(P1-64) E-Learning for Staff Education on Managing Catastrophe Plan – Hospital in Sao Paulo – Brazil

Abstract

Introduction

Staff education and qualification is a safety issue to maintain employees ready to act whenever the catastrophe plan is deflagrated especially since it only happens once in a while. Considering that catastrophe is an unexpected event and most of the time an unusual scenario, the risk of inefficient patient care and unsafe situations for employees and for the environment is high.

Objective

To describe the e-learning as a continuous training methodology to keep staff prepared to manage victims from a catastrophic situation whenever it happens.

Methodology

E-learning is a methodology for distance learning with focused content, pedagogy, technology and instructional system design aimed to deliver education. E-learning has advantages such as: a rapid update, customization of content, access flexibility, continued availability, reduced time for learning, training of a large number of employees with access control and release reporting. The development of e-learning is based on the following phases: analysis of topic relevance, evaluation by expert professional, relevance and applicability as educational strategy, planning and content construction with related areas, development of the storyboard and formatting with an instructional designer. The content of the e-learning Catastrophe Plan include definition of catastrophe, STAR screening method, roles and responsibilities, attendance flows, tests. Its duration was 30 minutes.

Results

During 03 months the e-learning of Catastrophe Plan was available in the intranet to Albert Einstein employees. A total of 3104 employees were trained representing 56% of target public (n = 5541). After this period, the e-learning became constantly available and part of the new employees admission process.

Conclusion

E-learning is an innovative educational methodology that contributes to the retention and generation of knowledge. The care and support team during the simulations in 2010 showed better performance when compared to 2009 due to the capability of this tool to spread the knowledge.