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What is MEDLINE?

MEDLINE is the premier bibliographic database of the National Library of Medicine (NLM), containing more than 29 million citations to journal articles that primarily cover life sciences and biomedicine. An important feature of MEDLINE is its utilization of the NLM Medical Subject Headings (MeSH) for indexing, which significantly improves both searchability and organization of the records. Serving as a fundamental element of PubMed, which is a vast literature database overseen by the NLM's National Center for Biotechnology Information (NCBI), MEDLINE effectively connects users to a wealth of information. This database represents the digital advancement of the MEDical Literature Analysis and Retrieval System (MEDLARS), which was first introduced in 1964. The process of selecting journals for MEDLINE is heavily influenced by the Literature Selection Technical Review Committee (LSTRC), consisting of external specialists appointed by the NIH. The collection includes literature published from 1966 to the current day, along with certain significant works from prior years, thus offering researchers an extensive historical backdrop. In essence, MEDLINE serves as an indispensable tool for healthcare and academic professionals in need of trustworthy and well-organized biomedical literature, making it a cornerstone for research and discovery in the field.

What is Compier Literature Screening?

Compier Literature Screening is an AI-driven tool designed to assist pharmacovigilance professionals in enhancing the efficiency of their review processes for abstracts, full texts, and translated documents to extract relevant details regarding patients, authors, events, products, and safety information. This cutting-edge platform integrates effortlessly with a range of online biomedical databases, such as Medline, and empowers users to upload large volumes of literature from diverse sources like Embase, conference proceedings, and PDF journals. It performs automated checks to eliminate duplicate entries for each literature search and utilizes validated AI technologies for the automatic identification and annotation of critical information. Users can customize scalable literature screening workflows tailored to their specific requirements while adhering to global regulatory standards. The system further fosters collaboration with external vendors to obtain full texts and is equipped with capabilities for translation. Additionally, it integrates seamlessly with safety management systems like Oracle Argus Safety, facilitating the sharing of articles pertinent to Individual Case Safety Reports (ICSRs) and thereby bolstering thorough safety monitoring. By streamlining these processes, the platform ultimately aims to enhance both the accuracy and effectiveness of pharmacovigilance operations, providing a valuable resource for professionals in the field. Furthermore, its user-friendly interface ensures that even those with minimal technical expertise can navigate the system efficiently.

Media

Media

Integrations Supported

AWS Marketplace
Clarium Astra OS
Compier Literature Screening
ConnectPointz
ElevateHT
SNF Metrics

Integrations Supported

MEDLINE
Oracle Argus

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

National Library of Medicine

Company Location

United States

Company Website

www.nlm.nih.gov/medline/medline_overview.html

Company Facts

Organization Name

Techsol Life Sciences

Date Founded

2010

Company Location

Techsol Life Sciences

Company Website

www.techsollifesciences.com/pharmacovigilance/compier-literature-screening/

Categories and Features

Academic Research

Not specified

Categories and Features

Pharmacovigilance

Not specified

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