Severe Preeclampsia

The Severe Preeclampsia XR simulation provides healthcare professionals with an immersive learning experience on how to manage severe preeclampsia in pregnant patients. Through realistic scenarios, users can practice identifying the signs and symptoms of severe preeclampsia, making critical clinical decisions, and initiating appropriate treatment strategies to improve maternal and fetal outcomes. The simulation aims to enhance clinical skills and knowledge in managing this serious pregnancy complication.

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Learning Objectives

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

Users can learn to recognize the signs and symptoms of severe preeclampsia, such as high blood pressure, proteinuria, and other complications, enabling timely intervention.
The simulation provides insights into the management of severe preeclampsia, including monitoring maternal and fetal well-being, administering medications, and considering the timing and mode of delivery.
Users can practice making clinical decisions in real-time scenarios, enhancing their ability to manage severe preeclampsia effectively and improve outcomes for both the mother and baby.
The simulation highlights the importance of interdisciplinary collaboration between obstetricians, nurses, and other healthcare providers in managing severe preeclampsia and ensuring optimal care for patients.

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.

Pneumonia Leading to Respiratory Distress in a Child with Known Asthma

The Pneumonia Leading to Respiratory Distress in a Child with Known Asthma XR simulation provides healthcare professionals with an interactive learning experience on how to effectively manage a child with asthma who develops pneumonia and respiratory distress. Through realistic scenarios, users can practice identifying the signs and symptoms of pneumonia and respiratory distress, determining appropriate treatment strategies, and monitoring the childs response to therapy. The simulation aims to improve clinical decision-making and patient outcomes in the management of pediatric respiratory emergencies.

COPD Exacerbation

The COPD Exacerbation XR simulation is a brief, immersive educational tool that utilizes XR simulation to provide healthcare professionals and students with a realistic and dynamic learning experience. Focused on managing Chronic Obstructive Pulmonary Disease (COPD) exacerbations, this simulation offers lifelike visualizations of respiratory anatomy, step-by-step guidance for emergency procedures, interactive feedback for correct interventions, and scenario variations to enhance adaptability. The simulation aims to equip users with the skills and confidence needed to effectively respond to COPD exacerbations in a controlled and engaging virtual environment.

Treatment of Hypoglycemia in a Hospitalized Patient with Type II Diabetes

The Treatment of Hypoglycemia in a Hospitalized Patient with Type II Diabetes XR simulation provides healthcare professionals with an interactive learning experience on how to effectively manage hypoglycemia in hospitalized patients with type II diabetes. Through realistic scenarios, users can practice identifying and treating hypoglycemic episodes, including selecting appropriate medications and adjusting treatment regimens. The simulation aims to improve clinical decision-making and patient outcomes in this specific clinical setting.

Possible Sepsis

The Possible Sepsis XR simulation is a brief and immersive educational tool utilizing Extended Reality to provide healthcare professionals and students with a realistic learning experience in identifying and managing potential sepsis cases. Through lifelike scenarios, interactive assessments, and immediate feedback, users can enhance their skills in recognizing sepsis symptoms, conducting rapid assessments, and initiating timely interventions. The simulation aims to equip users with the knowledge and confidence needed to address sepsis effectively in a controlled and engaging virtual environment.

Moderate Postpartum Hemorrhage

The Moderate Postpartum Hemorrhage XR simulation provides healthcare professionals with an interactive learning experience on how to manage moderate postpartum hemorrhage. Through realistic scenarios, users can practice identifying the signs of postpartum hemorrhage, implementing appropriate interventions, and monitoring the patients condition. The simulation aims to improve clinical decision-making and patient outcomes in the management of postpartum hemorrhage.

Skin Integrity and Infection Control

Experience an immersive XR simulation focusing on Skin Integrity and Infection Control. This interactive module provides a realistic exploration of best practices in maintaining skin integrity and implementing effective infection control measures. Users engage in virtual scenarios, enhancing their understanding through hands-on experiences. The simulation emphasizes the importance of proper protocols, fostering a comprehensive understanding of these critical healthcare aspects.

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.