Application of a Machine Learning Algorithm to Develop and Validate a Prediction Model for Ambulatory Non-Arrivals - Journal of General Internal Medicine

Non-arrivals to scheduled ambulatory visits are common and lead to a discontinuity of care, poor health outcomes, and increased subsequent healthcare utilization. Reducing non-arrivals is important given their association with poorer health outcomes and cost to health systems. To develop and validate a prediction model for ambulatory non-arrivals. Patients at an integrated health system who had an outpatient visit scheduled from January 1, 2020, to February 28, 2022. There were over 4.3 million ambulatory appointments from 1.2 million adult patients.