Medical device regulations are stringent, updated directives such as the European Commission’s MEDEV 2.7.1.4, MDR and recent signals from the FDA mean closer scrutiny of clinical data. As a result, there are more rigorous requirements to issue regular, accurate and regulatory updates, including Clinical Evaluation Reports, Post-Market Clinical Follow-Ups, and Period Safety Update Reports.
To meet these requirements, you have likely been using Embase to retrieve information from biomedical literature specific to medical devices. Searches in Embase are comprehensive and relevant because of the extensive content coverage, granular indexing, and device-specific terms.
The Emtree VOCab is the index behind Embase that powers those searches. At SciBite, we have created the Emtree VOCab to apply the same granular indexing across your internal documentation and reports to support your work with Embase. SciBite, we have created the Emtree VOCab to apply the same granular indexing across your internal documentation and reports to support your work with Embase. The Emtree VOCab includes:
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In the first of this two-part blog, I describe what ontologies are and how you can use them to make the best use of scientific data within your organisation.
ReadThis blog post focuses on mapping, building, and managing ontologies. In my previous blog, I described what ontologies are and how you can use them to make the best use of scientific data within your organization. Here I’ll expand upon this and focus on mapping, building, and managing ontologies.
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