Patient risk assessment based on data from multiple sources in a healthcare facility

A system for displaying one or more types of risk associated with a patient in a care facility, the system comprising:

• an analytics engine,
• one or more sources of patient data that collect data inputs for the analytics engine to calculate in substantially real time at least one of a first score relating to an early warning score, a second score relating to a risk of the patient developing sepsis, and a third score relating to a risk of the patient falling, and
• a display coupled to the analytics engine that generates a screen having:
• a first window having a scoring section that includes the first score calculated by the analytics engine, and one or more vital signs that contribute to the calculation of the first score;
• a second window indicating the risk of the patient developing sepsis based on the second score from the analytics engine;
• a third window indicating the risk of the patient falling based on the third score calculated by the analytics engine.

A system for displaying one or more types of risk associated with a patient in a care facility, the system comprising:

• an analytics engine,
• one or more sources of patient data that collect data inputs for the analytics engine to calculate in substantially real time at least one of a first score relating to an early warning score, a second score relating to a system inflammatory response syndrome, a third score relating to a quick Sepsis-Related Organ Failure Assessment, and a fourth score relating to a risk of the patient falling, and
• a display coupled to the analytics engine that generates a screen having:
• a first window having a scoring section that includes the first score calculated by the analytics engine, and one or more vital signs that contribute to the calculation of the first score;
• a second window that includes the second score;
• a third window that includes the third score;
• and
• a fourth window indicating whether a patient is likely to fall based on the fourth score calculated by the analytics engine.