DF Literature Monitor
DF Literature Monitor is an advanced AI-powered solution designed to automate the monitoring of vast amounts of literature and optimize safety vigilance processes. It integrates with major global and local literature sources for simultaneous article retrieval, employing semantic search to identify relevant articles efficiently. The platform features automatic de-duplication, extraction of minimum safety information, and auto-population of safety case forms, which can be submitted to safety databases in E2B or Excel/PDF formats with a single click. Additionally, it offers automated translation of abstracts and full articles into English. DF Literature Monitor includes configurable workflows to facilitate collaboration and quality control among pharmacovigilance teams. By leveraging this solution, teams can save up to 60% or more time and effort in the literature monitoring process while ensuring quality and compliance.
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PvEdge
PvEdge is a cloud-ready pharmacovigilance software designed to provide end-to-end compliant safety solutions for drugs, devices, vaccines, and combination products. It offers a comprehensive safety database that manages pharmacovigilance intake, case processing, submissions, AI & analytics, and safety signals all in one platform. The system adheres to existing and upcoming regulations, such as 21 CFR Part 11, ANNEX 11, GxP, and GDPR, ensuring global compliance. PvEdge utilizes advanced automation powered by AI and machine learning algorithms to enhance efficiency in drug safety database management. Key features include automated literature monitoring, ICSR submissions, smart triage, automated signal detection, and document automation. The platform also provides a controlled document management system for creating, managing, and publishing pharmacovigilance documents, as well as a risk-based enterprise quality management system to implement quality processes and training records.
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CoVigilAI
CoVigilAI is an AI-enabled medical literature monitoring solution that employs advanced algorithms and data analytics to proactively detect and manage adverse drug events, ensuring patient safety and regulatory compliance in real time. The platform offers streamlined tracking of scientific and medical publications across prominent global literature databases such as PubMed and Embase, with customizable search strings facilitating an effortless pharmacovigilance literature monitoring journey. Periodic surveillance of scientific and medical literature databases and publications from diverse local journals is conducted, encompassing both global literature monitoring and localized literature surveillance. Advanced algorithms categorize Individual Case Safety Reports (ICSRs) into valid, potential, and invalid cases, while automated key entity detection efficiently recognizes crucial entities like patients, medications, adverse events, and designated medical events.
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Compier Literature Screening
Compier Literature Screening is an AI-driven platform designed to assist pharmacovigilance professionals in efficiently screening abstracts, full texts, and translated articles to identify patients, authors, events, products, and safety-related information. The platform offers built-in integration with online biomedical databases such as Medline and supports bulk uploading of literature records from sources like Embase, conference presentations, and PDF journals. It performs automated duplicate checks for each literature search and utilizes validated AI models for automatic screening and annotation of entities. Users can configure scalable literature screening workflows tailored to specific requirements and global regulations. The system facilitates communication with third-party vendors to obtain full texts and includes built-in translation capabilities. It also integrates with safety systems, such as Oracle Argus Safety, to transmit ICSR-relevant articles.
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