Hill-rom Services, Inc.

Yuan Shi

Kirsten M Emmons

Lori Ann Zapfe

Eugene G Urrutia

Matthew Mccormick Riordan

Johannes De Bie

Chiew Yuan Chung

Craig M Meyerson

Brian Lee Lawrence

Eric D Agdeppa

Yongji Fu

Stacey A Fitzgibbons

Jotpreet Chahal

Darren S Hudgins

Susan Kayser

Karrie Browne

Ryan Terry

Jared Prickel

Automatically gathering and processing data relating to risk of patient falls. The data is analyzed to determine a level of risk each patient has for falling. Patient risk for falls is stratified and protocols are implemented to mitigate that risk. The system communicates instructions and alerts to caregivers to complete tasks or provide aid to patients. Updates to patient medical information and updates to best practices in fall risk management result in updates to patient risk stratifications. In turn, tasks and alerts are updated to reflect updates to patient risk stratifications.

Falls risk management

Systems and methods for vital sign monitors are disclosed herein. In some cases, a warning score is calculated based on first measurements of a first biological condition and second measurements of a second biological condition. In particular cases, the first measurements and the second measurements are automatically measured during the same time period. The warning score may be calculated based on an average of the first measurements and an average of the second measurements. Based on determining that the warning score is outside of a predetermined range, a clinical device may output an alert.

Vital sign monitors for inpatient medicine wards

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.

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

Growing community of inventors

Singapore, Singapore

Yuan Shi