DR. PRINGLE,DR. ASHOK KUMAR B
DOI: https://doi.org/Background: Perioperative risk stratification is essential to optimize outcomes and resource allocation. Current assessments are laborious and often occur too late for optimal interventions.
Objective: To develop and validate a mobile application that efficiently calculates perioperative risk based on integrated clinical parameters for patients undergoing elective surgery.
Methods: The app stratifies patients into low, intermediate, and high-risk categories. Predictive accuracy was evaluated by comparing app risk classification with actual postoperative outcomes classified as good, moderate, or poor.
Results and Conclusion: The application demonstrated promising predictive ability across risk groups, supporting its potential to assist anesthetists in preoperative evaluation and planning. Further validation with larger cohorts is ongoing.
