The Ultimate Guide to AI in Pharmacovigilance and Safety Reporting
Explore how AI enhances safety reporting, automates processes, and drives compliance in pharmacovigilance.
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The Role of Automation in Pharmacovigilance and Patient Safety
Meeting strict regulatory timelines, like the FDA’s 15-day post-market reporting rule for serious adverse events, demands speed and precision. Global studies introduce additional challenges, such as multilingual data translation, requiring rapid and accurate submissions. By leveraging AI and automation, pharmacovigilance teams can process data faster, improve accuracy, and stay compliant with local and international mandates.
Key Use Cases in Pharmacovigilance Optimization
The rapid rise of artificial intelligence presents an opportunity for effective and transformative applications in pharmacovigilance. Intake, query routing and response, case reporting, HAQs, and more are now extremely feasible. Use cases create exponential efficiency in reducing costs, administrative burden, and timelines while increasing quality and, most importantly, improving safety.
Reporting Adverse Events
Automating the triage and translation of adverse event reports significantly reduces processing time by over 35%, ensuring compliance with strict regulatory deadlines. AI streamlines case routing, redaction, and machine translation (MT), allowing safety teams to address global cases in real time, enhance patient safety, and safeguard reputation.
Traditionally a manual process, adverse event reporting must be completed within 15 days of submission, often in multiple languages. Automation ensures timely and accurate processing, providing English translations as required for regulatory compliance.
Patient Queries
AI-powered chatbots and FAQ sections streamline responses to patient inquiries, reducing wait times and administrative workload. Machine-translated templates ensure accessible, region-specific information, supporting product commercialization in global markets.
As healthcare becomes more transparent, patients increasingly take ownership of their health data, directly contacting sponsors, exploring patient programs, and researching products beyond their local markets.
Contact Centers
Contact centers play a vital role in reporting adverse events, providing patients and caregivers with accessible, multilingual support around the clock. Accurate written feedback from these interactions ensures compliance with regulatory requirements and facilitates precise case triage.
Real-time multilingual translation during follow-ups enhances accuracy, reduces localization costs, and ensures 100% regulatory compliance, prioritizing patient safety and streamlined operations.
Health Authority Queries
Health authority queries (HAQs) often delay approval timelines as sponsors sift through vast clinical trial documentation to respond. Using natural language processing (NLP), sponsors can quickly extract relevant data from source files, expediting query resolution.
HAQs cover a range of topics, from manufacturing processes to clinical study outcomes, and must be addressed under tight deadlines. Streamlining responses with NLP minimizes delays and accelerates product approvals and launches.
Data Auto-Labeling
Sponsors accumulate vast amounts of unstructured data from studies, product launches, and patient interactions. Manual labeling is time-consuming and error-prone, leading to inefficiencies and potential quality issues.
Automated, HIPAA-compliant data labeling ensures accurate annotations across audio, video, image, and text, enabling scalability and faster timelines. This accuracy is crucial for meeting launch deadlines and safeguarding patient safety.
Dive Deeper into AI in Pharmacovigilance
Explore the full resource to uncover all the insights and strategies for leveraging AI and automation in pharmacovigilance. From foundational concepts to advanced use cases, our web based content provides everything you need.
Feature Evaluation Checklist for PV Tools
Evaluate pharmacovigilance tools carefully to ensure they meet your organization’s needs. From automation to compliance, the right features can transform safety reporting and workflow efficiency.
Real-Time Monitoring: AI-powered systems provide immediate alerts for adverse events, reducing reporting delays and enhancing patient safety.
Data Annotation for Scalability: Accurate labeling of unstructured data ensures datasets are ready for analysis and supports scaling workflows as volumes grow.
Comprehensive Reporting Tools: Solutions must handle all required formats, such as ICSRs, PSURs, and DSURs, to ensure global compliance.
Predictive Analytics: Advanced analytics tools identify trends and risks early, enabling proactive decisions and improving outcomes.
Training and Support: Look for tools that come with robust training resources and 24/7 support to maximize adoption and long-term success.
Streamline Pharmacovigilance Reporting with TransPerfect
Achieve Compliance, Enhance Efficiency, and Reduce Costs with AI-Powered Pharmacovigilance Solutions Tailored for Your Needs
Empowering PV Teams
Navigating global pharmacovigilance challenges has never been easier. TransPerfect blends advanced AI technology with expert support to accelerate reporting, reduce costs, and ensure compliance. Our solutions simplify complex workflows and prioritize patient safety.
Comprehensive Solutions for PV Success
From real-time case intake to automated redaction and multilingual translation, TransPerfect’s tools streamline every step of the pharmacovigilance process. Our AI-powered reporting reduces timelines by over 75%, ensuring faster regulatory submissions and impeccable accuracy.
Prioritize Compliance and Efficiency
With global call center support and advanced media monitoring, we provide seamless communication and operational transparency. TransPerfect delivers the tools you need to meet global regulatory demands while reducing localization costs by 30%.
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