Abstract: A system for monitoring sepsis in a healthcare facility. The system calculates sepsis scores for a patient using physiological parameter data captured by one or more sensors. The system generates a sepsis score trend based on the sepsis scores, and generates a predicted sepsis trend based on the sepsis scores and a treatment administered to the patient. The system displays the predicted sepsis trend over the sepsis score trend. The system can further display a summary including a sepsis status and a treatment status for a plurality of patients in the healthcare facility.

Abstract: A vital signs monitor for detecting sepsis in a patient includes a housing. At least one vital sign sensor is coupled to the housing and is configured to obtain at least one vital sign from a patient. A display is positioned on an outer surface of the housing. A controller is embedded in the housing and is operable to receive a vital sign signal from the at least one vital sign sensor.

Abstract: 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.

Abstract: A monitoring system for a patient fall risk protocol includes a support apparatus that includes a sensor configured to sense a position of a patient. A control unit is in communication with the sensor. The control unit is configured to monitor the position of the patient relative to a monitoring area on the support apparatus. The control unit is configured to determine a preliminary risk evaluation. A controller is in communication with the support apparatus. The controller is configured to receive the preliminary risk evaluation from the support apparatus and adjust a monitoring level of the monitoring area in response to the preliminary risk evaluation.

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.

Abstract: A sepsis monitoring system determines an initial sepsis risk assessment score, and automatically and continuously updates the sepsis risk assessment score using a sepsis risk assessment model that receives vital signs data, electronic medical records data, and admissions data to continuously update the sepsis risk assessment score. The system determines whether the patient is likely to develop sepsis based on the updated sepsis risk assessment score, and in response to determining that the patient is likely to develop sepsis, generates a notification to drive an early intervention by one or more caregivers.

Abstract: A fall reporting system gathers, extracts, and compiles data from multiple electronic sources to generate reports regarding patient falls. Individual patient investigation reports are automatically generated when a device detects a patient fall. Additionally, the system can aggregate data from multiple patients to provide facility investigation reports for a unit, department, or entire healthcare facility. Reports can be customized to filter and visualize falls-related data. The system can be cloud based or part of a local area network. The system accessible via a webportal that provides a single sign-on configuration application.

Abstract: 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.

Abstract: A sepsis automated reporting system generate a sepsis report that is accessible on one or more workstations. The sepsis report includes a display area that is customizable based on a selection of one or more parameters in a parameter configuration box. The customizable display area and the parameter configuration box are both displayed in the sepsis report, and the display area is automatically updated based on the selection of the one or more parameters.

Abstract: An example system for estimating a likelihood of a fall for a patient includes: at least one processor; and memory encoding instructions which, when executed by the at least one processor, cause the at least one processor to: access first data associated with acute action of and environment for the patient; access second data associated with attributes of the patient over time; calculate a composite fall score based upon the first data and the second data.

Abstract: An example system for estimating an injury risk relating to a fall for a patient can include: at least one processor; and memory encoding instructions which, when executed by the at least one processor, cause the at least one processor to: access first data associated with an estimated likelihood of a fall for the patient; access second data associated with an estimated severity of a fall for the patient; and calculate a score based upon the first data and the second data.

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.