Abstract: A system for predicting patient discharge planning is disclosed. The system includes one or more memories configured to store patient data associated with a patient. One or more processors are configured to identify one or more criticality assessment parameter associated with the patient. A criticality assessment parameter is associated with health criticality of the patient. Discharge information associated with the patient is determined based on the one or more criticality assessment parameters. The discharge information is then presented.

Abstract: A system and method for monitoring multiple patients. The system includes one or more processors for receiving multiple health parameters associated with each patient and parameter values associated with the health parameters. The processors classify each patient in a clinical category of multiple clinical categories based on the health parameters. Each clinical category indicates a criticality level associated with a health condition of a patient. The processors also present health profiles of the patients based on a clinical category associated with each patient in a user interface for monitoring each patient. The health profiles indicate the parameter values associated with the health parameters. The plurality of clinical categories and the plurality of health parameters are stored in a memory.

Abstract: In one embodiment, a method of generating alerts in a patient monitoring system is provided. The method comprises steps of monitoring a physiological parameter of interest within a plurality of physiological parameters, tracking data values of the physiological parameter for each predetermined interval, determining a data range for data values of the physiological parameter, each data range comprising a first limit and a second limit, comparing the data values of the physiological parameter with the data range and generating a visual alert when the data value of the physiological parameter falls outside the data range.