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Area of Science:

  • Anesthesiology
  • Medical Simulation
  • Health Informatics

Background:

  • Electronic anesthesia information management systems (AIMS) present learning challenges.
  • Documenting patient care in new systems while providing anesthesia is distracting and risky.
  • Safe anesthesia practice requires high vigilance, complicated by unfamiliar technology.

Purpose of the Study:

  • To describe a vendor-agnostic training approach for electronic AIMS.
  • To evaluate the feasibility and value of high-technology manikin simulation for AIMS training.
  • To explore optimal methods for AIMS user training and electronic health record (EHR) feedback.

Main Methods:

  • Utilized a high-technology manikin in a simulated clinical scenario.
  • Developed a vendor-agnostic training methodology for electronic AIMS.
  • Incorporated a combination of electronic and manual training components.

Main Results:

  • The simulated training approach was feasible and well-received by participants.
  • Training required integrating both electronic system use and manual documentation methods.
  • Participant feedback indicated the value of the simulated learning environment.

Conclusions:

  • Simulated patient care training is a valuable method for learning electronic AIMS.
  • A blended approach combining electronic and manual training components is effective.
  • Further research can optimize simulation for AIMS training and inform EHR system improvements.