Abstract: An example device is configured to capture an image of a patient. The devices includes a camera configured to capture the image of the patient. The device further: captures contextual data associated with the image; allows a caregiver to select the image to be stored; forwards the image and the contextual data to a remote server for processing using artificial intelligence; and receives a proposed diagnosis from the remote server based upon the image and the contextual data.

Abstract: A method for monitoring a patient includes detecting a personal device of the patient, sending an invitation to connect to the personal device, and receiving health data from the personal device when the invitation is accepted. The method further includes determining stabilized values for one or more physiological variables of the patient based on the health data, and adjusting one or more alarm settings based on the stabilized values.

Abstract: A device for monitoring a patient displays a nuisance button on a display device, receives clinician feedback from a selection of the nuisance button, and pauses an active alarm in response to the clinician feedback. The device identifies one or more alarm settings responsible for the clinician feedback and adjusts the one or more alarm settings based on the clinician feedback. The device records the clinician feedback in a device usage log for monitoring usage of the nuisance button. The device generates an alarm notification based on the active alarm, and classifies the alarm notification into a first group in which the alarm notification is a push notification or a second group in which the alarm notification is a pull notification.

Abstract: A device for monitoring a patient determines a set of predicted physiological variables using a model trained from physiological variables collected from the patient. The device receives a set of measured physiological variables and a motion measurement. The device compares the set of measured physiological variables to the set of predicted physiological variables to determine a residual vector. The device classifies the residual vector using a vector motion error based on the motion measurement, and performs an action based on the classification of the residual vector.

Abstract: A patient monitoring device initiates an interval mode that includes measuring blood pressure at predetermined intervals over a predetermined period of time. The device takes a first blood pressure measurement at one of the predetermined intervals, and determines whether the first blood pressure measurement is abnormal. The device takes a second blood pressure measurement after a predetermined delay when the first blood pressure measurement is determined abnormal. The device compares the first and second blood pressure measurements to confirm whether the first blood pressure measurement is abnormal. The device triggers an alarm when the first blood pressure measurement is confirmed as abnormal.

Abstract: A device for monitoring a physiological variable determines a starting value for a self-adjusting alarm limit based on an abnormal state of the physiological variable. The device determines a new value for the self-adjusting alarm limit from physiological data values received during a time window. When the new value for the self-adjusting alarm limit moves in a targeted direction, the device resets the self-adjusting alarm limit at the new value.

Abstract: An example method includes identifying at least one first parameter of a patient detected during a time interval and identifying a second parameter of the patient detected during the time interval. A position of the individual during the time interval is determined based on the second parameter. Based on determining that the position of the patient is substantially unchanged during the time interval, the example further includes transmitting data identifying the patient and indicating the at least one first parameter to an electronic medical record (EMR) system.

Abstract: A stroke scale system includes a patient support apparatus having one or more pressure sensors that can be grasped by a patient, one or more motion detectors that detect movements of the patient, a display unit, an audio unit; and a controller. The stroke scale system performs a series of stroke scale examinations. At least one stroke scale examination instructs the patient to grasp a portion of the patient support apparatus, and the pressure sensors determine compliance with the instructions by measuring an applied pressure to the portion of the patient support apparatus. The stroke scale system calculates a stroke scale score by combining scores determined from the series of stroke scale examinations.

Abstract: An example device is configured to capture an image of a patient. The devices includes a camera configured to capture the image of the patient. The device further: captures contextual data associated with the image; allows a caregiver to select the image to be stored; forwards the image and the contextual data to a remote server for processing using artificial intelligence; and receives a proposed diagnosis from the remote server based upon the image and the contextual data.