FDA Warning Letters Analytics – Help & How to Use

FDA Warning Letters Analytics is an interactive tool for exploring publicly available U.S. FDA Warning Letters, identifying GMP and regulatory trends, searching Warning Letter content and reviewing AI-assisted analytical classifications.

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Contents

Overview

The dashboard provides an interactive view of publicly available U.S. FDA Warning Letters. It combines FDA source information with AI-assisted analytical classifications to support trend analysis, topic analysis and detailed review of individual Warning Letters.

The dashboard is designed as an analytical and regulatory intelligence tool. It does not replace review of the original FDA Warning Letter.

Filters

The filters at the top of the dashboard can be combined. Active filters are applied together.

  • Year — filters by Warning Letter issue date.
  • Month — filters by Warning Letter issue month.
  • FDA Subject — uses the Subject field supplied by FDA.
  • Issuing office — filters by the FDA issuing office.
  • GMP Topic — filters by the AI-assisted GMP topic classification.
  • Regulatory Topic — filters by the AI-assisted regulatory/CFR topic classification.

For FDA Subject, Issuing office, GMP Topic and Regulatory Topic, the values are ordered from the most frequent to the least frequent in the complete dataset. The number in parentheses shows how many Warning Letters contain that value.

This ranking remains stable while other dashboard filters are used. Time-related selectors keep their natural order: years remain chronological and months follow the calendar.

Use Reset filters to return to the complete dataset.

The Search field covers dashboard fields and the full Warning Letter text.

The full-text search index is loaded only when Search is used. This allows the main dashboard to load without downloading the large search index immediately.

A multi-word entry such as hydrogen peroxide or smoke studies is searched as that phrase. Search can be combined with all other dashboard filters.

Tip: Once you enter a search term or phrase, you can also explore relevant trends in the Topic Trend Analysis section.

Charts and cross-filtering

Most chart elements are interactive. Clicking a point or bar applies the corresponding filter to the dashboard. Clicking the same selection again clears that filter.

Examples include Warning Letter issue month, FDA Subject, issuing office, GMP Topic and Regulatory Topic. KPI cards, tables and other charts update automatically according to the active filter combination.

GMP Topic Heatmap

The GMP Topic Heatmap compares the most frequent GMP topics across the latest five years available in the dataset.

  • The number in each cell represents Warning Letters containing the GMP topic.
  • The percentage represents the share of Warning Letters in that year containing the topic.
  • Darker cells indicate a higher percentage share.

Clicking a heatmap cell filters the dashboard simultaneously by Year and GMP Topic.

The heatmap intentionally continues to display the latest five years even when a main Year filter is selected. This preserves year-to-year comparison while other active filters continue to define the analysed population.

Topic Trend Analysis

Topic Trend Analysis is a local analytical panel used to analyse how frequently a selected analytical topic appears over time.

Changing the Topic selector inside this panel does not change the main dashboard filters. However, selecting a GMP or Regulatory Topic in the main dashboard or clicking a GMP Heatmap cell can synchronize that topic into Topic Trend Analysis.

By default, the analysis uses All standard Topics (GMP + Regulatory):

  • GMP01–GMP20
  • REG01–REG23

The catch-all or non-standard codes GMP00, GMP99, REG90 and REG99 are excluded from this default aggregation.

A Warning Letter is counted only once in the combined default analysis when it contains at least one standard topic from any included classification family.

The Topic selector is grouped by classification family. Within each group, topics are ordered according to their frequency in the full dataset. The structure also allows additional analytical classification families to be introduced in future versions.

Available period comparisons include:

  • Last 12 months vs previous 12 months
  • YTD vs previous YTD
  • Current YTD vs historical YTD average
  • Selected/latest year vs historical average

Clicking a blue Warning Letters bar in the Topic Trend chart applies the corresponding Year or Year + Month filter to the main dashboard. Clicking the same bar again clears that time filter.

Warning Letter details

Click a Warning Letter row, outside the direct FDA link, to open the Warning Letter details panel.

Depending on data availability, the panel may contain:

  • AI Summary
  • GMP Topics
  • Regulatory Topics
  • Classification Evidence
  • CFR Citations
  • Full Warning Letter text
  • A direct link to the original FDA Warning Letter

AI-generated or AI-assisted analytical fields are clearly distinguished from FDA source information.

If analytical detail data are unavailable for a Warning Letter, the dashboard displays an appropriate message and continues to operate normally.

Issue date vs posted date

The dashboard distinguishes between two different FDA dates:

  • Issue date — the date of the Warning Letter itself. Year/Month filters and trend analyses use this date.
  • Posted date — the date FDA posted the Warning Letter on its website. The Warning Letter table is ordered by this date.

The two dates may fall in different months or even different calendar years.

CSV export

Download CSV exports the currently filtered Warning Letter population.

The export uses standard comma-separated CSV format with UTF-8 encoding. Exported columns include readable headings such as Posted date, Issue date, Company, FDA Subject, GMP Topics, Regulatory Topics and CFR Citations.

Some regional versions of Microsoft Excel may expect semicolon-separated CSV files. In such cases, the file may initially appear in one column and can be imported using Excel’s CSV/Text import function with comma selected as the delimiter.

Data source and updates

The primary source is the publicly available U.S. FDA Warning Letters database.

The dashboard combines FDA source information with locally generated analytical data. Dataset publication and analytical enrichment are performed through an automated processing workflow.

AI-assisted analysis

It is important to distinguish between information originating directly from FDA and analytical information produced by the dashboard.

  • FDA source fields include company, Warning Letter dates, FDA Subject, issuing office and original Warning Letter text.
  • AI-assisted analytical fields include GMP Topics, Regulatory Topics, summaries, classification evidence and derived analytical views.

AI-assisted fields are intended to support navigation, analysis and identification of trends. They are not official FDA classifications or regulatory conclusions.

Methodology

FDA Warning Letters Analytics is based on Warning Letter information published by the U.S. Food and Drug Administration (FDA). The FDA source is checked regularly and new or changed Warning Letters are added to the analytical dataset.

Each Warning Letter is processed using an AI-assisted analytical layer. The system extracts the Warning Letter text and uses it to generate a concise summary, identify relevant GMP topics, identify regulatory topics and CFR citations, and provide supporting classification evidence.

GMP Topics and Regulatory Topics are analytical categories developed for this project to support filtering, comparison and trend analysis. They are not official FDA classifications.

AI-generated classifications are based on the content of the individual Warning Letter and are intended to support regulatory intelligence and trend analysis. They should not replace review of the original FDA Warning Letter. Direct links to the FDA source are provided throughout the dashboard.

The source data are checked daily in the backend. The public dashboard is refreshed after the processed data are published, so there may be a short delay between publication of a Warning Letter by FDA and its appearance in the analytics dashboard.

Limitations and disclaimer

Disclaimer: Analytical classifications, topic assignments, summaries and derived insights are generated using automated algorithms supported by artificial intelligence. They are provided for informational and analytical purposes only and do not represent official FDA classifications or interpretations.

Automated processing may contain errors, omissions or misclassifications. Users should verify information relevant to regulatory, quality or compliance decisions against the original FDA Warning Letter and other applicable official FDA sources.

The dashboard should not be used as the sole basis for regulatory, quality or compliance decisions.

Historical comparisons involving FDA issuing offices should also be interpreted with care because organizational changes within FDA may affect the comparability of issuing-office trends over time.

FDA Warning Letters Analytics is an independent analytical resource and is not affiliated with or endorsed by the U.S. Food and Drug Administration.

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