Medically Trained AI for Insights Generation and Communication
Aug 29, 2023
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Tom Hughes, CEO of Virtual Science AI, shares insights on the transformative potential of generative AI in medical affairs. He discusses how these technologies can streamline data synthesis, enabling teams to derive actionable insights more efficiently. The conversation highlights the importance of overcoming data silos and responsibly adopting AI for compliant medical applications. Additionally, they underline the critical role of human oversight in communicating insights, ensuring quality while enhancing interactions with leadership and clients.
Generative AI is revolutionizing Medical Affairs by rapidly synthesizing diverse data, significantly reducing insight generation time from weeks to hours.
Specialized AI solutions ensure compliance and data privacy, enabling pharmaceutical companies to leverage powerful insights safely without risking confidential information exposure.
Deep dives
Understanding Generative AI in Medical Affairs
Generative AI refers to a type of artificial intelligence that uses transformer models to predict and create new content based on training data. This contrasts with traditional AI by not only analyzing existing information but also generating new knowledge through a self-learning process. In medical affairs, generative AI is gaining traction as it allows for rapid insight reports that summarize trends and themes from advisory panels, significantly reducing the time needed for data processing from weeks to just hours. The ability to synthesize past experiences and learn from vast amounts of data makes generative AI a powerful tool for improving decision-making in the pharmaceutical industry.
Compliance Challenges and Solutions
One significant hurdle in adopting generative AI within medical affairs is ensuring compliance, especially with large language models like ChatGPT, which can pose risks of data breaches due to their public nature. Many pharmaceutical companies have advised against using public models for sensitive information handling, as there is a risk that confidential data could be exposed. However, specialized AI solutions, such as those developed by Virtual Science AI, provide tailored, compliant environments that ensure data privacy for each client. This allows companies to leverage AI safely while still gaining timely insights from diverse data sources.
Leveraging Diverse Data for Improved Outcomes
The use of generative AI enables companies to analyze fragmented data from various sources, breaking down silos and creating a more holistic view of information across medical affairs, clinical development, and commercial sectors. By aggregating internal and external datasets, generative AI can expedite drug approvals and enhance patient outcomes through more robust evidence. For instance, companies have successfully responded to regulatory inquiries swiftly by integrating vast amounts of relevant data to support their case. This collaborative approach fosters a culture of innovation and efficiency, meeting emerging medical needs more effectively.
Generative AI technologies are allowing Medical Affairs teams to find insights in more and more diverse data in less time and with more robust results. Here MAPS speaks with experts from Virtual Science AI including CEO, Tom Hughes, Chief Customer Officer, Geraldine Reilly, and Chief Technology Officer, Hans Chen about how this word, "Generative," has elevated the promise of AI — and how innovative Medical Affairs teams are leveraging these technologies to provide value for their organizations while driving patient benefit.
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