Human Factors Challenges in After-Action Reviews in Distributed Simulation-Based Training

2005 ◽  
Vol 49 (25) ◽  
pp. 2145-2148
Author(s):  
William J. Salter ◽  
Susannah Hoch ◽  
Jared Freeman
Keyword(s):  
Data Collection ◽  
Human Factors ◽  
Simulation Training ◽  
Distributed Simulation ◽  
Automated Analysis ◽  
Test Methods ◽  
Automated Data Collection ◽  
Training Environment ◽  
Simulation Based ◽  
After Action Reviews

This paper discusses human factors issues in designing methods to develop and deliver After Action Reviews (AARs) in the Navy-sponsored Debriefing Distributed Simulation-Based Exercises (DDSBE) research program. DDSBE is intended to develop and test methods for collecting, analyzing, presenting, and distributing performance data in the emerging Navy distributed simulation training environment. In addition to research-driven AAR design, the program includes considerable software development: building a simulation testbed, developing and integrating automated and semi-automated data collection tools, and designing and implementing automated analysis methods. Considerable data will be collected automatically. Consequently, trainers will not be required to observe an aspect of performance to include it in an AAR. Although AARs are used after actual military actions and after live training, we confine our discussion to distributed simulation-based training, the focus of DDSBE.

Automated Individual, Team, and Multi-Team Performance Assessment to Support Debriefing Distributed Simulation Based Exercises (DDSBE)

2005 ◽  
Vol 49 (25) ◽  
pp. 2140-2144
Author(s):  
Thomas F. Carolan ◽  
Peter Bilazarian ◽  
Long Nguyen
Keyword(s):  
Data Collection ◽  
Team Performance ◽  
Distributed Simulation ◽  
Development Effort ◽  
Automated Data Collection ◽  
Data Collection Process ◽  
Simulation Based ◽  
Key Events ◽  
Development Methods ◽  
Simulation Systems

Automated, embedded data collection, assessment, and integration capabilities are key requirements of an instructional framework to support performance evaluation and debrief of multiple teams participating in distributed simulation-based exercises. This paper discusses recent progress in the application of automated performance data collection and assessment capabilities as part of a prototype Debriefing Distributed Simulation-Based Exercises (DDSBE) system. The automated data collection process obtains data from local and distributed simulation systems and operator consoles to assess individual, team, and multi-team performance on training objectives during critical and key events. Performance is assessed at the multi-team, team, and individual levels as appropriate. Automated and observer-based semi-automated assessments are integrated into data products suitable for debrief development. Methods, products, and results from the research and development effort to date are discussed.

Mental health simulation training in psychiatric skills for police and ambulance service personnel

2017 ◽  
Vol 41 (S1) ◽  
pp. S603-S603 ◽  
Author(s):  
C. Attoe ◽  
M. Fisher ◽  
A. Vishwas ◽  
S. Cross
Keyword(s):  
Mental Health ◽  
Data Collection ◽  
Human Factors ◽  
Simulation Training ◽  
Ambulance Service ◽  
Health Conditions ◽  
Ambulance Personnel ◽  
Service Personnel ◽  
Mental Health Conditions ◽  
Health Simulation

IntroductionUK healthcare policy has highlighted a shift in mental health services from hospital to community, stressing the importance of training for professions not traditionally associated with healthcare. Recommendations have been made to introduce training for the police force designed with experts. Similarly, the value of further training for ambulance clinicians in assessing mental health, capacity, and understanding legislation has been highlighted.AimsTo investigate the effect of simulation training on the confidence, knowledge, and human factors skills of police and ambulance service personnel in working with people experiencing mental health conditions.MethodsOn completion of data collection from 14 training courses, approximately 90 police and 90 ambulance personnel (n = 180) will have completed the human factors skills for healthcare instrument, confidence and knowledge self-report measures, and post-course qualitative evaluation forms. A version of the hfshi for non-clinical professions will hopefully be validated following data collection. Results will also be compared by profession.ResultsAnalyses have not been fully completed, although preliminary statistical analyses demonstrate promising findings, with increases post-course for human factors skills, confidence and knowledge. Furthermore, qualitative feedback initially illustrates valuable learning outcomes and interesting findings from comparisons by professions.ConclusionsMental health simulation training appears to have a promising impact on the confidence, knowledge, and human factors skills of police and ambulance personnel for working with people experiencing mental health conditions.Disclosure of interestThe authors have not supplied their declaration of competing interest.

