Systems and methods for disease control and management

A non-transitory computer-readable storage medium for storing instructions that, when executed by one or more processors, perform a method for providing personalized notifications using an adaptive analytical behavioral health assistant system, the method comprising:

• obtaining, using a physical biometric measurement device of the health assistant system, biometric measurements from a user, the physical biometric measurement device being selected from one or more of a scale, an external blood pressure monitor, a cardiac data sensor, an implantable blood glucose sensor for continuous sensing, an external blood glucose monitor, a blood pressure measuring device for measuring blood pressure measurements of the user, or a weight measuring device for measuring weight measurements of the user;
• transmitting, from the physical biometric measurement device, the obtained biometric measurements;
• receiving, using a receiver of a disease management server of the health assistant system, the biometric measurements transmitted from the physical biometric measurement device;
• generating, using one or more processors of the disease management server, a user specific model of a physiological system of the user, by modifying a basic model of a physiological system generic to any user using at least physiological data of the user and a plurality of parameters including an insulin intake, a time of insulin intake, a glucose level, a time of measurement of glucose level, physical activity of the user, and a time of physical activity of the user;
• executing, using the one or more processors, the user specific model to generate one or more instructions, as part of a treatment recommendation, relating to adjusting a dose of insulin and to generate personalized notifications, which comprise the treatment recommendation further based on the physiological data of the user, the personalized notifications being based at least on the modified basic model and the received biometric measurements of the user;
• and
• outputting, from the disease management server to the physical biometric measurement device, using the one or more processors of the disease management server, and from the physical biometric measurement device to the user, the personalized notifications, the personalized notifications including the one more instructions relating to adjusting the dose of insulin, to at least the physical biometric measurement device, by modifying an internal signal of the physical biometric measurement device to output the personalized notifications to the user, such that the outputted personalized notifications are formatted and provided to the user over a network when they are received at the physical biometric measurement device.

A non-transitory computer-readable storage medium for storing instructions that, when executed by one or more processors, perform a method for providing personalized notifications using an adaptive analytical behavioral health assistant system, the method comprising:

• obtaining, using a physical biometric measurement device of the health assistant system, biometric measurements from a user, the physical biometric measurement device being selected from one or more of a scale, an external blood pressure monitor, a cardiac data sensor, an implantable blood glucose sensor for continuous sensing, an external blood glucose monitor, a blood pressure measuring device for measuring blood pressure measurements of the user, or a weight measuring device for measuring weight measurements of the user;
• transmitting, from the physical biometric measurement device, the obtained biometric measurements;
• receiving, using a receiver of a disease management server of the health assistant system, the biometric measurements transmitted from the physical biometric measurement device;
• generating, using one or more processors of the disease management server, a user specific model of a physiological system of the user, by modifying a basic model of a physiological system generic to any user using at least physiological data of the user and a plurality of parameters including an insulin intake, a time of insulin intake, a glucose level, a time of measurement of glucose level, physical activity of the user, and a time of physical activity of the user;
• executing, using the one or more processors, the user specific model to generate one or more instructions, as part of a treatment recommendation, relating to adjusting one or both of a time and a dose of insulin and to generate personalized notifications, which comprise the treatment recommendation further based on the physiological data of the user, the personalized notifications being based at least on the modified basic model and the received biometric measurements of the user;
• and
• outputting, from the disease management server to the physical biometric measurement device, using the one or more processors of the disease management server, and from the physical biometric measurement device to the user, the personalized notifications, the personalized notifications including the one more instructions relating to adjusting the one or both of the time and the dose of insulin, to at least the physical biometric measurement device, by modifying an internal signal of the physical biometric measurement device to output the personalized notifications to the user, such that the outputted personalized notifications are formatted and provided to the user over a network when they are received at the physical biometric measurement device.