Abstract: A method includes receiving, by a user device, a prompt associated with treatment of a patient. The method includes determining a treatment context for the treatment of the patient based on access to a back-end treatment context support system. The method includes processing the prompt in view of the treatment context using one or more trained machine learning models to generate one or more actionable recommendations. The method includes outputting the one or more actionable recommendations via at least one of the user device or an additional device associated with the user device.

Abstract: In embodiments, a system comprises a server computing device comprising a messaging platform configured to provide messaging between a plurality of different types of medical applications, a first computing device of a doctor and a second computing device of a patient or prospective patient. The first computing device comprises a doctor-focused medical application and a first chat module that integrates with the doctor-focused medical application and that enables the doctor-focused medical application to interface with the messaging platform. The second computing device comprises a patient-focused medical application and a second chat module that integrates with the patient-focused medical application and that enables the patient-focused medical application to interface with the messaging platform, wherein the patient-focused medical application has different functionality than the doctor-focused medical application.