Mobile App Mental Health Analysis System
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Solution Overview
Problem
Current methods for detecting and treating adverse psychological states in individuals are limited, leading to untreated conditions and inadequate care, particularly due to barriers such as unfamiliarity with seeking help, social barriers, and limited access to therapists.
Innovation Solution
A method and system that utilize a mobile application to collect communication data, self-assessed mental health inputs, and supplementary datasets to analyze mental health states, facilitating personalized therapy by connecting individuals with therapeutic entities through predictive models and therapeutic communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional therapy methods are used, then therapeutic effectiveness can be improved, but accessibility and ease of seeking help deteriorate due to social barriers and limited availability
Solution Approach 1:
The patent introduces a mobile computing device and application as an intermediary between individuals and therapeutic entities. This intermediary enables anonymous communication, allowing individuals to seek help without direct face-to-face interaction, thereby reducing social barriers while maintaining access to professional therapeutic support
Solution Approach 2:
The system creates a virtual copy of traditional therapy through digital communication channels. The application replicates therapeutic interactions via text, voice, or video messages, allowing individuals to receive therapy remotely without physically visiting a therapist's office, thus improving accessibility
2Ease of operation
If anonymous communication is used, then ease of seeking help is improved, but detection precision of psychological states deteriorates
Solution Approach 1:
The system implements feedback loops where individuals receive responses from therapeutic entities based on their communicated needs. This iterative feedback process allows for continuous refinement of understanding the individual's psychological state, compensating for the lack of direct observation while maintaining detection accuracy
Solution Approach 2:
The application collects baseline data and performs preliminary analysis of communication patterns before formal therapeutic intervention begins. This preliminary action establishes a reference framework that enhances subsequent detection precision without requiring immediate direct interaction
3Measurement precision
If comprehensive data collection is implemented, then measurement precision of mental health state is improved, but device complexity and data processing requirements worsen
Solution Approach 1:
The system segments data collection into multiple modular components: communication data, supplementary datasets, and self-assessed inputs. Each component is processed independently through separate analytical modules, reducing overall system complexity while maintaining comprehensive measurement precision
Solution Approach 2:
The mobile computing device and application are designed to perform multiple functions: data collection, preliminary analysis, communication facilitation, and progress tracking. This multi-functionality consolidates what would otherwise require separate systems into a single integrated platform, managing complexity while enhancing measurement capabilities
Data Source
AI summary
A method and system for providing therapy to an individual, the method comprising: transmitting a log of use dataset associated with communication behavior of the individual during a time period; receiving a supplementary dataset characterizing mobility of the individual in association with the time period; generating a survey dataset upon retrieving responses provided by the individual to at least one of a set of surveys, associated with a set of time points of the time period; generating a predictive model from a passive dataset derived from the log of use dataset and the supplementary dataset and the survey dataset; generating a report summarizing a mental health state of the individual, associated with at least a portion of the time period, from the passive dataset, the survey dataset, and an output of the predictive model; and rendering information from the report to a coach associated with the individual.