Abstract: A method is provided that includes: providing data inputs to a machine learning model, where the data inputs include electronic patient data obtained from electronic records describing a health history of the patient. The method includes receiving an output from the machine learning model, where the output is generated based on the machine learning model processing the data inputs and includes identified care gaps for the patient. The method includes determining a treatment effect for each of the identified care gaps and assigning a treatment effect score to each of the identified care gaps. The method includes prioritizing the identified care gaps based on the treatment effect score assigned thereto and, based on the prioritization, determining one or more recommended patient actions for the patient. The method includes generating and transmitting an electronic communication that describes the one or more recommended patient actions for the patient.