Abstract: Implementations provide methods including actions of processing patient data to generate one or more graphical representations of the patient data, at least one graphical representation of the one or more graphical representations including a waveform, displaying at least one waveform segment of the waveform, and displaying calipers associated with the at least one waveform segment, each caliper being associated with an interval, where displaying the calipers includes, for each caliper: receiving a measurement value of the interval associated with the caliper, determining respective positions of a first handle and a second handle of the caliper based on the measurement, and displaying the first handle and the second handle in the respective positions relative to the at least one waveform segment.

Abstract: Implementations provide methods including actions of processing patient data to generate one or more graphical representations of the patient data, at least one graphical representation of the one or more graphical representations including a waveform, displaying at least one waveform segment of the waveform, and displaying calipers associated with the at least one waveform segment, each caliper being associated with an interval, where displaying the calipers includes, for each caliper: receiving a measurement value of the interval associated with the caliper, determining respective positions of a first handle and a second handle of the caliper based on the measurement, and displaying the first handle and the second handle in the respective positions relative to the at least one waveform segment.

Abstract: Implementations provide a user of a mobile device access to patient information and patient physiological data. Actions can include receiving a user request, the user request being received in response to user input to the mobile device, determining that the user request is associated with patient data and/or patient information stored in a plurality of data stores associated with a plurality of facility systems, each data store in the plurality of data stores being associated with a respective facility system, transmitting a plurality of requests, each request being directed to a respective facility system, receiving a plurality of responses, each response being responsive to a respective request of the plurality of requests, and transmitting a response to the mobile device, the response being responsive to the user request.

Abstract: Implementations of the present disclosure are generally directed to receiving, a plurality of items of digital content from one or more data sources associated with a user, providing a plurality of clusters of digital content, each cluster including one or more items of digital content of the plurality of items of digital content, for a cluster: determining a goodness measure for each item of digital content within the cluster, the goodness measure being at least partially based on metadata associated with a respective item of digital content, and selecting at least one item of digital content from the cluster for inclusion in the media presentation, and providing the media presentation for display on a computing device of the user, the media presentation including the at least one item of digital content.

Abstract: Implementations of the present disclosure are generally directed to receiving, a plurality of items of digital content from one or more data sources associated with a user, providing a plurality of clusters of digital content, each cluster including one or more items of digital content of the plurality of items of digital content, for a cluster: determining a goodness measure for each item of digital content within the cluster, the goodness measure being at least partially based on metadata associated with a respective item of digital content, and selecting at least one item of digital content from the cluster for inclusion in the media presentation, and providing the media presentation for display on a computing device of the user, the media presentation including the at least one item of digital content.

Abstract: Implementations of the present disclosure are generally directed to receiving, a plurality of items of digital content from one or more data sources associated with a user, providing a plurality of clusters of digital content, each cluster including one or more items of digital content of the plurality of items of digital content, for a cluster: determining a goodness measure for each item of digital content within the cluster, the goodness measure being at least partially based on metadata associated with a respective item of digital content, and selecting at least one item of digital content from the cluster for inclusion in the media presentation, and providing the media presentation for display on a computing device of the user, the media presentation including the at least one item of digital content.

Abstract: Techniques are described for generating graphs that describe relationships between tags included in items published on a network, and for analyzing the graphs to develop a model that describes the changes in relationships between tags over time. Implementations provide an analysis platform in which published items are analyzed, using machine learning-trained model(s), to model and predict relationships between tags and/or changes in the strength and presence of the relationships between tags. The relationships between tags can be used to generate one or more graphs. Through graph-based modeling of the manner in which correlated pairs of tags change in the strength of their correlation (e.g., their relationship strength) over time, implementations can generate predictions regarding how a correlation between tags is likely to change in the future, and can also generate recommendations regarding how a particular correlation may be maintained over time.

Abstract: Techniques are described for predicting location information and/or other characteristics of an author of item(s) published on a network, based on one or more tags (e.g., hashtags) that are included in the published item(s). Published items that are geotagged with location information are used to train, using machine learning techniques, a model that predicts the location of the author of non-geotagged item(s) based on the tag(s) included in the non-geotagged item(s). Model(s) may also be trained to predict other characteristics of authors of items. Implementations predict the location, and/or other characteristics, of individuals on networks (e.g., social networks) in instances where location and/or other characteristics are not otherwise known, thus enabling more effective targeting of individuals for marketing, advertising campaigns, and/or other types of influence application that may be performed on the network.

Abstract: Implementations are directed to providing a user of a mobile device access to patient information and patient physiological data. Actions can include receiving user input, the user input indicating a user command to display a monitoring screen for a particular patient, processing patient-specific data and event data to provide one or more event summaries, each event summary including a graphical representation of an event based on the patient-specific data, and displaying the monitoring screen on the mobile device, the monitoring screen including the one or more event summaries, each event summary including at least a portion of patient-specific data displayed as a waveform associated with an event.

