Automated Therapeutic Communication System for Behavioral Adaptation

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Solution Overview

Problem

Conventional approaches in healthcare fail to account for unique user communication, mobility, and device usage behaviors, leading to impersonal care provider support, inefficiencies, and inability to adapt to changing behaviors over time, especially in natural settings.

Innovation Solution

A method and system that utilize digital communication behavior analytics and mobility data from mobile devices to generate tailored communication plans, promoting therapeutic interventions through automated communications, adapting in real-time to user behaviors and conditions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If conventional healthcare approaches are used, then care provider support is provided, but it fails to account for unique user behaviors leading to impersonal care and inefficiencies

Engineering Contradiction:

Improveadaptability to user behaviorsVSAvoidpersonalization of care

Core Design Contradiction:

Adaptability or versatilityVSEase of operation

Solution Approach 1:

The system enables automated self-service through AI-driven communication plans that adapt to user behaviors without requiring manual intervention from care providers. The system automatically monitors communication patterns, mobility data, and device usage to generate and adjust personalized communication plans, allowing the system to serve itself in personalizing care delivery.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system implements continuous feedback loops by monitoring user communication behaviors, mobility patterns, and device usage data. This feedback is processed to dynamically adjust communication plans, ensuring the system adapts to changing user behaviors over time while maintaining personalization without increasing operational complexity.

Inventive Principle:

Principle #23Feedback

2Productivity

If manual care provider communication is used, then user interactions occur, but it requires significant effort from patients and lacks scalability

Engineering Contradiction:

Improvescalability of care deliveryVSAvoidtime required from patients

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The system replaces manual mechanical communication processes with automated AI-driven systems. Instead of patients manually coordinating with care providers, the system uses algorithms to analyze behavioral data and generate communication plans automatically, eliminating the need for patient effort while enabling scalable care delivery across multiple users simultaneously.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system introduces an automated intermediary layer between patients and care providers. This intermediary analyzes user data, generates communication plans, and facilitates interactions without requiring direct patient involvement in the coordination process, thereby reducing patient time investment while maintaining scalable care delivery.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Adaptability or versatility

If traditional communication methods are used, then care is delivered, but it cannot adapt to changing behaviors over time in natural settings

Engineering Contradiction:

Improvereal-time adaptation to behaviorsVSAvoidsystem complexity for tracking behaviors

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system uses a multi-functional approach by leveraging existing mobile device capabilities (communication apps, sensors, device usage tracking) for multiple purposes. These existing components serve both their original functions and additional roles in monitoring user behaviors, eliminating the need for separate complex tracking devices while enabling real-time adaptation to changing behaviors.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system creates digital copies of user behaviors through data collection from existing device usage patterns, communication logs, and sensor information. These behavioral copies are analyzed to generate communication plans without requiring direct intervention or adding physical complexity to the user's environment, enabling real-time adaptation using readily available digital traces.

Inventive Principle:

Principle #26Copying

Data Source

PatentUS20240177816A1Method and system for providing automated conversations

Publication Date: 2024.05.30 ORANGEDOT INC

AI summary

Embodiments of a method and system for facilitating improvement of a user condition through tailored communication with a user can include receiving a log of use dataset associated with a digital communication behavior at a mobile device, the log of use dataset further associated with a time period; receiving a mobility supplementary dataset corresponding to a mobility-related sensor of the mobile device, the mobility supplementary dataset associated with the time period; determining a tailored communication plan for the user based on at least one of the log of use dataset and the mobility supplementary dataset; transmitting, based on the tailored communication plan, a communication to the user at the mobile device; and promoting a therapeutic intervention to the user in association with transmitting the communication.