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Prospective Validation of an Artificial Intelligence Tool for Pre-Anesthetic Assessment
Sponsor: Hospital Nossa Senhora da Conceicao
Summary
This prospective observational cohort study aims to validate an artificial intelligence (AI) tool designed for pre-anesthetic assessment in Portuguese, tailored to the Brazilian healthcare context. Conducted at a single tertiary hospital, the study will enroll 270 adult patients (aged \>18 years) scheduled for elective non-cardiac surgeries. Participants will use the AI tool to complete a self-assessment, generating general patient guidance and a detailed medical evaluation (the latter withheld from the anesthesiologist). A standard pre-anesthetic evaluation will then be performed by an anesthesiologist blinded to the AI results. A third blinded anesthesiologist will compare the assessments for accuracy, consistency, and risk identification (e.g., ASA classification and perioperative risk models). Primary outcome is concordance between AI and human assessments using Cohen's Kappa. Secondary outcomes include anesthesiologist perceptions of the tool's utility, impact on assessment quality, and patient usability challenges. The study poses minimal risks, with data collected over 24 months, and aims to enhance perioperative safety and efficiency in Brazil.
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
270
Start Date
2026-03-01
Completion Date
2028-06-30
Last Updated
2025-12-18
Healthy Volunteers
No
Conditions
Interventions
AI-based pre-anesthetic assessment
Patients use an artificial intelligence (AI) tool based on a Large Language Model (LLM) in Portuguese to complete a pre-anesthetic self-assessment. The tool collects patient information and generates two outputs: Generic Orientations: General instructions sent directly to the patient to aid in surgical preparation. Specific Assessment: A detailed evaluation, including recommendations and warning signs for medical use, which is not shared with the anesthesiologist performing the traditional evaluation.
Anesthesiologist-led pre-anesthetic evaluation
Each patient undergoes a standard pre-anesthetic evaluation conducted by an anesthesiologist, following routine clinical practice at both institutions. This evaluation is performed without access to the AI tool's results to ensure blinding. Purpose: To serve as the comparator for the AI-based assessment, allowing evaluation of concordance in risk assessment, quality of information collected, and clinical judgment. Details: The anesthesiologist conducts a clinical interview and review of medical records, assessing factors such as the American Society of Anesthesiologists (ASA) classification, perioperative risk models (for instance, Ex-Care model), and potential complications.
Locations (1)
Hospital Nossa Senhora da Conceição (Grupo Hospitalar Conceição)
Porto Alegre, Rio Grande do Sul, Brazil