Looking to empower your organizations with high quality patient data? Human abstraction has long been considered the gold standard for extracting high quality information from EHR data. With the rise of NLP, large language models, and machine learning, the question becomes: how should we evaluate these new technologies against the traditional abstraction methods?
Join Karim Galil and Sailu Challapalli as they walk through a breakthrough quality framework for understanding AI output.
In this webinar, we’ll cover:
- Challenges facing Real-World Evidence Organizations
- When should your organization use AI
- A Quality Framework to assess how AI performs
- How AI and Clinicians can work together