Abstract: Systems include a plurality of sensors coupled to a person support apparatus, at least one moisture sensor configured to sense a moisture level between the person and the support surface, and at least one computing device coupled to the plurality of sensors coupled to the person support apparatus and the at least one moisture sensor. The at least one computing device receives data from the plurality of sensors coupled to the person support apparatus and the at least one moisture sensor, obtains data from an electronic medical record associated with the person supported by the person support apparatus, calculates a pressure injury score indicative of a likelihood that the person will develop a pressure injury based on the data from the plurality of sensors, the at least one moisture sensor, and the electronic medical record, and alters a treatment plan for the person based on the calculated pressure injury score.

Abstract: A method of determining a lifting event of a person lifting apparatus is provided. The method includes receiving one or more of (i) current load information from a current measuring device that is indicative of current drawn by an actuator operatively connected to a lifting strap of the person lifting apparatus; (ii) strap position information from a position sensor that is indicative of a paid out length of the lifting strap of the person lifting apparatus; and (iii) weight information from a weight sensor that is indicative of a load supported by the lifting strap of the person lifting apparatus. A computing device comprising a processor using logic is used to identify at least one of a raising event, a repositioning event and a lowering event based on the one or more of the current load information, strap position information and weight information.

Abstract: Apparatus for assessing medical risks of a patient includes an analytics engine and equipment that provides data to the analytics engine. The analytics engine analyzes the data from the equipment to determine a sepsis risk score, a falls risk score, and a pressure injury score. The apparatus further include displays that are communicatively coupled to the analytics engine and that display the sepsis, falls, and pressure injury risk scores. The displays include a status board display located at a master nurse station, an in-room display provided by a room station of a nurse call system, an electronic medical records (EMR) display of an EMR computer, and a mobile device display of a mobile device of a caregiver assigned to the patient.

Abstract: Apparatus for assessing medical risks of a patient includes an analytics engine and equipment that provides data to the analytics engine. The equipment includes a patient support apparatus such as a patient bed, a nurse call computer, a physiological monitor, a patient lift, a locating computer of a locating system, and an incontinence detection pad. The analytics engine analyzes the data from the equipment to determine a sepsis risk score, a falls risk score, and a pressure injury score. The apparatus further include displays that are communicatively coupled to the analytics engine and that display the sepsis, falls, and pressure injury risk scores. The displays include a status board display located at a master nurse station, an in-room display provided by a room station of a nurse call system, an electronic medical records (EMR) display of an EMR computer, and a mobile device display of a mobile device of a caregiver assigned to the patient.