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MedDRA

MedDRA is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand MedDRA rather than just read about it. In short: A subscription-based product of the International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH), MedDRA or Medical Dictionary for Regulatory Activities is a clinically validated international medical terminology dictionary-thesaurus used by regulatory authorities and the biopharmaceutical industry during the regulatory process, from pre-marketing (clinical research phase…

Key takeaways

  • MedDRA belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect MedDRA to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of MedDRA from memory before moving on to harder problems.

Reference excerpt

A subscription-based product of the International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH), MedDRA or Medical Dictionary for Regulatory Activities is a clinically validated international medical terminology dictionary-thesaurus used by regulatory authorities and the biopharmaceutical industry during the regulatory process, from pre-marketing (clinical research phase 0 to phase 3) to post-marketing activities (pharmacovigilance or clinical research phase 4), and for safety information data entry, retrieval, evaluation, and presentation. Also, it is the adverse event classification dictionary. The first version of MedDRA was released in 1999 in English and Japanese. MedDRA is now translated into Chinese, Czech, Dutch, French, German, Hungarian, Italian, Korean, Portuguese, Brazilian Portuguese, Russian, and Spanish. In MedDRA version 25.0, Swedish and Latvian translations were also added. In many countries/regions the use of MedDRA by biopharmaceutical companies is mandated for safety reporting. Many other industries, including tobacco and cosmetics, are also beginning to use MedDRA for capturing adverse health events. All Regulatory Members of ICH are expected to implement MedDRA within 5 years. As of 2020, the following ICH Regulatory Members have implemented MedDRA: EC, Europe; FDA, United States; HSA, Singapore; Health Canada, Canada; MHLW/PMDA, Japan; Swissmedic, Switzerland; and TFDA, Taiwan. Information about the implementation status of MedDRA by ICH Regulatory Members is updated by ICH on its website. MedDRA is widely used internationally, with close to 7,500 subscribing organizations in almost 130 countries. Each organization, regardless of its number of users, requires only one subscription to MedDRA.

MedDRA vision In developing and continuously maintaining MedDRA, ICH endeavours to facilitate the exchange of clinical information through a single standardized international medical terminology that can be used for regulatory communication and evaluation of data pertaining to medicinal products for human use. As a result, MedDRA is designed for use in the registration, documentation, and safety monitoring of medicinal products through all phases of the development life cycle. The single standardized terminology offers several clear advantages for regulators, industry, and other stakeholders:

Removal of the need to convert data from one terminology to another preventing the loss and/or distortion of data and allowing savings in resources; Improvements in the ease, quality, and timeliness of data available for effective analysis, exchange, and decision making; Consistency of the terminology throughout the different stages of the development of a medicinal product allowing effective cross-references and analysis of data; Facilitation of the electronic exchange of data relating to medicinal products.

Organization of the dictionary The MedDRA dictionary is organized with a five-level hierarchy. The highest or broadest level is System Organ Class (SOC), further divided into High-Level Group Terms (HLGT), High-Level Terms (HLT), Preferred Terms (PT), and finally into the most granular Lowest Level Terms (LLT). In addition, the MedDRA dictionary includes Standardized MedDRA Queries (SMQs). SMQs are groupings of terms that relate to a defined medical condition or area of interest. SMQs are developed to facilitate retrieval of MedDRA-coded data as a first step in investigating drug safety issues in pharmacovigilance and clinical development. As of MedDRA 25.1, 110 SMQs have been created comprising 120 lower-level SMQs. Additional SMQs are created as the need arises. Individual cases are usually coded for data entry at the most specific (LLT) level, and outputs of counts or cases are usually provided at the PT level. The higher levels (HLT, HLGT, and SOC), as well as SMQs, are used for searching and for organizing and subtotalling outputs.

MedDRA hierarchy The five-level hierarchy provides degrees or levels of super-ordination and subordination. The superordinate term is a broad grouping term applicable to each subordinate descriptor linked to it. Hierarchical levels thus represent vertical links in the terminology. Hierarchies are an important mechanism for flexible data retrieval and for the clear presentation of data. The five-level structure of this terminology provides options for retrieving data by specific or broad groupings, according to the level of specificity required. The Lowest Level Term (LLT) level provides maximum specificity. The terminology was not developed as a formal classification or taxonomy; each level in the hierarchy may reflect a variable degree of specificity or “granularity” from one System Organ Class to another. High-Level Terms (HLTs) and High-Level Group Terms (HLGTs) facilitate data retrieval and presentation by providing clinically relevant grouping of terms. Collectively, the HLT and HLGT levels are sometimes referred to as the “grouping terms” in MedDRA. The 27 System Organ Classes (SOCs) represent parallel axes that are not mutually exclusive. This characteristic, called “multi-axiality,” allows a term to be represented in more than one SOC and to be grouped by different classifications (e.g., by etiology or manifestation site), allowing retrieval and presentation via different data sets. Grouping terms are pre-defined in the terminology and not selected on an ad hoc basis by data entry staff. Rather, the terminology is structured so that selection of a data entry term leads to the automatic assignment of grouping terms higher in the hierarchy. Multi-axial links of terms are pre-assigned in MedDRA, ensuring comprehensive and consistent data retrieval, irrespective of which SOC is selected at data retrieval. As of MedDRA 28.1 (September 2025):

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with MedDRA

Start with the simplest possible case. Write down what MedDRA claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to MedDRA before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about MedDRA ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of MedDRA

In research
MedDRA appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses MedDRA in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
MedDRA is common in secondary-school and first-year university syllabi. It links to neighbouring topics Pharmacological classification systems, Pharmacology literature, so understanding it makes those chapters shorter.
In everyday life
Look for MedDRA outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study MedDRA in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what MedDRA means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain MedDRA out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is MedDRA in simple terms?

A subscription-based product of the International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH), MedDRA or Medical Dictionary for Regulatory Activities is a clinically validated international medical terminology dictionary-thesaurus used by regulatory a…

Why does MedDRA matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study MedDRA?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on MedDRA.

Tags

  • Pharmacological classification systems
  • Pharmacology literature

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