Predictive Analytics Model for Forecasting Digital Patient Portal Message Volume Using Disease Seasonality, Appointment Density, Medication Changes, Prior Communication Behavior, and Clinic Workload Trends

cirpublications.com-r7NK-1790883434-e788246847 1790883434 Clinical Intelligence Research Press info@cirpublications.com Clinical Intelligence Research Press Journal of Health Informatics and Digital Systems J. Health Inform. Digit. Syst. 3149-8973 2026 6 1 Predictive Analytics Model for Forecasting Digital Patient Portal Message Volume Using Disease Seasonality, Appointment Density, Medication Changes, Prior Communication Behavior, and Clinic Workload Trends Ahmed Al-Sayed Omar Khalifa 2026 10.68159/e788246847 https://cirpublications.com/pub/journal/2/article/e788246847 Martinez KA, Schulte R, Rothberg MB, Tang MC, Pfoh ER. Patient portal message volume and time spent on the EHR: An observational study of primary care clinicians. J Gen Intern Med. 2024;39(4):566–72. Nath B, Williams B, Jeffery MM, O’Connell R, Goldstein R, Sinsky CA, et al. Trends in electronic health record inbox messaging during the COVID-19 pandemic in an ambulatory practice network in New England. 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