Abstract: Implementations are directed to providing a user of a mobile device access to patient information and patient physiological data. Actions can include receiving user input, the user input indicating a user command to display a laboratory results screen for a particular patient, processing patient-specific data and lab results data to provide one or more tables, and displaying the laboratory results screen on the mobile device, the laboratory results screen including the one or more tables, each table of the one or more tables providing one or more discrete data values, wherein a discrete data value of the one or more discrete values is user-selectable to provide detailed result information.

Abstract: Implementations of the present disclosure are generally directed to receiving, a plurality of items of digital content from one or more data sources associated with a user, providing a plurality of clusters of digital content, each cluster including one or more items of digital content of the plurality of items of digital content, for a cluster: determining a goodness measure for each item of digital content within the cluster, the goodness measure being at least partially based on metadata associated with a respective item of digital content, and selecting at least one item of digital content from the cluster for inclusion in the media presentation, and providing the media presentation for display on a computing device of the user, the media presentation including the at least one item of digital content.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for displaying at least one graphical representation as a stacked waveform strip, the stacked waveform strip including: a first strip segment, the first strip segment being associated with a first time period, a second strip segment, the second strip segment being associated with a second time period earlier than the first time period and being displayed beneath the first strip segment, and a third strip segment, the third strip segment being associated with a third time period earlier than the second time period and being displayed beneath the second strip segment.

Abstract: Implementations of the present disclosure are generally directed to accessing and aggregating digital content from a plurality of data sources, and generating one or more presentations based on the digital content. More particularly, implementations are directed to aggregating digital content from one or more data sources including social networking data sources, processing the digital content, and providing a presentation based on the digital content.

Abstract: Implementations provide a user of a mobile device access to patient information and patient physiological data. Actions can include receiving a user request, the user request being received in response to user input to the mobile device, determining that the user request is associated with patient data and/or patient information stored in a plurality of data stores associated with a plurality of facility systems, each data store in the plurality of data stores being associated with a respective facility system, transmitting a plurality of requests, each request being directed to a respective facility system, receiving a plurality of responses, each response being responsive to a respective request of the plurality of requests, and transmitting a response to the mobile device, the response being responsive to the user request.

Abstract: Implementations provide a user of a mobile device access to patient information and patient physiological data. Actions can include receiving a user request, the user request being received in response to user input to the mobile device, determining that the user request is associated with patient data and/or patient information stored in a plurality of data stores associated with a plurality of facility systems, each data store in the plurality of data stores being associated with a respective facility system, transmitting a plurality of requests, each request being directed to a respective facility system, receiving a plurality of responses, each response being responsive to a respective request of the plurality of requests, and transmitting a response to the mobile device, the response being responsive to the user request.

Abstract: Implementations are directed to providing a user of a mobile device access to patient information and patient physiological data. Actions can include receiving user input, the user input indicating a user command to display a laboratory results screen for a particular patient, processing patient-specific data and lab results data to provide one or more tables, and displaying the laboratory results screen on the mobile device, the laboratory results screen including the one or more tables, each table of the one or more tables providing one or more discrete data values, wherein a discrete data value of the one or more discrete values is user-selectable to provide detailed result information.

Abstract: Implementations are directed to providing a user of a mobile device access to patient information and patient physiological data. Actions can include receiving user input, the user input indicating a user command to display a monitoring screen for a particular patient, processing patient-specific data and event data to provide one or more event summaries, each event summary including a graphical representation of an event based on the patient-specific data, and displaying the monitoring screen on the mobile device, the monitoring screen including the one or more event summaries, each event summary including at least a portion of patient-specific data displayed as a waveform associated with an event.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for displaying at least one graphical representation as a stacked waveform strip, the stacked waveform strip including: a first strip segment, the first strip segment being associated with a first time period, a second strip segment, the second strip segment being associated with a second time period earlier than the first time period and being displayed beneath the first strip segment, and a third strip segment, the third strip segment being associated with a third time period earlier than the second time period and being displayed beneath the second strip segment.

Abstract: Implementations provide methods including actions of processing patient data to generate one or more graphical representations of the patient data, at least one graphical representation of the one or more graphical representations including a waveform, displaying at least one waveform segment of the waveform, and displaying calipers associated with the at least one waveform segment, each caliper being associated with an interval, where displaying the calipers includes, for each caliper: receiving a measurement value of the interval associated with the caliper, determining respective positions of a first handle and a second handle of the caliper based on the measurement, and displaying the first handle and the second handle in the respective positions relative to the at least one waveform segment.