Scale-Based On-Demand Care System for Remote Diagnosis
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Solution Overview
Problem
There is a need for a cost-effective and accessible healthcare delivery system that can provide personalized and convenient medical services to consumers, reducing the burden of traditional healthcare visits and costs.
Innovation Solution
A scale-based on-demand care system that collects user data, including cardiogram and demographic information, and aggregates it with data from other user devices and medical devices, using a standalone CPU and internet connectivity to facilitate remote diagnosis and treatment planning, while reducing unnecessary physician visits and improving patient engagement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional physician office visits are used, then comprehensive medical assessment can be provided, but healthcare costs increase and accessibility decreases
Solution Approach 1:
The system segments the healthcare delivery process into distinct components: remote data collection at patient location, automated data aggregation and analysis, and selective in-person physician visits only when necessary. This segmentation allows comprehensive assessment to be distributed across multiple locations and providers, improving accessibility while maintaining quality.
Solution Approach 2:
The patent introduces an automated data aggregation and analysis system as an intermediary between the patient and the physician. This intermediary collects, aggregates, and analyzes health data from multiple sources, then presents synthesized information to the physician, reducing the need for complex in-person assessments while maintaining comprehensive evaluation capability.
2Reliability
If more physician visits are provided, then better patient care is achieved, but healthcare costs increase
Solution Approach 1:
The system implements partial action by providing automated data collection and analysis for all patients, then selectively escalating to full physician visits only when the automated analysis indicates clinical necessity. This partial automation approach maintains care quality while reducing unnecessary expensive in-person visits.
Solution Approach 2:
The system establishes continuous feedback loops where patient data is continuously collected, analyzed, and used to determine appropriate care interventions. This feedback mechanism ensures that physician visits are triggered only when clinically indicated, optimizing the balance between care quality and cost efficiency.
3Ease of operation
If remote diagnosis is implemented, then accessibility and convenience improve, but measurement precision may deteriorate
Solution Approach 1:
The system merges multiple data sources including patient-reported symptoms, automated sensor data, historical medical records, and clinical expertise into a comprehensive diagnostic framework. This combination of diverse data streams compensates for the limitations of remote assessment and maintains diagnostic accuracy.
Solution Approach 2:
The automated data aggregation system is designed to handle multiple types of health data from various sources and perform multiple functions including data collection, validation, analysis, and clinical decision support. This multi-functional system ensures comprehensive assessment capability regardless of patient location.
Data Source
AI summary
Certain aspects of the disclosure are directed to an on-demand healthcare apparatus used to enrich the doctor-patient relationship, provide accessible specialized care, while also reducing costs. The apparatus includes a weighing scale including a platform and processing circuitry. The processing circuitry or a portion thereof is electrically integrated with a plurality of sensors under the platform and collects physiological data from the user while the user is standing on the platform. The processing circuitry aggregates scale-obtained data with user data from a plurality of user devices and/or medical devices, filters a database or a system of computer networks with the aggregated data in response to the aggregated data matching trigger data indicating the user is at risk for a health condition, and provides the aggregated data and filtered data to external circuitry accessible by a healthcare professional for review and for providing on-demand care.