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Rapid response to adverse event reports with AI
Biopharma companies need to monitor for adverse events to ensure patient safety and to remain in compliance with regulatory requirements, both in clinical trials and after a drug goes on the market. Manual aggregation and interpretation of adverse event data, which comes to biopharma companies in many formats and languages, entails many time-consuming steps.
Forward-thinking companies are leveraging AWS cloud-based artificial intelligence (AI) and machine learning (ML) technologies to better handle the growing workload, enabling them to automate call centers, error-proof workflows, and otherwise adapt to a data-rich world using secure cloud solutions.
In this whitepaper, you will learn about:
- Automating call centers and adding intelligence with AI services to improve information capture, provide quick analysis, help agents triage calls, and escalate quickly when necessary.
- Utilizing healthcare specific AI services to process written clinical records to capture and identify adverse events.
- Leveraging cloud technology to capture adverse events from social media channels or medical chat bot interactions.