Automating Access to Real-World Evidence.

Introduction: Real-world evidence is important in regulatory and funding decisions. Manual data extraction from electronic health records (EHRs) is time-consuming and challenging to maintain. Automated extraction using natural language processing (NLP) and artificial intelligence may facilitate this process.

An Arm and a Leg: The Rising Cost of Cancer Drugs and Impact on Access.

Increasing cancer drug prices present global challenges to treatment access and cancer outcomes. Substantial variability exists in drug pricing across countries. In countries without universal health care, patients are responsible for treatment costs.