Evaluation of ChatGPT-5 and Anesthesiologist Predictions of Postoperative Intensive Care Unit Admission Using Preoperative Clinical Data
Evaluation of the Agreement Between ChatGPT-5 and Anesthesiologists' Predictions and Actual Outcomes in Predicting Postoperative Intensive Care Unit Requirement Based on Preoperative Data
Accurate prediction of postoperative intensive care unit (ICU) requirement is essential for patient safety and efficient use of limited ICU resources. In routine clinical practice, decisions regarding postoperative ICU admission are primarily based on anesthesiologists' preoperative clinical judgment, which may vary among clinicians.
This prospective, observational study aims to evaluate the agreement between predictions made by ChatGPT-5(Chat Generative Pre-trained Transformer) and anesthesiologists regarding postoperative ICU requirement using routinely collected preoperative patient data, and to compare these predictions with actual postoperative ICU admission outcomes.
The study does not involve any intervention, treatment modification, or additional procedures beyond standard clinical care. All patient data are anonymized, and clinical management is not influenced by the model's predictions
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Postoperative intensive care unit (ICU) admission is a critical component of perioperative patient management, particularly in patients with increased surgical or anesthetic risk. Accurate preoperative identification of patients who will require postoperative ICU care may improve patient safety and optimize resource allocation.
This study is designed as a prospective, non-interventional observational cohort study conducted in adult patients undergoing elective surgical procedures. Routinely collected preoperative clinical data, including demographic characteristics, comorbidities, laboratory results, and anesthesiologists' assessments, are recorded for each participant.
For each patient, postoperative ICU requirement predictions generated by ChatGPT-5 using structured preoperative data are documented. These predictions are compared with anesthesiologists' preoperative ICU admission assessments and with actual postoperative ICU admission outcomes.
No additional diagnostic or therapeutic interventions are performed as part of the study. Patient care follows standard institutional practice at all times. All collected data are anonymized prior to analysis. Statistical analyses focus on agreement and predictive performance measures, including sensitivity, specificity, and concordance between prediction methods and actual outcomes.
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Locations
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Antalya, Turkey (Türkiye)
- Antalya City Hospital
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-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Adult patients aged 18 years or older.
- Patients undergoing elective surgical procedures requiring preoperative anesthesiology evaluation.
- Availability of complete preoperative clinical data required for postoperative intensive care unit (ICU) need prediction.
- Patients evaluated preoperatively by an anesthesiology specialist.
Exclusion Criteria:
- Patients younger than 18 years of age.
- Emergency surgical procedures.
- Patients with incomplete or missing preoperative clinical data.
- Patients who decline the use of their clinical data for research purposes.
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Agreement Between Predicted and Actual Postoperative ICU Requirement
Time Frame: Within the first 24 hours after surgery
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Agreement between preoperative predictions of postoperative intensive care unit (ICU) requirement made by ChatGPT-5 and anesthesiologists, compared with actual postoperative ICU admission outcomes.
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Within the first 24 hours after surgery
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Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Beste Mutlu Dağlıoğlu, Antalya City Hospital
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- AntalyaCity
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated device product
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