Available Now: Full Suite of Anesthesia SimSTAT Virtual Learning Modules

| Roxanne Blanford

To answer the need for quality training in anesthesia emergency management that's accessible from anywhere and at anytime, the complete suite of five Anesthesia SimSTAT virtual learning modules is now available to the public through a cooperative agreement between the American Society of Anesthesiologists™ (ASA) and CAE Healthcare.  

CAE Healthcare and the ASA announced a collaboration in 2016 to propel simulation-based education forward with a new learning platform.

The result was Anesthesia SimSTAT, a dynamic and virtual gamified learning environment that permits self-paced training in anesthesiology, allowing learners to obtain Maintenance of Certification for Anesthesiology credit (enabling fulfillment of ABA MOCA 2.0® Part 2 and 4 requirements) -- anytime and anywhere.

In November 2019, the final two  learning modules (for PACU and Labor & Delivery) were released, for a total of five in all. From realistic 3-D graphics, to realistic audio and electronic medical records, Anesthesia SimSTAT offers everything needed for learners to acquire proficiency in anesthesia procedure and anesthesia-related emergency management.

Read the CAE Press Release

With interactive and dynamic performance feedback, the complete suite of Anesthesia SimSTAT presents five screen-based scenarios that are based on true patient encounters. The modules feature 3D graphics, avatars, and objective assessment functions.
 
Anesthesia SimSTAT's Virtual Learning Environment modules include:

  • Anesthesia SimSTAT – Trauma
  • Anesthesia SimSTAT – Appendectomy
  • Anesthesia SimSTAT – Robotic Surgery
  • Anesthesia SimSTAT – PACU
  • Anesthesia SimSTAT – Labor & Delivery

We have released a comprehensive set of Anesthesia SimSTAT modules. We are seeing global interest from anesthesia societies and other customers that recognize the value in screen-based simulation for physicians,” said Rekha Ranganathan, president of CAE Healthcare.

“This platform enables easier delivery and higher retention, also provides data that will allow us to continuously improve how we deliver clinical education to make learning more personalized, adaptive.”

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