Clinical Validation of a Pre-trained and Fine-tuned Model for Analyzing Time-Series Electronic Health Records in Critical Care

The goal of this observational study is to validate the generalization capability and predictive performance of the "Time-Series Electronic Health Record Foundation Model (EHR Foundation Model)", which was pre-trained on a large-scale critical care dataset, within the real-world clinical environment of the Intensive Care Unit (ICU) at Peking University People's Hospital. The main question it aims to answer is: · Based on the "pre-training + fine-tuning" paradigm, whether the EHR foundation model can effectively provide accurate and dynamic prognostic support information in real-world clinical scenarios. Participants who agree to take part in the research, in addition to completing the signed informed consent form, if the patient's hospital stay is too short, will be obtained information on prognostic outcomes (e.g., 28-day mortality) through telephone follow-up.