Information Processing Device for Chronic Disease Score Visualization
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Solution Overview
Problem
Current methods for recording and communicating patient state sensing information and medical inquiries in chronic diseases like asthma, allergic diseases, and diabetes are independent, leading to a communication gap between clinicians and patients, resulting in inappropriate treatment policies and potential discontinuation of medication, which can hinder symptom improvement.
Innovation Solution
An information processing system that generates objective and subjective score data in time series, visualizing these scores to facilitate communication and support continuous treatment by integrating biometric and environmental data with patient feedback, using a patient terminal device, clinician terminal device, and an information processing device to create a score image for symptom visualization and medication management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If sensing information and medical inquiry are recorded independently, then data collection is simplified, but communication between clinician and patient becomes ineffective and treatment appropriateness deteriorates
Solution Approach 1:
The patent combines previously independent sensing information and medical inquiry data into a unified integrated data structure. This integration allows both objective sensor data and subjective patient feedback to be processed together, enabling clinicians to make more accurate treatment decisions while maintaining ease of data collection through automated systems.
Solution Approach 2:
The patent introduces an information processing device that acts as an intermediary between data collection and clinical decision-making. This mediator automatically processes, stores, and presents integrated sensing and inquiry data, reducing the burden on clinicians while improving treatment appropriateness through comprehensive data analysis.
2Ease of operation
If verbal communication is used between clinician and patient, then treatment can be explained, but communication gaps occur due to verbal discrepancy and time constraints
Solution Approach 1:
The patent replaces verbal communication with automated information processing and presentation systems. The information processing device automatically analyzes patient data, generates appropriate treatment recommendations, and presents information in standardized formats, eliminating verbal discrepancies and time constraints while maintaining clear communication between clinician and patient.
Solution Approach 2:
The patent implements automated feedback loops where patient sensing data and inquiry responses are continuously processed and presented back to clinicians in real-time. This feedback mechanism ensures accurate information transmission without relying on verbal communication, allowing clinicians to及时调整 treatment based on objective data trends.
3Duration of action of stationary object
If treatment is continued for chronic diseases, then symptom improvement can be achieved, but treatment interruption occurs due to patient self-judgment
Solution Approach 1:
The patent enables patients to actively participate in their own treatment monitoring through automated data collection from sensing devices and regular inquiry responses. Patients can view their own progress data and treatment status, empowering them to maintain compliance without requiring constant clinician intervention or subjective self-judgment.
Solution Approach 2:
The system provides continuous automated feedback to patients about their treatment progress through processed sensing data and inquiry responses. This objective feedback loop helps patients understand the effectiveness of their treatment, motivating them to continue medication and follow treatment protocols even when symptoms improve or fluctuate.
Data Source
AI summary
An information processing device (40) according to one embodiment of the present disclosure includes: an analysis unit (41) being a first data generation unit that generates objective score data, which indicates objective scores in time series, based on a plurality of pieces of objective data regarding a patient; a processing unit (42) being a second data generation unit that generates subjective score data, which indicates subjective scores in time series, based on a plurality of pieces of subjective data obtained from the patient; and a generation unit (44) being an image generation unit that generates a score image indicating the objective score data and the subjective score data.