A graphical audio station of a nurse call system is operable to permit a user to perform one or more of the following functions: establish a two-way voice communication link with another computer device in another patient and/or with a another computer device located in another staff work area and/or with a wireless communication device carried by caregiver and/or with a telephone of the healthcare facility; broadcast a voice page to a group of other selected computer devices; compose and send a text message to a portable device that is carried by a caregiver and that has wireless communication capability; browse web pages and/or view multimedia content, such as videos, hosted on servers of the healthcare facility and/or that are accessible via the Internet; view and/or acknowledge and/or answer and/or cancel alerts or nurse calls originating in a plurality of patient rooms.

A method includes: determining, by a videoconference server, a level of tolerated risk for a videoconference between a presenter and an attendee; obtaining, by the videoconference server, sensor data from at least one sensor at a location where a user device of the attendee displays the videoconference; generating, by the videoconference server, a current risk score based on the sensor data; determining, by the videoconference server, the current risk score exceeds the level of tolerated risk; and presenting, by the videoconference server and in response to the determining the current risk score exceeds the level of tolerated risk, an alert to the presenter of the videoconference.

The present disclosure may be embodied as a pillow speaker system. The pillow speaker system has a patient interface device (PID) having a processor and an audio output. A nurse call audio port is provided to communicate with a nurse call station. A detection circuit is provided to detect a nurse call signal and a provide nurse call indicator if a nurse call signal is present. The processor is programmed to receive the nurse call indicator from the detection circuit; provide a nurse call audio signal to the audio output if the nurse call indicator is received; and mute audio signals to the audio output except the nurse call audio signal.

Methods and systems for augmentative and alternative communication are disclosed. An example method can comprise receiving a candidate input, classifying the candidate input as an intentional input, and generating a signal in response to the intentional input.

A method for geo-location services is described. In one embodiment, the method includes tracking incidents that occur within a predetermined geographic area in relation to a subscription service, upon receiving a request for a list of incidents in relation to the predetermined geographic area, generating a notification comprising the requested list of incidents, and sending the notification to one or more subscribers within the predetermined geographic area.

A graphical audio station of a nurse call system is operable to permit a user to perform one or more of the following functions: establish a two-way voice communication link with another computer device in another patient and/or with a another computer device located in another staff work area and/or with a wireless communication device carried by caregiver and/or with a telephone of the healthcare facility; broadcast a voice page to a group of other selected computer devices; compose and send a text message to a portable device that is carried by a caregiver and that has wireless communication capability; browse web pages and/or view multimedia content, such as videos, hosted on servers of the healthcare facility and/or that are accessible via the Internet; view and/or acknowledge and/or answer and/or cancel alerts or nurse calls originating in a plurality of patient rooms.

A system and a method are disclosed for predicting potential reach of an alert to a targeted audience, targeted personal delivery devices and targeted non-personal notification delivery devices in an emergency mass notification system. The system and method optimize alert deliveries based on the predicted reach.

In some examples, a method includes receiving, first notification data from a first application and second notification data from a second application. The method may include generating, based at least in part on comparing the first notification data to the second notification data, an affinity score that indicates whether content from the first notification data has a relationship to at least a portion of content from the second notification data. The method may include, generating a bundle notification graphical element that includes at least a portion of the content from the first notification data and a graphical indicator that indicates the content from the first and second notification data are related. The method may include outputting a set of notification graphical elements comprising the bundle notification graphical element accompanied by the graphical indicator.

A hospital bed is programmable with new firmware that is downloaded to the bed over a network. The firmware is downloaded to the bed automatically from a remote computer device. The remote computer device receives a message from the hospital bed which includes data regarding the version number of the bed's current firmware, and if the version number indicates that the firmware is an outdated version, the remote computer device downloads a new version of the firmware to the bed.

In some implementations, a computing device may detect that a user of the computing device intends to sleep. The computing device may cause a reminder notification to be presented on a display of the computing device that prompts the user to prepare one or more secondary devices for sleep. The computing device may obtain, for each of the one or more secondary devices, a desired state for sleep specified by the user. The computing device may cause, for each of the one or more secondary devices, a current state to change to the desired state for sleep. In some implementations, the user activities may be detected by receiving sensor data from one or more sensor devices of the computing device and identifying the user activities based on the received sensor data. In some implementations, the computing device may automatically change the current state to the desired state for sleep.