The Success of ChatGPT in Providing American Society of Anesthesiologist (ASA) Scores
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 2,851
- 试验地点
- 1
- 主要终点
- The Success of ChatGPT in Providing American Society of Anesthesiologist (ASA) Scores
研究概览
简要总结
Patients applied to the anesthesia clinics of Health Science University Istanbul Kanuni Sultan Suleyman Training and Research Hospital and Basaksehir Cam and Sakura City Hospital were included in the study. Evaluation forms which will be filled in every preoperative examinations will be saved in the hospitals systems. Patients datas without indentification informations will be asked to ChatGpt to give anesthesiological risc scores. This scores will be compared with the scores already given by anesthesiologists.
详细描述
Patients of all ages and sexes with ASA scores ranging from I to IV who applied to the anesthesia clinics of Health Science University Istanbul Kanuni Sultan Suleyman Training and Research Hospital and Basaksehir Cam and Sakura City Hospital were included in the study. Patients with ASA scores of V and VI were not included in the study as their statistical distribution would be disrupted.
Data Collection Data were collected daily from preoperative examination evaluation forms in this study, which included Patient's Age Patient's Gender Patient's Weight Patient's Height Additional Illnesses Medications Used Abnormal Laboratory Findings Abnormal Imaging Findings Operation to be Performed Consultation Notes Given ASA Score ChatGPT's ASA Score. At Health Science University Istanbul Kanuni Sultan Suleyman Training and Research Hospita, the patient will be under the care of Specialist Doctor Engin İhsan Turan, and at Basaksehir Cam and Sakura City Hospital, under the care of Specialist Doctor Abdurrahman Engin Baydemir.
The natural language processing module ChatGPT 4, developed by OpenAI, was consulted for providing ASA scores based on the collected data. In addition to the collected data, ASA scores given by anesthesia experts were also entered into the system.
The investigators chose ChatGPT-4 among artificial intelligence models for our study due to its extensive use in the literature.
Primary Objective: To evaluate the success of ChatGPT-4 in predicting postoperative intensive care needs and mortality in adult patients with ASA scores of III and IV. Secondary Objectives: To examine the effectiveness of ChatGPT-4's recommendations on anesthesia methods and additional suggestions in the clinical decision-making process.
研究设计
- 研究类型
- Observational
- 观察模型
- Case Only
- 时间视角
- Prospective
入排标准
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Patient who admitted to anesthesia clinics for both hospital
- •Patient with ASA scores between I-IV
排除标准
- •ASA scores higher than IV
- •Emergency cases patients have symptoms like upper and lower airway infections.
- •patients haven't got enough informations to provide ASA scores.
- •Patients with symptoms of an active upper or lower respiratory tract infection
结局指标
主要结局
The Success of ChatGPT in Providing American Society of Anesthesiologist (ASA) Scores
时间窗: 2 weeks
Comparison of ASA scores provided from ChatGpt and provided from anesthesiologists. ASA 1: A normal healthy patient. ASA 2: A patient with mild systemic disease. ASA 3: A patient with severe systemic disease that is not incapacitating. ASA 4: A patient with severe systemic disease that is a constant threat to life. ASA 5: A moribund patient who is not expected to survive without the operation. ASA 6: A declared brain-dead patient whose organs are being removed for donor purposes. Additional classifications include: E: This designation can be added to any of the above classifications (ASA 1E to ASA 6E) to indicate that the surgery is an emergency, which increases the risk of the procedure.
次要结局
- The Success of ChatGPT in clinical decisions(2 weeks)
研究者
Engin Ihsan Turan
anesthesiology and reanimation specialist
Kanuni Sultan Suleyman Training and Research Hospital