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

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 theequipment 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 callsystem, 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.

Description

[0001] This application claims the benefit under 35 U.S.C. §119(e) of U.S. Provisional Application No. 62 / 655,385, filed April 10, 2018, the entire contents of which are incorporated herein by reference. Background technique [0002] The present disclosure relates to assessing patient risk in a healthcare setting, and in particular to assessing patient risk based on data obtained from medical devices. More specifically, the present disclosure relates to assessing and informing caregivers of various risks to patients in a healthcare facility. [0003] Patients in healthcare facilities are susceptible to several risks during their stay. For example, there is a risk of developing sepsis, of developing a pressure injury such as a pressure sore or decubitus ulcer, and of falling while getting out of bed or after getting out of bed. Patient risk assessments are typically performed on an unscheduled basis with significant time elapsed between assessments. For example, vital signs m...

AI Technical Summary

Problems solved by technology

Patient risk assessments are often performed on an unscheduled basis with significant time elapsed between assessments

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