Development and Implementation of a Machine Learning Model for Prediction of Surgical Case Duration

Keyphrases

• Machine Learning Models 100%
• Duration Estimation 100%
• Surgical Case 100%
• Human Factors 50%
• Service Lines 50%
• Orchestra 50%
• Scheduling Practices 50%
• Surgeons 25%
• Prediction Accuracy 25%
• Performance Improvement 25%
• Dominant Source 25%
• Safety Impact 25%
• Patient Safety 25%
• Predictive Tool 25%
• Tertiary Cancer Center 25%
• Specific Features 25%
• Resource Allocation 25%
• High Variability 25%
• Error Sources 25%
• Operational Definition 25%
• Machine Learning Based 25%
• Procedure Specific 25%
• Epic 25%
• Evaluation Metrics 25%
• Surgeon-specific 25%
• Estimation Model 25%
• Systematic Bias 25%
• Reduced Error 25%
• Large Gain 25%
• Technical Optimization 25%
• Real-time Performance 25%
• Mean Absolute Error 25%
• Boosted Trees 25%
• Operating Room Efficiency 25%
• Measurable Benefits 25%
• Human Factors Analysis 25%
• Software Configuration 25%
• Gradient Boosted Trees 25%
• Organizational Alignment 25%
• Sustainable Impact 25%
• Structured Workflow 25%
• Standardized Workflow 25%
• Model Evaluation 25%
• Estimation Tool 25%
• Variable Use 25%
• Low Accuracy 25%
• Software Parameters 25%
• Sign Error 25%
• Workflow Disruption 25%
• Workflow Standardization 25%
• Factor Investigation 25%
• Historical Epic 25%
• Workflow Redesign 25%
• Historical Average 25%
• Behavior Definition 25%
• Electronic Scheduling 25%

Medicine and Dentistry

• Surgeon 100%
• Malignant Neoplasm 50%
• Factor Analysis 50%
• Operating Room 50%
• Patient Safety 50%