The sheer complexity and time-intensive nature of the drug development timeline and clinical trial process has been a longstanding pain point for both pharmaceutical companies and health systems alike. This session will be a deep dive into how a major healthcare organization has seen quantifiable improvements in this process through the integration of AI, NLP, metaprise analytics, and clinical trial matching tools into the process.
Participate in this session to gain an understanding of how:
•Integrating AI to mine electronic medical records for patients meeting exclusion and inclusion criteria
•Using cognitive computing systems to reduce the administrative and financial burden related to conducting clinical trials
•Eliminating care disparities in clinical trials
•Leveraging data to reduce the noise, bias, masking effect and placebo effect that can negatively impact the veracity of clinical trial findings