System and method for generating an instruction to assist a patient

A method comprising:

• receiving, by a processor, in real-time from a sensor network, sensor data comprising at least one of motion data, occupancy data, and environmental data, wherein each piece of sensor data is associated with a time stamp;
• enriching, by the processor, the sensor data by incorporating room-specific information;
• generating, by the processor, in real time, activity pattern data by processing the enriched sensor data and medical data of the patient by using a pattern recognition model, wherein the activity pattern data comprises the activity data of the patient being indicative at least one of mobility, sleep patterns, and medication adherence, statistical measures of sensor data, temporal patterns, and correlation between the sensor data and the medical data;
• detecting, by the processor, an anomaly indicating a potential health risk, wherein the anomaly is detected by comparing the activity pattern data with a baseline activity pattern data of the patient;
• predicting, by the processor, health of the patient based on the anomaly and the activity pattern data by utilizing a prediction model, wherein the prediction model is trained on data from other patients, medical data associated with the patient, to recognize patterns that correlate with health conditions;
• generating, by the processor, patient care instructions based on the predicted health of the patient;
• and
• delivering, by the processor, the patient care instructions through a secure communication channel to at least one of a patient interface device, a caregiver mobile application, or an automated medication dispensing system.