IQVIA
Thousands of organizations around the world trust IQVIA to speed drug development, ensure product quality and safety, improve commercial effectiveness, get the right treatments to patients, improve access to and delivery of healthcare, and ultimately drive better health outcomes. Reimagine clinical development by intelligently connecting data, technology, and analytics to optimize your trials. The result? Faster decision making and reduced risk so you can deliver life-changing therapies faster. With a foundation in data, advanced analytics, and expert insight, IQVIA brings specialized capabilities to customers across the healthcare ecosystem. Read and watch the latest from IQVIA data scientists, doctors, researchers, and other subject matter experts on the topics that matter to you. From industry trends to how we are applying our capabilities to help, you can find it here.
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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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Dialog
Dialog offers a modular, end-to-end pharmacovigilance literature monitoring solution that supports organizations tasked with drug safety reporting by streamlining and automating the entire literature triage process. It provides access to over 140 authoritative scientific and medical literature databases, such as MEDLINE, Embase, and Biosis, standardizing content across sources to ensure consistent precision search, deduplication, and structured XML output. The DialogML engine employs artificial intelligence to rank search results by patient-safety relevance, highlight key safety concepts, and tag references related to ICSRs (Individual Case Safety Reporting), aggregate reports (PBRER, PSUR, DSUR), and safety signals, so reviewers can rapidly identify high-priority articles. The Dialog Alerts Manager simplifies alert creation and management, offering bulk editing, audit trails of search strategy changes, scheduling flexibility, and delivery history tracking.
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Oracle Life Sciences Empirica
Oracle Life Sciences Empirica is the market-leading solution for detecting, analyzing, and managing safety signals originating in pre- and post-market drugs, biologics, vaccines, devices, and combination products. Oracle continually researches, develops, and advances the state-of-the-art data-mining algorithms and statistical techniques used in Empirica. By enabling the detection of signals with a longer lead time, Empirica can provide risk insights 7 to 22 months earlier than labeling revision dates from a time-indexed benchmark. Safety teams responsible for signal management face new challenges, such as finding hidden signals, assessing information from multiple big data sets, and providing better safety information before clinical trials even begin. Read our ebook to learn how new advances in methodologies and technologies, such as artificial intelligence, can help address these challenges.
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