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Learning Objectives

At the end of this simulation, you will be able to:

By the end of this module, students will be able to:

Conduct thorough patient evaluations, including symptom analysis and health status assessment.
Monitor key parameters such as blood pressure, pulse, respiration rate, and body temperature in virtual scenarios.
Analyze vital sign readings to identify abnormalities and understand their clinical significance.
Evaluate patient-reported pain levels and symptoms to determine appropriate care priorities.
Utilize collected data to make sound clinical decisions, enhancing patient care outcomes.

How do virtual labs work?

Enhance students' involvement in science by immersing them in interactive learning scenarios. Create simulations for experiments, provide hands-on training in laboratory techniques, and convey theoretical concepts through captivating visual experiences to improve their overall long-term learning outcomes.

Access web-based simulations that are compatible with laptops, Chromebooks, tablets, and iPads, eliminating the need for software installation.
Incorporate a teacher dashboard for automated grading and monitoring of student progress.
Utilize embedded quizzes to assist students in mastering scientific content.
Comprehensive repository of educational materials, including learning resources, lab reports, videos, theory pages, graphics, and more.

Patient Assessment and Vital Signs Monitoring

Relevant Course Packages All Course Packages →

Fluid Dynamics and Computational Fluid Dynamics (CFD)

Enhance your understanding of fluid dynamics principles and their application in engineering systems through XR-powered simulations.

Emergency Scene Management and Triage

Prepare students for emergency scene management and triage in high-pressure situations through XR simulations. Students will practice managing multi-casualty incidents, applying triage principles to prioritize patients, and coordinating with first responders to ensure efficient care delivery.

Machining Tolerances and Fits

Explore XR-based simulations for machining parts to meet specified tolerances and selecting appropriate fits for mating components. Students will interact with virtual machining scenarios, adjusting parameters to achieve precise tolerances, whether it's clearance, interference, or transition fits. This experience provides a deeper understanding of machining precision, helping to avoid the production of undersized or oversized parts. Real-time feedback ensures that users can evaluate part quality, tolerance control, and fit accuracy for optimal machining results.

Prosthetics and Orthotic Device Simulation

Empower with the skills to design, test, and fit prosthetic limbs and orthotic devices through immersive XR simulations. Users will engage in virtual scenarios to design customized prosthetics, adjust alignment, and optimize comfort and functionality for virtual patients.

Trauma Management and Injury Stabilization

Equip students with the skills needed to manage trauma patients through immersive XR simulations. Students will practice controlling bleeding, stabilizing fractures, and preventing shock in a variety of trauma scenarios, such as car accidents, falls, and gunshot wounds.

Surveying and Geographic Information Systems (GIS)

Gain practical insights into land surveying and the application of GIS technology in civil engineering projects. Virtual scenarios let students operate surveying instruments like total stations, theodolites, and GPS receivers to collect precise data. Interactive tools allow for the creation of topographic maps, contour lines, and spatial data analysis using GIS software. Feedback focuses on improving surveying precision, interpreting data accurately, and mastering mapping techniques.

LMS Integration

imaginX seamlessly integrates with leading LMS (Learning Management Systems), enabling educators to track student performance and allowing students to maintain their work records. It is compatible with popular platforms such as Canvas, Blackboard, Moodle, Google Classroom, Schoology, Sakai, Brightspace/D2L, and can also be used independently of an LMS.