Medical Literature screening for safety reporting

Drug safety reporting requires the meticulous review of thousands of articles and studies. A safety reporter must pay close attention to numerous details and consider multiple factors while reviewing a case in order to determine whether an incident would warrant a safety report. With new drugs being developed every year, and hundreds of studies being published every day, it can be difficult to swim through the sea of information to find relevant information.

Our Literature Automation and Segregation Tool sifts through PubMed, the world's largest and most popular medical literature database, and finds articles relevant to any specified drug. Our GPT-powered AI engine will then extract information relevant to the drug, test subject or patient, and any event that occurred as a result of the medication. The tool will then highlight cases that could potentially warrant an individual case safety report.

This tool provides an efficient and accurate way to extract information for more effective screening of medical literature by a medical safety reporter.