Sensor-Guided Patient Dialog During Medical Imaging
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Solution Overview
Problem
Patients undergoing medical imaging procedures, such as MRI or CT scans, often experience anxiety and discomfort due to isolation and lack of real-time feedback mechanisms, making it difficult for them to express their conditions effectively.
Innovation Solution
A system and method for sensor signals dependent dialog generation that includes a sensor module to measure patient conditions, a processor module to analyze biometric and physical data, and a dialog data generation module to generate automated questionnaires based on patient feedback, using facial and physical expressions, speech commands, and gestures to improve communication during imaging processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If autonomous imaging is implemented to improve productivity, then scan efficiency increases, but patient ability to express feedback deteriorates
Solution Approach 1:
The system implements automated feedback mechanisms through sensors that detect patient physiological parameters (heart rate, breathing, movement) and generate questionnaire data based on detected conditions. This allows the autonomous system to receive and process patient feedback without requiring direct patient-initiated communication, thus maintaining scan efficiency while improving feedback capability.
Solution Approach 2:
The patient feedback system operates autonomously by automatically detecting physiological states through sensors and generating appropriate questionnaire items without requiring patient active participation. The system serves itself by continuously monitoring and adapting to patient conditions, reducing the burden on patients while maintaining communication channels.
2Ease of operation
If automated questionnaire generation is implemented to improve patient comfort, then real-time feedback capability increases, but device complexity increases
Solution Approach 1:
The system divides the complex feedback generation task into separate functional modules: sensor modules for physiological detection, a processor module for analyzing condition data, and a dialog data generation module for creating questionnaire items. This segmentation allows each component to be optimized independently while working together to provide comprehensive patient monitoring and communication.
Solution Approach 2:
The sensor modules and processor module serve multiple functions: they detect various physiological parameters (heart rate, breathing, movement), analyze condition data, and generate different types of questionnaire data based on detected states. This multi-functionality reduces the need for separate dedicated components for each monitoring task, thereby managing complexity while providing comprehensive patient care.
Data Source
AI summary
A system (100) for sensor signals dependent dialog generation during a medical imaging process is described. The system includes a processor, and a computer readable medium that stores a computer program element, which when executed by the processor, causes the processor to: measure condition data of a patient; analyze the condition data of the patient to determine biometric and physical condition data of the patient; and generate questionnaires data for obtaining real-time feedback from the patient during the medical imaging process. The questionnaires data is based on a parameter of the medical imaging process and on the determined biometric and physical condition data of the patient.