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First Databank (FDB) is a provider of drug and medical device databases. FDB partners with information system developers to deliver useful medication- and medical device-related information to clinicians, business associates, and patients. FDB is part of Hearst and the Hearst Health network.
The analysis highlights History, Art and Companies as prominent areas in the source structure around First Databank.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around First Databank shows recurring relationship patterns in the source. For example, First Databank → California, CPOE, Dubai, EHR, EMAR, EMR, England, Exeter, FDB, Hearst Corporation, Hyderabad, India, Indiana, Indianapolis, Prescribing, San Francisco, The, They, UAE Another extracted example is First Databank → AWPs, Boston, FDB, Massachusetts, McKesson, McKesson Corporation, The. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
drug fdb first databank information medical prices drugs data hearst systems mckesson databases national knowledge litigation corporation website clinical order
TTTA extracted 48 structured relationships around First Databank. Examples in this analysis include First Databank → Founded → 1978; 48 years ago (1978) and First Databank → Headquarters → 2 Tower Place, 21st Floor South San Francisco, California, U.S.. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| First Databank | Founded | 1978; 48 years ago (1978) | 1.00 | infobox |
| First Databank | Headquarters | 2 Tower Place, 21st Floor South San Francisco, California, U.S. | 1.00 | infobox |
| First Databank | Industry | Healthcare | 1.00 | infobox |
| First Databank | Industry | Information technology | 1.00 | infobox |
| First Databank | Key people | Charles Tuchinda executive chairman) | 1.00 | infobox |
| First Databank | Key people | Cynthia MacAskill (senior vice president, finance) | 1.00 | infobox |
| First Databank | Key people | Virginia Halsey (senior vice president, strategy and product management) | 1.00 | infobox |
| First Databank | Number of employees | 400 | 1.00 | infobox |
| First Databank | Parent | Hearst Corporation | 1.00 | infobox |
| First Databank | Type | Subsidiary | 1.00 | infobox |
| First Databank | Website | fdbhealth.com | 1.00 | infobox |
| age | instance of | Drug orders are generated based on patient parameters | 0.80 | text |
The concept neighborhoods around First Databank bring nearby vocabulary together. In this analysis, examples include First, Drug and Information. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For First Databank, one of the stronger structural bridges in this analysis connects First Databank with History. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around First Databank to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Art & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — First Databank · EN edition · Analysis: TopicsToTalkAbout