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

NCT07795450 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 4800

Last updated 2026-08-31

No results posted yet for this study

Summary

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.

Conditions

  • Critical Care Medicine
  • Mortality Prediction

Sponsors & Collaborators

  • Peking University

    collaborator OTHER

  • Peking University People's Hospital

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-01-01
Primary Completion
2026-12-31
Completion
2027-12-31

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07795450 on ClinicalTrials.gov