Published this week in Annals of Family Medicine, the study analyzed more than 1.1 million appointments from 15 family medicine clinics across Pennsylvania between 2019 and 2023. Researchers developed and tested four ML models using integrated clinical, socioeconomic and environmental data to classify appointments as completed, no-show or late cancellation.