Virtual Medical Drill Feedback for Patient Anxiety Reduction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods fail to effectively detect and regulate emotional responses such as stress, anxiety, and fear in patients before medical procedures, leading to inefficiencies and potential complications during medical care.
Innovation Solution
A virtual medical procedure drill using a machine learning model predicts and adjusts the number of repetitions based on patient data, including age, medical history, and physiological parameters, providing a virtual representation of the procedure to acclimatize patients through virtual reality or augmented reality, with real-time feedback to correct deviations and reduce emotional responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If no virtual drill is provided to the patient, then the medical procedure can be scheduled quickly, but the patient experiences high anxiety and stress leading to rescheduling
Solution Approach 1:
The virtual medical procedure drill is administered to the patient before the actual medical procedure to familiarize them with the environment, equipment, and procedure steps. This preliminary exposure reduces anxiety and stress, thereby improving scheduling reliability and reducing rescheduling due to patient emotional responses.
2Reliability
If a virtual drill is provided to the patient, then patient anxiety is reduced, but the system complexity increases
Solution Approach 1:
A computing system serves as an intermediary between the patient and the medical procedure. This system delivers the virtual drill through standardized interfaces (such as head-mounted displays or video screens) and processes physiological data using machine learning models, managing complexity while maintaining patient emotional stability.
Solution Approach 2:
The virtual drill creates a simplified copy or simulation of the actual medical procedure environment, allowing patients to experience and familiarize themselves with the procedure without the full complexity and stress of the real thing. This copy includes virtual representations of the medical equipment, environment, and procedure steps.
3Reliability
If physiological parameters are monitored in real-time, then emotional response regulation is improved, but the measurement complexity increases
Solution Approach 1:
The system continuously monitors physiological parameters (such as heart rate, blood pressure, and respiration) in real-time during the virtual drill and uses machine learning models to interpret these signals. This feedback loop allows the system to detect emotional responses dynamically and adjust the virtual drill content to regulate the patient's emotional state, improving detection accuracy while managing measurement complexity through automated processing.
Data Source
AI summary
A method includes receiving input data associated with a patient and predicting, using a trained machine learning model, a number of repetitions of a virtual drill to be undertaken by the patient based on the input data. The virtual drill is a virtual representation of a medical procedure to be undergone by the patient. At least one instance of the virtual drill is executed for the patient based on the predicted number of repetitions of the virtual drill, and one or more parameters associated with the patient are captured during the execution of the virtual drill. The one or more parameters depict an emotional response. The prediction of the number of repetitions of the virtual drill to be executed for the patient is modified based on the captured one or more parameters associated with the patient and/or the number of repetitions of the virtual drill executed for the patient.