Dynamic Treatment Environments Using Wearable Data for Personalization
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Solution Overview
Problem
Telemedicine systems face challenges in creating personalized and efficient treatment plans for patients due to the inability to physically examine them, leading to inefficiencies and inaccuracies in monitoring patient progress and adapting treatment apparatuses remotely.
Innovation Solution
A system utilizing artificial intelligence and machine learning to collect and analyze patient data, assign patients to cohorts, and dynamically control treatment apparatuses based on real-time data to provide personalized and adaptive treatment plans.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If telemedicine systems use verbal communication and limited remote observation to provide patient care, then patients can receive treatment without visiting healthcare provider offices, but the systems cannot conduct physical examinations leading to inaccuracies in monitoring patient progress
Solution Approach 1:
The patent introduces wearable sensors and mobile devices as intermediary components that collect physiological data (heart rate, activity levels, sleep patterns) and transmit it to healthcare providers. This mediator system enables remote observation with enhanced precision, resolving the contradiction between patient accessibility and monitoring accuracy by providing objective measurement data without requiring physical examinations.
Solution Approach 2:
The patent replaces manual physical examination methods with automated sensor-based measurement systems. Wearable devices with accelerometers, heart rate monitors, and other sensors substitute for the healthcare provider's physical assessment capabilities, enabling continuous objective monitoring of patient progress remotely, thus maintaining accessibility while improving measurement precision.
2Device complexity
If telemedicine systems rely on verbal communication and limited remote observation, then implementation is simpler, but treatment plans cannot be personalized accurately without physical examination data
Solution Approach 1:
The patent implements a multi-functional integrated platform that combines wearable sensor data collection, mobile device communication, artificial intelligence analysis, and treatment plan generation into a single system. This universal system handles multiple functions (data acquisition, processing, personalization, and delivery) that would otherwise require separate complex components, enabling accurate treatment personalization while maintaining relatively simple implementation through standardized interfaces and protocols.
Solution Approach 2:
The system enables patients to actively participate in their own treatment by wearing sensors that automatically collect their physiological data and by using mobile devices to receive and interact with personalized treatment plans. This self-service approach reduces the burden on healthcare providers and simplifies system implementation while generating rich data for highly personalized treatment customization.
3Device complexity
If telemedicine systems lack real-time data analysis capabilities, then system complexity is reduced, but treatment plans cannot be dynamically adapted to individual patient characteristics
Solution Approach 1:
The patent implements continuous feedback loops where wearable sensors collect real-time physiological data, artificial intelligence algorithms analyze the data streams, and treatment plans are dynamically adjusted based on the analysis results. This feedback mechanism enables the system to adapt treatment plans in real-time to individual patient responses and characteristics, achieving high adaptability while managing complexity through automated decision-support algorithms.
Solution Approach 2:
The system dynamically changes treatment parameters (exercise intensity, duration, frequency, rehabilitation protocols) based on real-time analysis of patient physiological data. Artificial intelligence algorithms process sensor inputs and automatically adjust treatment plan parameters to optimize individual patient outcomes, enabling dynamic adaptation without requiring complex manual intervention by healthcare providers.
Data Source
AI summary
A system that comprises a memory device storing instructions, and a processing device communicatively coupled to the memory device. The processing device executes the instructions to: receive user data obtained from records associated with a user; generate a modified treatment plan based on the user data; and send, to a treatment apparatus accessible to the user, the modified treatment plan, wherein the modified treatment plan causes the treatment apparatus to update at least one operational aspect of the treatment apparatus, and update at least one operational aspect of at least one other device communicatively coupled to the treatment apparatus.