The disruptive role of AI and Real World Evidence in delivering 4P Medicine
Information
The concept of 4P Medicine - Prevention, Prediction, Personalized, and Participatory - represents a significant shift towards personalized healthcare delivery, enabled by technological advances. Innovations in clinical trials and drug development have produced vast amounts of real-world evidence (RWE), showing lower costs and better outcomes. By leveraging AI and machine learning (ML), healthcare systems can use RWE to develop algorithms that identify diseases earlier, more accurately, and improve patient access to care. Predictive analytics enhance early disease detection and outcome forecasting, while personalized treatment plans and participatory medicine empower patients and improve engagement. Implementing this model requires collaboration among healthcare stakeholders, ethical data use, regulatory compliance, and strategies for scaling and sustainability. This session will explore practical steps and share insights from various stakeholders to achieve this transformative approach in healthcare.
