High-Fidelity Simulation as an Experiential Model for Teaching Root Cause Analysis

High-fidelity simulation as an experiential model for teaching root cause analysis.

PURPOSE The purpose of this study was to assess the effectiveness of high-fidelity simulation for teaching root cause analysis (RCA) in graduate medical education. METHODS Thirty clinical anesthesiology-1 through clinical anesthesiology-3 residents were randomly assigned to 2 groups: group A participants received a 10-minute lecture on RCA and participated in a simulation exercise where a med...

Root Cause and Error Analysis

Error is an inevitable part of life and cannot be completely eliminated, but it can be minimized. A root cause analysis is a technique for understanding the systematic error causes that is involved beyond a person or people to implement an errors and including field and environmental causes of errors when occur in this situation too. An important factor of an error occurrence is a root cause (c...

Online Analysis of High Fidelity Simulation Data

This paper describes the online analysis of simulation data in real time using the Crew Activity Tracking System (CATS). CATS compares actual operator actions to a model of nominal operator procedures to track operator activities and detect possible operator errors. A suite of system state visualization tools, together with CATS, enables researchers to detect problematic operator-automation int...

Experiential learning as a method to enhance experiential teaching

Reference Model Based High Fidelity Simulation Modeling for Manufacturing Systems

ing logical rules should be justified and based on the data that we can observe from a real system. In other words, if a logical rule is abstracted, the input data for the abstracted logical rule should be observable in the real system, and its output data also should be comparable to the observable results of the real system. An abstracted model does not provide more I/O data than the original...