Biological Information Measurement Device Patient Risk Warning
Solution Overview
Problem
Conventional biological information measurement devices do not consider a patient's medical history, symptoms, or medications when determining the validity of biological information measurements, potentially leading to inaccurate results due to factors like dehydration.
Innovation Solution
A biological information measurement device comprising a sensor mounting unit, measurement unit, information acquisition unit, and control unit that acquires patient information, including medical history, symptoms, and medications, to determine the patient's risk status and issue warnings about measurement accuracy, such as recommending multiple measurements or consulting a doctor.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional biological information measurement devices measure biological information without considering patient-specific factors, then the measurement process is simple and fast, but the measurement accuracy and reliability deteriorate due to factors like dehydration, medical history, and medications
Solution Approach 1:
The system performs preliminary acquisition and analysis of patient information (medical history, symptoms, medications) before conducting the biological information measurement. This allows the system to determine risk status in advance and issue appropriate warnings, improving measurement accuracy by accounting for patient-specific factors without adding complexity to the actual measurement process
Solution Approach 2:
The control unit acts as an intermediary that integrates patient information data with measurement data. It analyzes the relationship between patient factors and measurement results, determining risk status and generating warnings. This intermediary processing layer reconciles the need for simple measurement with the need for accurate, context-aware results
2Reliability
If the system acquires and analyzes patient information to determine risk status, then measurement reliability improves, but the time required for measurement and information processing increases
Solution Approach 1:
Patient information is acquired and analyzed before the actual measurement to determine risk status in advance. This preliminary assessment allows the system to prepare appropriate warnings and measurement protocols, ensuring reliable results without delaying the actual measurement process
Solution Approach 2:
The system automatically acquires patient information from input units or external devices and performs self-analysis to determine risk status. This automated process eliminates manual assessment time while maintaining comprehensive evaluation of patient factors, thus improving reliability without proportionally increasing measurement time
3Measurement precision
If the system issues warnings based on patient risk status, then measurement error reduction is achieved, but the complexity of information processing and warning generation increases
Solution Approach 1:
The control unit establishes a feedback loop that continuously monitors patient information and measurement results, determining risk status and generating warnings when necessary. This feedback mechanism ensures measurement accuracy by adjusting the measurement process or alerting operators based on patient-specific risk factors, while the automated nature of the feedback reduces processing complexity
Solution Approach 2:
The warning generation function is extracted as a separate, dedicated process within the control unit. Instead of embedding complex warning logic throughout the measurement system, the control unit specifically handles information processing and warning generation based on risk status determination, simplifying the overall system architecture while maintaining accurate warning issuance
Data Source
AI summary
A biological information measurement device comprises a sensor insertion port, a measurement unit, a communication unit, and a control unit. In the sensor insertion port is mounted a sensor for measuring biological information about a patient. The measurement unit is connected to the sensor mounted in sensor insertion port and measures the blood glucose level. The communication unit acquires information about the patient whose biological information is being measured. The control unit determines the risk status of the patient on the basis of the information about the patient acquired by the communication unit, and issues a warning about the measurement of the biological information of the patient with the measurement unit on the basis of the determination result.