complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system is designed as a multi-functional platform that handles multiple tasks: accepting individual attributes, querying medication databases, querying artificial sensory experience databases, selecting appropriate treatments, and presenting results. This universal system consolidates what would otherwise require multiple separate tools and processes into a single integrated solution.

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

Solution Approach 2:

The system automatically processes individual attributes and selects appropriate medication and sensory experience combinations without requiring manual intervention for each selection decision. The automated selection process reduces the complexity burden on users by handling the complex database queries and matching logic internally.

Inventive Principle:
Principle #25Self-service

3Measurement precision

If multiple attributes of individuals are considered for treatment selection, then treatment personalization is improved, but information processing requirements increase

Engineering Contradiction:
Improveattribute assessment accuracyVSAvoidinformation processing load
Core Design Contradiction:
Measurement precisionVSLoss of information

Solution Approach 1:

The system segments the treatment selection process into distinct modules: attribute acceptance, database querying, selection logic, and result presentation. It also segments the databases into separate categories (medication database, artificial sensory experience database) that can be queried and processed independently, then integrated in the final treatment plan.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system uses an intermediary selection process that matches individual attributes with treatment options. The selection module acts as a mediator between the raw attribute data and the final treatment recommendations, filtering and processing information to generate appropriate matches while managing the information processing load.

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS10572629B2Combination treatment selection methods and systems
Publication Date: 2020.02.25 THE INVENTION SCIENCE FUND 1 LLC
  • US10572629B2 patent drawing
  • US10572629B2 patent drawing
  • US10572629B2 patent drawing

AI summary

Methods, computer program products, and systems are described that include accepting at least one attribute of at least one individual, querying at least one database at least partly based on the at least one attribute, selecting from the at least one database at least one prescription medication and at least one artificial sensory experience to address the at least one attribute of at least one individual, and/or presenting an indication of the at least one prescription medication and the at least one artificial sensory experience at least partly based on the selecting from the at least one database at least one prescription medication and at least one artificial sensory experience to address the at least one attribute of at least one individual.