Prehabilitation Monitoring for Postoperative Risk Prediction
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Solution Overview
Problem
Conventional prehabilitation methods struggle to accurately evaluate postoperative prognosis risk due to the lack of consideration for the type of nutrition and inconsistent program compliance, leading to reduced motivation and difficulty in determining postoperative prognostic risk, especially when patients are not hospitalized.
Innovation Solution
An assistance method and system that includes a patient terminal for recording preoperative information such as nutrition, strength training, and activity level, and an assistance device for predicting postoperative course using acquired data, incorporating amino acids, probiotics, and prebiotics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional prehabilitation evaluation methods are used (based only on BMI, body weight, and food intake), then the evaluation process is simple, but the accuracy of postoperative prognosis risk assessment is insufficient because the type of nutrition is not considered
Solution Approach 1:
The nutrition evaluation is segmented into specific nutritional components (amino acids, probiotics, prebiotics) rather than treating nutrition as a single parameter. This segmentation allows for more precise assessment of how different nutritional types affect postoperative outcomes while maintaining a structured evaluation framework.
Solution Approach 2:
The evaluation system transitions from two-dimensional parameters (BMI, body weight) to three-dimensional assessment by adding nutrition type classification. This dimensional expansion enables more comprehensive risk stratification without requiring completely new evaluation infrastructure.
2Ease of operation
If patients complete prehabilitation programs at home without hospitalization, then patient convenience is improved, but program compliance rates vary and motivation decreases
Solution Approach 1:
The system implements continuous feedback mechanisms through the patient terminal that tracks compliance status, provides real-time guidance, and offers motivational support. This feedback loop maintains patient engagement and ensures consistent program adherence despite the decentralized home-based setting.
Solution Approach 2:
The patient terminal enables patients to self-monitor and self-report their prehabilitation activities, nutrition intake, and progress. This self-service approach empowers patients to take ownership of their compliance while the system automatically tracks and validates their efforts.
3Measurement precision
If detailed preoperative information including nutrition type and strength training status is collected, then postoperative course prediction accuracy is improved, but data acquisition complexity increases
Solution Approach 1:
The patient terminal serves multiple functions: it collects nutrition data, tracks strength training status, monitors general activity levels, and provides prehabilitation guidance. This multi-functional device consolidates what would otherwise require multiple separate systems into a single unified platform.
Solution Approach 2:
The patient terminal acts as an intermediary between the patient and the assistance device, automatically collecting and structuring detailed preoperative information. This intermediary layer simplifies data acquisition by handling the complexity of multiple data types through a standardized interface.
Data Source
AI summary
An assistance device 3 for assisting prehabilitation for a patient who is scheduled to undergo surgery, the assistance device comprising an acquisition unit 31 for acquiring preoperative information D1 on the patient's condition during a specified period before surgery, the preoperative information D1 including at least one of nutrition consumed by the patient and the patient's strength training status, and the nutrition containing at least one of amino acids, probiotics, and prebiotics.