Virtual Patient Training System Using Augmented Reality
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Solution Overview
Problem
Current emergency patient training methods struggle to simulate real-world scenarios effectively, particularly in assessing patient conditions and responding to emergencies, as they rely on on-ground training kits and role division without adequate simulation of patient conditions.
Innovation Solution
A method and apparatus that create a virtual patient scored based on medical statistics, using augmented reality to provide a realistic emergency patient treatment training experience, allowing users to treat and evaluate the virtual patient's condition through a user terminal, which includes deriving symptoms and severity classification, and automatically assigning necessary treatment data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If on-ground training kits and role division are used, then role division and coping plan training can be provided, but the ability to check patient condition and prepare direct response plan cannot be trained
Solution Approach 1:
The patent creates virtual patients that replicate real patient characteristics, conditions, and responses. These virtual copies allow trainees to practice direct patient assessment and treatment planning without needing actual patients, thereby maintaining training versatility while enabling reliable patient condition assessment training.
Solution Approach 2:
The virtual patient system acts as an intermediary between trainees and real patients. It provides a simulated environment where trainees can develop and test their assessment and treatment planning skills, bridging the gap between theoretical role division training and practical patient care training.
2Reliability
If virtual patients are created with detailed medical statistics and symptoms, then realistic patient simulation is achieved, but system complexity increases
Solution Approach 1:
The virtual patient system divides the complex simulation task into separate modules: patient creation module that generates virtual patients with medical statistics, symptom derivation module that adds clinical features, and treatment evaluation module that assesses trainee performance. This segmentation manages system complexity while maintaining simulation realism.
Solution Approach 2:
The system creates a multi-functional platform that handles patient generation, symptom assignment, treatment planning, and evaluation within a single integrated environment. This universal system reduces overall complexity compared to using multiple separate training tools while maintaining high realism through comprehensive patient simulation.
Data Source
AI summary
A method for providing training for treating emergency patients is provided. The method for providing treatment training for an emergency patient comprises the steps of: generating a virtual patient scored according to the virtual patient's conditions on the basis of medical statistics; automatically allocating necessary treatment data on the basis of vital signs of the generated virtual patient; providing a user with the generated virtual patient and the vital signs on the basis of augmented reality by using a user terminal; receiving, at the user terminal, the result of treatment performed by the user on the basis of the vital signs of the virtual patient; and providing evaluation data by comparing the result of treatment performed by the user with the treatment data for the virtual patient.