Healthcare Natural Language Processing -- Corpus Construction for Named-Entity and Entity Relations for Electronic Medical Records of Cardiovascular Disease -- Hybrid Granularity-based medical event extraction in Chinese electronic medical records -- Infusing Dependency Syntax Information into a Transformer Model for Document-Level Relation Extraction from Biomedical Literature -- A Review of Biomedical Event Trigger Word Detection -- BG-INT: An Entity Alignment Interaction Model Based on BERT and GCN -- An Semantic Similarity Matching Method for Chinese Medical Question Text -- A Biomedical Named Entity Recognition Framework with Multi-Granularity Prompt Tuning -- Healthcare Data Mining and Applications -- Automatic Extraction of Genomic Variants for Locating Precision Oncology Clinical Trials -- Identification of sepsis subphenotypes based on bi-directional long short-term memory Auto-Encoder using real-time laboratory data collected from intensive care units -- Machine Learning for Multimodal Electronic Health Records-based Research: Challenges and Perspectives -- An End-to-End Knowledge Graph Based Question Answering Approach for COVID-19 -- Discovering Combination Patterns of Traditional Chinese Medicine for the Treatment of Gouty Arthritis with Renal Dysfunction -- Automatic Classification of Nursing Adverse Events Using a Hybrid Neural Network Model -- Node research on the involvement of China's carbon tax policy in the context of COVID-19.

This book constitutes refereed proceedings of the 8th China Conference on China Health Information Processing Conference 2022 held in Hangzhou, China from August 26-28, 2022. The 14 full papers presented in this volume were carefully reviewed and selected from a total of 35 submissions. The papers in the volume are organised according to the following topical headings: healthcare natural language processing;healthcare data mining and applications.