Error recovery training literature review: Implications for emergency field medicine

Author(s):  
Laura G. Militello ◽  
Eli Wagner ◽  
Jennifer Winner ◽  
Christen Sushereba ◽  
Jessica McCool

Training focused on recognizing when a medical procedure has not been implemented effectively may reduce preventable battlefield deaths. Although important research has been conducted about a range of error recovery training strategies, few studies have been conducted in the context of training for high stakes, dynamic domains such as combat medic training. We conducted a literature review to examine how error recovery training has been designed in other contexts, with the intent of abstracting recommendations for designing error recovery training to support military personnel providing emergency field medicine. Implications for combat medic training include: 1) a focus on error management rather than error avoidance, 2) a didactic training component may support training engagement and mental model development, 3) an experiential component may be designed to support perceptual skill development and anomaly detection, and 4) feedback should focus on allowing learners to make errors and encouraging them to learn from errors.

2020 ◽  
Vol 219 (2) ◽  
pp. 214-220 ◽  
Author(s):  
Carla M. Pugh ◽  
Katherine E. Law ◽  
Elaine R. Cohen ◽  
Anne-Lise D. D’Angelo ◽  
Jacob A. Greenberg ◽  
...  

2021 ◽  
Vol 13 (19) ◽  
pp. 10908
Author(s):  
Anika Süß ◽  
Kristina Höse ◽  
Uwe Götze

Since the need of sustainable development is indisputable, companies are forced to strive for resources, processes, and products that are sustainable. Thus, their business models as the main representation of their activities should be designed in an ecologically, economically, and socially beneficial way. However, designing and developing sustainable business models is closely linked to their evaluation. Sustainable business model evaluation as a vital part of business model development has been addressed in literature in the past with increasing frequency. As a consequence, the plethora of different approaches of sustainability-oriented business model evaluation calls for a systematic literature review. Thus, in this study, we reviewed existing articles on sustainability-oriented business model evaluation and identified four main categories of evaluation methods: single indicators (I), indicator system/framework (II), simulation-based evaluation (III), and multi criteria decision-making (IV). By analyzing and structuring the proposed approaches, their benefits and limitations are revealed, pointing out gaps and future research needs for successfully designing and evaluating business models today and in the future.


2013 ◽  
Vol 5 (3) ◽  
pp. 30-75 ◽  
Author(s):  
Mohammad Reza Hanafizadeh ◽  
Payam Hanafizadeh ◽  
Erik Bohlin

This paper reviews the literature on digital divide and e-readiness in different fields with an eye to identifying trends and gaps in prominent research areas. In this study, 411 articles, conference papers, master’s and doctoral dissertations, textbooks, and working papers on digital divide and e-readiness are classified and elaborated and their results are presented. Drawing upon this literature review and analysis of digital divide and e-readiness, several important research areas surrounding digital divide and e-readiness are discussed and examined from a critical standpoint. In the paper, a comprehensive list of references is presented and, to the best of the authors’ knowledge, this is the most complete study of digital divide and e-readiness, even in the field of IT, in terms of its references. This paper reviews the literature on the digital divide and e-readiness from three perspectives with the purpose of identifying trends and gaps in this field: definition, methodology and scale. This review reveals that most modelers do not take sound theoretical and policy concerns into consideration, rather they tend to provide an empirical summarized measure for digitalization. Also, they develop digital divide and e-readiness models by building static composite indexes from individual indicators and tend to apply dynamic models to a lesser degree. Finally, there is a lack of research in the micro level vis-à-vis macro level that the authors attempt to compensate for.


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