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microLearning

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DateProductLocationPrice 
microLearning (yearly subscription)eLearningEUR 250.00Book
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microLearning online training - ECCRT

About this course

Reasons to attend

Do you need straightforward instructions on how to write an effective CAPA? Are you looking for a brief explanation on what is the difference between ISO 14155 and GCP? Are you tired of following hours of trainings on how to make a worksheet for clinical source data? We created a perfect solution for you, tailored to your needs and taking the little time we all have into account, microLearning.If you are interested in a corporate subscription, please contact us at: info@eccrt.com


  • What are microLearnings?
microLearnings are bite-sized (10-15 minutes), online learning activities (like a short instructional video) that you can choose from a library of topics. The aim is to cover your needs here and now: accessible whether you are in the office, on the road or at home. They are focused on specific learning outcomes, that will provide the skillsets for your profession and your career and will give you a competitive career advantage. These will give you tangible solutions to problems, difficulties and practical challenges you may have encountered at work.

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  • How does it work?
You will have access to the comprehensive library of microLearning modules through our Virtual Campus where you can choose whatever microLearning will be of interest to you. We are developing and releasing one new microLearning course per month. There are currently over 45+ microLearnings for you to choose from.   You can easily navigate through our platform, choose the content that is relevant for you and watch microLearning topics at any time and any place you want. New content is released on an ongoing basis to promote the latest updates and developments in clinical research.   If you cannot find what you are looking for in the library, submit a suggestion to us and we will consider developing your proposal of a topic.
  • microLearning example
You can find an example of a microLearning below:  

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