Risks To Consider When Implementing AI Technology In Medical Information

By Valerie Huh, Director, Global Innovation and Implementation

Artificial Intelligence (AI) is revolutionizing Medical Information (MI) by enhancing service accessibility and accuracy for patients and healthcare providers. AI is used throughout MI workflows, from triaging to response generation and quality control, with tools like Natural Language Processing (NLP) supporting efficient, accurate information delivery. This AI integration allows MI specialists to respond faster and improve service quality through collaborative AI-human interactions.

However, integrating AI in MI involves significant challenges, including regulatory gaps, data privacy, model biases, and expertise limitations among developers and MI teams. Proactive strategies are essential to mitigate these risks. To ensure ethical and effective AI use, a global regulatory framework is needed. ProPharma provides expert guidance for navigating AI complexities in MI, assisting organizations in responsibly implementing AI to enhance patient and provider experiences. By proactively managing risks, MI teams can harness AI’s full potential to deliver reliable and responsive information services.