Systems and Methods for Predicting Metabolic and Bariatric Surgery Outcomes

A medical method, comprising:

• receiving, using a processor of an outcome prediction system, patient data input by a user via a web interface, the patient data including two or more of a height of the patient, a weight of the patient, a gender of the patient, an age of the patient, a medical history of the patient, a medical status of the patient, a body mass index (BMI) of the patient, an ethnicity of the patient, a medical prescription history of the patient, a medical prescription status of the patient, types of medical treatments for obesity previously received by the patient, types of medical treatments for health issues other than obesity previously received by the patient, insurance information for the patient, diet information for the patient, psychological history of the patient, and a genetic indicator of the patient;
• gathering, using the processor, historical data regarding outcomes of one or more metabolic treatments performed on a plurality of patients;
• executing, using the processor, a predictive model that predicts a first outcome for each of the one or more metabolic treatments using the received patient data and the historical data, the first outcome being a predicted outcome at a first predetermined time after the treatment;
• executing, using the processor, the predictive model that predicts a second outcome for each of the one or more metabolic treatments using the received patient data and the historical data, the second outcome being a predicted outcome at a second predetermined time after the treatment, the second predetermined time being after the first predetermined time;
• and
• causing, using the processor, the first and second predicted outcomes to be provided to the user via the web interface to assist at least one of the user and a medical professional in determining whether the treatment should be performed in the future for the patient.

A medical method, comprising:

• receiving an input indicative of a plurality of patient-specific characteristics;
• storing the input indicative of the plurality of patient-specific characteristics in a memory;
• receiving an input indicative of a plurality of different treatments that may be performed in the future for the patient and that if performed in the future for the patient would have a metabolic effect on the patient;
• storing the input indicative of the plurality of different treatments in the memory;
• executing, using a processor, a predictive model stored in the memory that predicts a risk of complications to the patient at each of one or more post-treatment time points for each the plurality of different treatments that may be performed in the future for the patient;
• and
• causing, using the processor, the predicted risks of complications at each of the one or more post-treatment time points to be provided on a display to a medical professional to assist the medical professional in determining which one or more of the different treatments should be performed in the future for the patient.