Evaluation of the Accuracy of Intensive Care Unit (ICU) Admission Indications in Emergency Department Patients: A Comparison Between Clinical Decisions and ChatGPT-4o Prediction
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 624
- 试验地点
- 2
- 主要终点
- Accuracy rate of ChatGPT-4 in predicting ICU indications
研究概览
简要总结
This retrospective study evaluates the accuracy of ICU admission indications by comparing clinical decisions with predictions from ChatGPT-4. Patient data, including demographics, vital signs, laboratory results, imaging findings, and clinical decisions, will be retrospectively collected and documented systematically using Case Report Forms. The model will be trained using ICU admission guidelines and tasked to predict ICU needs based on collected patient data. This study aims to systematically assess the alignment between AI-based predictions and clinical decisions for ICU admissions.
详细描述
This study has a retrospective design. The medical data of patients admitted to the emergency department and consulted to the anesthesiology and reanimation clinic for ICU indications will be collected retrospectively. Demographic information, vital signs, laboratory results, imaging findings, and clinical decisions of the patients will be recorded. These data will be systematically collected for each patient using an individual Case Report Form.
Inclusion Criteria for the Study:
Patients aged 18 years and older who were consulted to the anesthesiology and reanimation clinic for ICU indications from the emergency department will be included in the study.
Exclusion Criteria for the Study:
Patients consulted to the anesthesiology and reanimation clinic for ICU indications from inpatient services.
研究设计
- 研究类型
- Observational
- 观察模型
- Case Control
- 时间视角
- Retrospective
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Patients aged 18 years and older who are consulted to the anesthesiology and reanimation clinic for ICU indications from the emergency department will be included in the study.
排除标准
- •Patients consulted to the anesthesiology and reanimation clinic for ICU indications from inpatient services.
- •Patients consulted to the anesthesiology and reanimation clinic from the emergency department for reasons other than ICU indications.
- •Patients consulted to the anesthesiology and reanimation clinic for ICU indications from the emergency department but with insufficient recorded data (patients with data loss)
结局指标
主要结局
Accuracy rate of ChatGPT-4 in predicting ICU indications
时间窗: 3 month
False positive rate
时间窗: 3 month
False negative rate
时间窗: 3 month
次要结局
- Kappa statistic(3 month)
研究者
Aycan KURTARANGİL DOĞAN
Doctor of anesthesiology and reanimation
Bursa Yuksek Ihtisas Training and Research Hospital