HealthcareNLP: where are we and what is next?
This tutorial structures Healthcare NLP into three layers: data/resource, NLP-Eval, and patients. It covers achieved tasks like NER, relation extraction, and clinical coding using various models from rule-based systems to LLMs and RAG. The future focuses on patient-centric applications such as shared decision-making support and addressing data scarcity through synthetic data.