Intelligent patient monitoring system

A pressure injury prevention system for a patient, the pressure injury prevention system comprising:

• a weight support device configured to support the patient, the weight support device comprising:
• a sensor grid layer including a plurality of sensors configured to measure a time series of pressure data;
• and
• a plurality of inflation bladders forming an automatically adjustable surface;
• a computer configured to:
• predict a pressure injury outcome based on the time series of pressure data, the pressure injury outcome including at least a prediction of risk of the patient developing a pressure injury, wherein predicting the pressure injury outcome comprises:
• determining a time series of poses of the patient using a first machine learning model trained to receive the time series of the pressure data as input and to output the time series of poses of the patient, the time series of poses comprising a time series of side labels, a time series of joint locations, and movement over time, and
• determining a risk of the patient developing the pressure injury using a second machine learning model trained to receive the time series of poses of the patient determined using the first machine learning model and the time series of pressure data, wherein training samples for training the second machine learning model comprise historical data of individuals who have developed a pressure injury;
• determine an instruction to adjust the automatically adjustable surface based on the pressure injury outcome predicted using the first and second machine learning models;
• and
• provide the instruction to the weight support device,
• wherein the plurality of inflation bladders of the weight support device are configured to adjust the automatically adjustable surface responsive to the instruction;
• and
• a display configured to present a notification generated based on the pressure injury outcome, the notification indicating that an adjustment of a positioning of the patient is needed.