Abstract: This disclosure is directed towards a patient management system for anticipating patient needs associated with toileting. In some examples, a computing device of the patient management system determines a toilet need schedule for a patient based on conditions of the patient (e.g., from an electronic medical record of the patient) and/or events that occur associated with the patient, such as meals or beverages consumed, toileting events, medications taken, and so forth. Additionally, the patient management system may sense when a patient is moving towards a patient relief device, when the patient is using the patient relief device, and/or when the patient has concluded using the patient relief device. Such information may be provided to a healthcare provider so that the healthcare provider may assist with toileting needs to increase safety of the patient and/or to reduce accidents associated with toileting needs of the patient.

Abstract: ice control of medical devices in a healthcare facility are disclosed herein. The systems employ continuous speech processing software, voice recognition software, natural language processing software, and other software to permit voice control of the medical devices. Systems are also provided for distinguishing which medical device from among multiple medical devices in a patient room is the particular medical device to be controlled by voice input from a caregiver or a patient.

Abstract: A patient support apparatus comprises a plurality of load cells, a frame supported on the load cells, a mattress, a vibration sensor, and a control system. The mattress includes a plurality of inflatable zones positioned on the frame, the mattress and frame cooperating to direct any patient load through the mattress and frame to the load cells. The control system includes a controller operable to receive a separate signal from each of the plurality of load cells and the vibration sensor and process the signals to identify motion of the patient.

Abstract: Systems for voice control of medical devices in a healthcare facility are disclosed herein. The systems employ continuous speech processing software, voice recognition software, natural language processing software, and other software to permit voice control of the medical devices. Systems are also provided for distinguishing which medical device from among multiple medical devices in a patient room is the particular medical device to be controlled by voice input from a caregiver or a patient.

Abstract: A compute device may include circuitry configured to obtain patient state data that may be indicative of a heart rate of the patient or a respiration rate of the patient. The circuitry may also be configured to obtain patient medication data indicative of a schedule for administration of pain medication to the patient. Further, the circuitry may be configured to determine whether a trend in the patient state data satisfies a predefined condition, determine whether the patient medication data indicates that the patient is due for administration of pain medication within a predefined time period, determine, in response to a determination that the trend in the patient state data satisfies the predefined condition and a determination that the patient is due for administration of pain medication within the predefined time period, that the patient is experiencing pain, and produce an alert signal that the patient is in pain.

Abstract: A patient support apparatus comprises a plurality of load cells, a frame supported on the load cells, a mattress, a plurality of air pressure sensors, and a control system. The mattress includes a plurality of inflatable zones positioned on the frame, the mattress and frame cooperating to direct any patient load through the mattress and frame to the load cells. Each of the plurality of air pressure sensors measures the pressure in a respective inflatable zone of the mattress. The control system includes a controller operable to receive a separate signal from each of the plurality of load cells and each of the plurality of air pressure sensors and process the signals to identify movement data and communicate the movement data to a caregiver.

Abstract: A patient support apparatus comprises a plurality of load cells, a frame supported on the load cells, a mattress, a vibration sensor, and a control system. The mattress includes a plurality of inflatable zones positioned on the frame, the mattress and frame cooperating to direct any patient load through the mattress and frame to the load cells. The control system includes a controller operable to receive a separate signal from each of the plurality of load cells and the vibration sensor and process the signals to identify motion of the patient.

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: A patient support apparatus comprises a plurality of load cells, a frame supported on the load cells, a mattress, a plurality of air pressure sensors, and a control system. The mattress includes a plurality of inflatable zones positioned on the frame, the mattress and frame cooperating to direct any patient load through the mattress and frame to the load cells. Each of the plurality of air pressure sensors measures the pressure in a respective inflatable zone of the mattress. The control system includes a controller operable to receive a separate signal from each of the plurality of load cells and each of the plurality of air pressure sensors and process the signals to identify motion of the patient. A motion classifier assesses major and minor motions based on the amplitude and frequency of patient movement and determines a mobility score for the patient.

Abstract: An example method includes receiving a 2D image of a 3D space from an optical camera, identifying, in the 2D image. A virtual image generated by an optical instrument refracting and/or reflecting the light is identified. The example method further includes identifying, in the 2D image, a first object depicting a subject disposed in the 3D space from a first direction extending from the optical camera to the subject and identifying, in the virtual image, a second object depicting the subject disposed in the 3D space from a second direction extending from the optical camera to the subject via the optical instrument, the second direction being different than the first direction. A 3D image depicting the subject based on the first object and the second object is generated. Alternatively, a location of the subject in the 3D space is determined based on the first object and the second object.

