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Can Flipped eLearning be Effective for Continuing Medical Education

Author: Rahul Singh

Posted On Jun 11, 2018   |   4 Mins Read

Are you a Continuing Medical Education (CME) provider constantly on the lookout for ways to create value for medical practitioners through your education programs? Since these are already practicing physicians with long and unpredictable working hours, it is quite challenging to cater to their learning requirements. In this blog, we shall look at the flipped eLearning model as a potential way to make the CME experience more appealing for the medical community. This model is being effectively used by some of our customers for quite some time now. It prioritizes assessments over content unlike the typical eLearning model where content comes before assessments. Since these providers are dealing with learners who are practicing physicians and already know their stuff, the idea is to focus on reinforcement and not introducing new content. Hence the flipped eLearning model could help.

The flipped eLearning model thrives on the belief that assessments are more reflective of what the physicians are doing in practice, and can incentivize them to learn new things. In this model, short assessment nuggets can be used as the first point to engage the practitioners. These nuggets that can typically be completed in 2-5 minutes can be aimed at assessing their knowledge on particular subjects. Once the practitioners attempt them, the nugget can then teach them the required lessons through feedback. This enables practitioners to be more receptive of the learning module. In case they have answered the assessment question correctly, they are keen to explore further on the subject. In case the answer is wrong, they are keen to know the right option. In both the cases, they are more receptive to learning. And since this learning doesn’t demand much time out of their busy schedules, they are happy to undertake it.

The use of assessments to gauge actual knowledge and then enhance it, also calls for using advanced methods to evaluate, rather than just multiple choice questions. Explorative and immersive assessments, simulated operations on virtual patients, allow for more in-depth exploration of the assessment questions. Automated scoring and tracking could make this flipped eLearning model more useful, since the providers can assess the physician progress from time to time and direct the learning modules as per individual needs.

What are your thoughts on using this flipped eLearning model? Do you think it could have a positive impact on their engagement and reception levels? We would love to hear from you.

Forward-Deployed Engineering

Additional Perspectives on the FDE Model

Forward-deployed engineering is gaining attention as a way to bring engineers closer to customer problems and real-world implementation. Several organizations describe this model as a way to align engineering work with customer needs, systems, and workflows. Here are a few resources that offer additional perspectives on the FDE model:https://www.griddynamics.com/glossary/forward-deployed-engineering

https://miragemetrics.com/guides/forward-deployed-engineering

https://www.cognizant.com/us/en/glossary/forward-deployed-engineer

https://fde.academy/blog

About Harbinger Group

Harbinger Group is a global Advisory-Led Performance Enablement company. For more than three decades, we’ve partnered with organizations in the people business, helping Enterprises, B2B SaaS vendors, and Digital Publishers close the gap between where workforce and learning performance is today and where it needs to be.
We work across Workforce Technology and Digital Learning domains. In each, we diagnose the friction limiting performance first, then engineer the fix, combining strategic advisory with digital product engineering and eLearning content development to deliver solutions built around the workflows, metrics, and outcomes each workforce owns.
Our pedigree in product engineering and digital learning has built a culture of continuous learning. We apply technologies like Agentic AI where they deliver measurable performance gains for our customers not because they’re new, but because they close the gap.

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