Vital Sign Monitoring for Pre-Symptomatic Disease Risk Assessment
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Solution Overview
Problem
Existing techniques fail to accurately assess the risk of aggravation of infectious diseases, such as COVID-19, in individuals without prior diagnosis, particularly those with underlying conditions or in pre-symptomatic states, and do not consider temporary changes in vital signs.
Innovation Solution
An information processing device and method that acquires vital signs over time from users, identifies abnormal tendencies, and derives the risk of aggravation for infectious diseases, providing preventive measures and notifications to medical institutions based on the derived risk levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If prior diagnosis of underlying diseases is required to assess risk of aggravation, then diagnostic accuracy is improved, but the ability to detect pre-symptomatic and undiagnosed cases deteriorates
Solution Approach 1:
The system performs preliminary risk assessment by monitoring vital information before formal diagnosis occurs. By continuously acquiring and analyzing vital signs data, the system can identify abnormal tendencies that indicate pre-symptomatic states or undiagnosed underlying conditions, enabling early intervention before the disease progresses to a diagnosed state
Solution Approach 2:
The system introduces vital information monitoring as an intermediary between the absence of diagnosis and the need for risk assessment. Instead of directly requiring a diagnosis to assess risk, the system uses vital information trends as a mediator to infer underlying conditions and predict aggravation risk, bridging the gap between undiagnosed states and risk evaluation
2Productivity
If only diagnosed patients are monitored, then resource allocation is improved, but the prevention capability for undiagnosed high-risk individuals deteriorates
Solution Approach 1:
The system performs preliminary identification of high-risk individuals through continuous vital information monitoring before they are formally diagnosed or require intensive resources. By detecting abnormal tendencies in vital signs, the system can pre-identify individuals who need attention, enabling proactive resource allocation rather than reactive responses after diagnosis
Solution Approach 2:
The system establishes a feedback loop where vital information is continuously monitored, analyzed for abnormal tendencies, and used to update risk assessments. This feedback mechanism enables dynamic identification of high-risk individuals, allowing the system to adapt resource allocation based on real-time condition changes rather than static diagnosis status
3Device complexity
If static diagnostic data is used for risk assessment, then simplicity is improved, but the ability to detect temporary condition changes deteriorates
Solution Approach 1:
The system transitions from static diagnostic data to dynamic vital information monitoring. By continuously acquiring vital signs over time and analyzing trends, the system can detect temporary changes in condition that static snapshots would miss. The dynamic nature of continuous monitoring allows the system to capture transient abnormal tendencies while maintaining manageable complexity through automated analysis
Data Source
AI summary
An information processing device includes at least one processor, in which the processor acquires vital information measured over time from the user, and derives a degree of a risk of aggravation of a disease on the basis of an abnormal tendency that appears instantaneously in the vital information.