Selta Square, a valued collaborator expanding through the Business Process Services (BPS) model to reach new customers, is using Oracle Argus to deliver comprehensive drug safety solutions to the rapidly expanding South Korean life sciences market. With Oracle Argus, Selta Square can provide comprehensive and reliable safety case processing for its clients to support patient safety, regulatory compliance, and foster regional growth.
Selta Square utilizes their own technologies, especially in data migration and safety data standardization, to enhance the capabilities and efficiency of the Oracle Argus platform.
With Oracle Argus safety platform Selta Square can automate case processing and global regulatory reporting workflows for its clients. This enables faster turnaround times, helps reduce manual effort, and helps Selta Square align with South Korea’s Ministry of Food and Drug Safety standards and international regulatory bodies, such as the European Medicines Agency and the US Food and Drug Administration, so clients can expand their reach into new regions.
Oracle Argus is a leading, trusted solution for processing, analyzing, and reporting adverse event cases originating in premarket and post-market drugs, biologics, vaccines, devices, and combination products.
Min Kyung Shin, chief executive officer, Selta Square
Working with Oracle is a strategically important step for Selta Square and for the advancement of life sciences and to drive more effective and efficient pharmacovigilance in South Korea. Argus delivers the innovative and robust pharmacovigilance capabilities our clients need to adapt to the dynamic regulatory landscape, accelerate their growth, and expand their businesses globally
Seema Verma, executive vice president and general manager, Oracle Health and Life Sciences
Our trusted, proven pharmacovigilance solutions are used by leading pharmaceutical companies to address safety standards around the globe and accelerate their drug safety processes. Oracle Argus leads the way to next-generation multivigilance through AI-driven automation and data science-based innovation
