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Description
DF Literature Monitor is a cutting-edge AI-driven tool that streamlines the process of monitoring extensive literature and enhances safety oversight procedures. It connects with key local and global literature sources to retrieve articles simultaneously, utilizing semantic search technology to efficiently pinpoint pertinent research. The system includes features such as automatic de-duplication, the extraction of essential safety information, and the capability to auto-fill safety case forms, which can be easily submitted to safety databases in E2B or Excel/PDF formats with just one click. Furthermore, it provides automated translation services for abstracts and complete articles into English. DF Literature Monitor is equipped with customizable workflows that promote teamwork and ensure quality control within pharmacovigilance teams. By adopting this solution, organizations can significantly reduce the time and resources spent on literature monitoring by as much as 60% or more, all while maintaining high standards of quality and regulatory compliance. Ultimately, the tool represents a significant advancement in the field of pharmacovigilance, allowing teams to focus on critical analysis rather than manual processes.
Description
MEDLINE serves as the flagship bibliographic database of the National Library of Medicine (NLM), boasting over 29 million references to journal articles primarily focused on life sciences and biomedicine. One of the unique aspects of MEDLINE is its use of NLM Medical Subject Headings (MeSH) for indexing records, which enhances searchability and organization. It plays a crucial role as the foundational component of PubMed, a comprehensive literature database managed by the NLM's National Center for Biotechnology Information (NCBI). MEDLINE is essentially the digital evolution of the MEDical Literature Analysis and Retrieval System (MEDLARS), which was established in 1964. The selection of journals for inclusion in MEDLINE largely relies on the recommendations made by the Literature Selection Technical Review Committee (LSTRC), which comprises external experts appointed by the NIH. The database encompasses literature published from 1966 to the present day, alongside select works from earlier years, thereby providing a rich historical context for researchers. Overall, MEDLINE stands as a critical resource for professionals seeking reliable and organized biomedical literature.
API Access
Has API
API Access
Has API
Integrations
AWS Marketplace
Clarium Astra OS
Compier Literature Screening
ConnectPointz
DF mSafety AI
ElevateHT
Microsoft Excel
SNF Metrics
Integrations
AWS Marketplace
Clarium Astra OS
Compier Literature Screening
ConnectPointz
DF mSafety AI
ElevateHT
Microsoft Excel
SNF Metrics
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Datafoundry
Founded
2016
Country
India
Website
datafoundry.ai/literature-monitor/
Vendor Details
Company Name
National Library of Medicine
Country
United States
Website
www.nlm.nih.gov/medline/medline_overview.html