MedDRA-Based Pharmacovigilance & Drug Safety Annotation
Overview
MedDRA-Based Pharmacovigilance & Drug Safety Annotation is a text dataset. It covers English. Typical applications include alignment & RLHF and clinical NLP. Relevant sectors: Healthcare and Science & Research. The listing mentions transcription. The provider lists it without a licence fee; terms should still be confirmed before commercial use.
Primary applications
What the listing offers
- Listing mentions transcription.
- A sample is indicated as available from the provider.
- Version 1 as published by the source.
The provider provides expert-led pharmacovigilance annotation by structuring adverse drug reactions (ADRs), side effects, patient complaints, medication responses, and safety signals using MedDRA’s hierarchical terminology. Each annotation captures clinical relationships between drugs, symptoms, diagnoses, and outcomes, producing high-quality, regulatory-ready safety datasets. These MedDRA-mapped datasets support pharmacovigilance reporting, post-market surveillance, benefit–risk assessment, and automated safety analytics. AI teams use the data to train and validate models for adverse event detection, safety signal identification, and trend monitoring across unstructured sources such as telemedicine transcripts, clinical notes, and patient portals. All annotations are reviewed by qualified medical professionals to ensure accurate differentiation between drug-related effects and unrelated findings, making the datasets suitable for regulated pharmaceutical and life sciences environments.
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- Language
- English
- Volume
- —
- Domain
- Healthcare +1
- Use case
- Alignment & RLHF
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