Virtual Reality Simulated Patient Encounters

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MAT 14 – Nakita Brown – Fetal Distress/Meconium

In partnership with: Elsevier

Book Demo

Maternal and Child Health (MCH)

Capabilities

Accessibility

Multiplayer

Scenario Information

Room size: 16x16

Learner Population: Nursing

Language: English, Spanish

Setting: Hospital

Patient Gender: Female

Scenario Description

This Simulated Patient Encounter maps to Scenario MAT 14 – Nakita Brown – Fetal Distress Meconium on the Elsevier Evolve Platform

Nakita Brown, a 37-year-old African American woman at 40 weeks’ gestation, was admitted to labor and delivery. She was then placed on continuous monitoring after intermittent monitoring began to show increasing variable decelerations. During this scenario, learners must assess and manage the care of a laboring patient during an evolving perinatal emergency.

This case can be purchased separately or as part of Elsevier’s SLS for RN Bundle

Learning Objectives

– Conduct appropriate assessments
– Recognize abnormal findings and respond with needed interventions
– Uses critical thinking to anticipate next likely event
– Communicates effectively with healthcare team
– Documents all findings, interventions, and patient responses

MINIMUM:

OS: Windows 10
Processor: Intel Core i5-2300 | AMD FX-4350
Memory: 4 GB RAM
Graphics: Nvidia GeForce GTX 2060
DirectX: Version 11
Storage: 12 GB available space

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