scholarly journals Improving safety and reducing error in endoscopy: simulation training in human factors

2019 ◽  
Vol 10 (2) ◽  
pp. 160-166 ◽  
Author(s):  
Srivathsan Ravindran ◽  
Siwan Thomas-Gibson ◽  
Sam Murray ◽  
Eleanor Wood
Keyword(s):  
Human Factors ◽  
Simulation Training ◽  
Working Environment ◽  
Advisory Group ◽  
In Situ Simulation ◽  
Simulation Based ◽  
The Uk ◽  
Endoscopy Simulation ◽  
Patient Safety Incidents

Patient safety incidents occur throughout healthcare and early reports have exposed how deficiencies in ‘human factors’ have contributed to mortality in endoscopy. Recognising this, in the UK, the Joint Advisory Group for Gastrointestinal Endoscopy have implemented a number of initiatives including the ‘Improving Safety and Reducing Error in Endoscopy’ (ISREE) strategy. Within this, simulation training in human factors and Endoscopic Non-Technical Skills (ENTS) is being developed. Across healthcare, simulation training has been shown to improve team skills and patient outcomes. Although the literature is sparse, integrated and in situ simulation modalities have shown promise in endoscopy. Outcomes demonstrate improved individual and team performance and development of skills that aid clinical practice. Additionally, the use of simulation training to detect latent errors in the working environment is of significant value in reducing error and preventing harm. Implementation of simulation training at local and regional levels can be successfully achieved with collaboration between organisational, educational and clinical leads. Nationally, simulation strategies are a key aspect of the ISREE strategy to improve ENTS training. These may include integration of simulation into current training or development of novel simulation-based curricula. However used, it is evident that simulation training is an important tool in developing safer endoscopy.

Automated Data Collection

1983 ◽  
Vol 27 (7) ◽  
pp. 546-547 ◽  
Author(s):  
Peter J. Kennedy ◽  
James R. Lewis
Keyword(s):  
Data Collection ◽  
Human Factors ◽  
Product Design ◽  
Personal Computer ◽  
Current Literature ◽  
Low Cost ◽  
Performance Data ◽  
Design Team ◽  
Automated Data Collection ◽  
Operator Performance

Human factors organizations frequently are requested to provide recommendations about design choices to a product design team. These recommendations should be based on operator performance data. However, in many cases the required information may not be present in the current literature and time and personnel resources may be limited. This paper describes how this problem has been solved by the Human Factors group in IBM at Boca Raton. We are using the IBM Personal Computer as a process controller for studies in our lab. This low cost tool facilitates the automation of studies which require the recording of data for subsequent analysis. The Personal Computer has also been used to analyze the data.

Automated electron tomography: from data collection to image processing

1995 ◽  
Vol 53 ◽  
pp. 26-27
Author(s):  
Weiping Liu ◽  
Jennifer Fung ◽  
W.J. de Ruijter ◽  
Hans Chen ◽  
John W. Sedat ◽  
...  
Keyword(s):  
Image Processing ◽  
Data Collection ◽  
Structural Information ◽  
Imaging Technique ◽  
Electron Tomography ◽  
Ccd Camera ◽  
Automated Data Collection ◽  
Full Control ◽  
Transmission Electron ◽  
Amorphous Structures

Electron tomography is a technique where many projections of an object are collected from the transmission electron microscope (TEM), and are then used to reconstruct the object in its entirety, allowing internal structure to be viewed. As vital as is the 3-D structural information and with no other 3-D imaging technique to compete in its resolution range, electron tomography of amorphous structures has been exercised only sporadically over the last ten years. Its general lack of popularity can be attributed to the tediousness of the entire process starting from the data collection, image processing for reconstruction, and extending to the 3-D image analysis. We have been investing effort to automate all aspects of electron tomography. Our systems of data collection and tomographic image processing will be briefly described.To date, we have developed a second generation automated data collection system based on an SGI workstation (Fig. 1) (The previous version used a micro VAX). The computer takes full control of the microscope operations with its graphical menu driven environment. This is made possible by the direct digital recording of images using the CCD camera.

Automated data collection

1983 ◽  
Author(s):  
Peter J. Kennedy ◽  
James R. Lewis
Keyword(s):  
Data Collection ◽  
Automated Data Collection
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