NCT07499830

Performance of an OCR-Prompt-LLM Integrated Workflow for Extracting Multi-dimensional Clinical Data in Ischemic Heart Disease

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 308 (actual)
• Sponsor: China National Center for Cardiovascular Diseases · Other Government
• Sex: All
• Age: 18 Years
• Healthy volunteers: Accepted

Summary

This research aims to evaluate a comprehensive AI-driven workflow for both clinical data extraction and diagnostic classification in coronary artery disease (CAD). Leveraging OCR and Large Language Models (LLMs), the system is designed to extract ten key clinical parameters (such as LVEF and lab results) and provide diagnostic subtypes (UA, STEMI, NSTEMI, CCS) directly from unstructured inpatient records. A man-machine comparative trial will be conducted using a test set of 308 patients, where the performance of the LLM-based workflow will be benchmarked against the average diagnostic accuracy and processing time of seven clinical physicians. The findings will provide evidence for the feasibility of using LLMs to enhance clinical data structuring and diagnostic efficiency in cardiology.

Conditions

• Coronary Artery Disease
• Artificial Intelligence (AI)
• Data Collection

Interventions

Type	Name	Description
DEVICE	OCR-Prompt-LLM Information Extraction Workflow	The intervention is an automated clinical data management system integrating Optical Character Recognition (OCR), optimized Prompt Engineering, and Large Language Models (LLMs). The workflow processes unstructured inpatient records to extract 10 key clinical indicators (e.g., LVEF, CAD subtypes, medications) and classifies the patient into specific coronary artery disease categories (UA, STEMI, NSTEMI, CCS)
DEVICE	Manual Clinical Data Review	Standard manual process where experienced clinical physicians collect and interpret patient information from medical records. This serves as the human benchmark for comparing diagnostic accuracy and operational efficiency.

Timeline

• Start date: 2026-02-23
• Primary completion: 2026-03-01
• Completion: 2026-03-02
• First posted: 2026-03-30
• Last updated: 2026-03-30

Locations

1 site across 1 country: China