Abstract: Various techniques for determining risks to patients and care providers based on images are described herein. According to some examples, images of an individual in a clinical setting are identified. A risk that the individual will experience an adverse event, such as an injury, is calculated. An alert or report is output based on the risk.

Abstract: An example method includes outputting, by an output device, a first Graphical User Interface (GUI) associated with a patient. A font size of the first GUI is adjusted based on a position of the patient. Based on determining that a position of a care provider is within the threshold distance of the output device or within the room associated with the patient, outputting, by the output device, the second GUI being different than the first GUI.

Abstract: Technologies for performing dynamic alert management to reduce caregiver fatigue may include a compute device. The compute device may include circuitry configured to receive alert data from a patient monitor device, to be provided to one or more caregivers in an alert. The circuitry may additionally be configured to determine whether alert suppression criteria indicative of one or more factors associated with alert-related fatigue is satisfied based on the received alert data. Additionally, the circuitry may be configured to suppress, in response to a determination that the alert suppression criteria is satisfied, the alert.

Abstract: This disclosure is directed towards a patient management system for anticipating patient needs associated with toileting. In some examples, a computing device of the patient management system determines a toilet need schedule for a patient based on conditions of the patient (e.g., from an electronic medical record of the patient) and/or events that occur associated with the patient, such as meals or beverages consumed, toileting events, medications taken, and so forth. Additionally, the patient management system may sense when a patient is moving towards a patient relief device, when the patient is using the patient relief device, and/or when the patient has concluded using the patient relief device. Such information may be provided to a healthcare provider so that the healthcare provider may assist with toileting needs to increase safety of the patient and/or to reduce accidents associated with toileting needs of the patient.

Abstract: Various techniques for assisting care providers with workflows and handoffs are described. An example method includes identifying patient data that includes message data, electronic medical record (EMR) data, and sensor data. The message data includes at least one text, audio, or video message about a patient. The EMR data includes at least a portion of an EMR of the patient. The sensor data includes at least one image the patient detected by a camera mounted on a hospital bed on which the patient is supported. The example method further includes determining, based on the patient data, a condition of the patient and a task associated with the patient. A report including the condition of the patient and the task is generated and transmitted to a computing device associated with the care provider.

Abstract: A mobility management system receives movement data from sensors that detect movements of a patient resting in a patient support apparatus and movement data from one or more mobility detection devices that detect movement of the patient when the patient exits the patient support apparatus. The system determines a mobility status based on at least the movement data received from the patient support apparatus and the one or more mobility detection devices, and adjusts a care protocol for the patient based on the mobility status.

Abstract: Systems for voice control of medical devices in a healthcare facility are disclosed herein. The systems employ continuous speech processing software, voice recognition software, natural language processing software, and other software to permit voice control of the medical devices. Systems are also provided for distinguishing which medical device from among multiple medical devices in a patient room is the particular medical device to be controlled by voice input from a caregiver or a patient.

Abstract: Various systems, devices, and methods for predicting and identifying root causes of pressure injuries in a clinical environment are described. An example method includes identifying, based on an electronic medical record (EMR) of a patient, that the patient has an injury; receiving, from one or more sensors, sensor data indicating one or more parameters of the patient; determining, based on the sensor data, at least one root cause of the injury; and transmitting, to an external computing device, a report indicating the at least one root cause of the injury.

Abstract: The present invention is directed in general to imaging technologies and more particularly to medical imaging and picture archiving and communication systems (PACS) having an image display wherein system features and functions are provided to a user via active overlays located over displayed images. A system and method are provided to imbed an ability to interact with an image by activating traditional annotations that are displayed in conjunction with an image in a PACS. Users are able to access program functionalities in an improved, quicker, accurate and more intuitive means. More specifically, the present invention relates to providing the capability to customize multiple context menus, and flatten the command hierarchy of an imaging system. The present invention also provides the ability to “overload” current text and graphic annotations that are already displayed within an image of interest.

Abstract: The present invention is directed in general to imaging technologies and more particularly to medical imaging and picture archiving and communication systems (PACS) having an image display wherein system features and functions are provided to a user via active overlays located over displayed images. A system and method are provided to imbed an ability to interact with an image by activating traditional annotations that are displayed in conjunction with an image in a PACS. Users are able to access program functionalities in an improved, quicker, accurate and more intuitive means. More specifically, the present invention relates to providing the capability to customize multiple context menus, and flatten the command hierarchy of an imaging system. The present invention also provides the ability to “overload” current text and graphic annotations that are already displayed within an image of interest.