The DRE AI machine learning architecture of the system dynamically links unstructured natural language, such as PubMed abstracts, with semi-structured information from other sources like clinical trial registrations and even news articles.

Doctor Evidence is Empowering Researchers with an Intuitive AI Solution for Rapid Literature Review and Surveillance - Updates to a User-Friendly Interface in DOC Search


SANTA MONICA, Calif.June 19, 2019 /PRNewswire/ -- Doctor Evidence, a global health technology and consulting company in biomedical research, releases new updates and an interactive user interface for the DOC Search platform on June 24th.

DOC Search was designed to empower both novice and experienced researchers with a user-friendly turnkey solution to independently conduct rapid literature reviews and monitor for updates. Traditional searches can be inefficient and error-prone, involving blindly searching PubMed, manually reviewing the results, iteratively building out complex search strategies, and then translating those strategies for use in other databases. Comprehensiveness depends on deep domain knowledge, along with training to structure the query appropriately for each topic and database.

DOC Search

Our database currently contains ~32.0 million documents and 1.3 million concepts (2.8 million terms).

We currently index PubMed (30.3 million), ClinicalTrials.gov (319,124), DailyMed (97,803), WHO-ICTRP (541,334), EPAR (1,412), ASCO (28,552), ASH (10,709), RSS feeds (514,948 from 489 feeds).
Number of items per feed category: news: 353,272, official: 121,554, social: 40,471



Search across DailyMed and MHRA libraries by product, manufacturer, or within label sections using Doctor Evidence’s advanced synonym manager for key words or phrases, including variations on search terms.


Follow labels and searches to receive automated updates and comparisons of label versions for competitive intelligence and label review.


Create and export comparison tables to multiple formats (Word, Excel or HTML).


Doctor Evidence (DRE) is a software, data, and services company that has applied more than a decade of deep domain knowledge and the latest in applied artificial intelligence (AI) technology to offer clients the most robust and agile system to quickly find and analyze medical literature for their living evidence initiatives.