
The AI in Business Podcast
The Future of Adverse Event Detection in Healthcare and Life Sciences - with Marie Flanagan of IQVIA
May 6, 2025
Marie Flanagan, a Director at IQVIA, dives into the exciting intersection of AI and safety workflows in healthcare. She discusses the surge in data complexity, from social media insights to audio recordings, posing challenges for pharmacovigilance. Marie highlights how AI tools like voice-to-text transcription are revolutionizing data management, allowing safety teams to focus on critical tasks. She stresses the irreplaceable role of human judgment in interpreting nuanced clinical situations, showcasing a balanced approach to enhance patient safety.
21:37
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Quick takeaways
- The increasing volume and diversity of data in healthcare amplifies challenges for pharmacovigilance, necessitating the integration of AI to enhance safety workflows.
- While AI improves efficiency through automation, human expertise remains crucial for accurately interpreting complex clinical contexts and ensuring patient safety.
Deep dives
The Impact of Diverse Data on Safety Workflows
The increase in diverse data types, particularly from audio and video sources, is significantly influencing safety workflows in the life sciences sector. As various channels such as social media, call centers, and electronic health records generate a greater volume of data, organizations face challenges in managing and analyzing this information for potential risks. This influx necessitates the adoption of advanced automation and AI technologies to enhance data processing capabilities and streamline workflow efficiency. Companies must adapt to integrate these diverse inputs into their safety frameworks to ensure effective risk management and regulatory compliance.
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