Hewlett-packard Development Company, L.P.

Hewlett Packard Enterprise Development LP

General Electric Company

Entit Software LLC

Ge Precision Healthcare LLC

Micro Focus Lcc

Hewlett-packard Indigo B.v.

Omer Barkol

Ruth Bergman

Sagi Schein

Shahar Golan

Doron Shaked

Andreas Tzanetakis

Ayelet Pnueli

Michael Pogrebisky

Michelle Townshend

Renato Keshet

Mani Fischer

Ron Banner

David Lehavi

Ludovic Avot

Eyal Hayun

Igor Nor

Constance Anne Rathke

Inbal Tadeski

Jeffrey Hersh

Reuth Goldstein

Steven J Simske

Ira Cohen

Carl Staelin

Michal Aharon

Marie Vans

Ilan Shufer

Paul Lawrence Mullen

Ram Dagan

Rodolfo Jodra

Eigil Samset

Daniel Freedman

Alexei Ledenev

Gidi Amir

Hadas Kogan

Marianne Hickey

Arik Sityon

Mohammed J Zaki

Nitsan Amichai

Yifat Felder

Yonathan Livny

Paul Mullen

Pranay Anchuri

Elina Sokulin

Vitali Greenberg

Ayelel Pnueli

Reuth Vexler

Avi Malki

Alexei Lenedev

David Maddox Utt

Gal Noy

Various systems and devices are provided for facilitating communication in a healthcare setting. In one example, a system for providing medical information can include a processor that, in response to executing machine-readable instructions, can generate a patient dashboard comprising the medical information for a patient and a patient communication thread. The processor can also output the patient dashboard to a display, wherein the patient dashboard further comprises a first link proximate to a displayed parameter from the medical information and the processor can obtain communication among care providers monitoring the patient and virtual healthcare assistants configured to communicate on the communication thread. The processor can also output the communication from the care providers, the virtual healthcare assistances, or any combination thereof, in the patient communication thread of the patient dashboard provided by the display.

Devices and method for a healthcare collaboration space

Systems and methods are provided for presenting aggregate data in response to a natural language user input. In one example, a system includes a display and a computing device coupled to the display and storing instructions executable to receive a natural language user input, process the natural language user input, in response to determining that the user input includes a request to display two different plots of record data specific to the subject, generate, with the virtual assistant, a single graph including the two different plots of record data based on the processed natural language user input, the two different plots of record data plotted from two different record data sets, one or more aspects of the single graph selected based on an overlapping parameter for each of the two different record data sets, and output, to the display, the single graph as part of a communication thread.

Systems and methods for conversational flexible data presentation

Systems and methods are provided for collaborative communication between a virtual healthcare assistant and a plurality of care providers. In one example, a system includes a display and a computing device operably coupled to the display and storing instructions executable to output, to the display, a public communication thread including communication among two or more care providers monitoring a patient and a virtual healthcare assistant, the public communication thread specific to the patient and responsive to a request from a first care provider of the two or more care providers, output, to the display, a private communication thread including communication only between the first care provider and the virtual healthcare assistant, the private communication thread specific to the patient.

Systems and methods for public and private communication threads

Systems and methods are provided for presenting aggregate data in response to a natural language user input. In one example, a system includes a display and a computing device coupled to the display and storing instructions executable to output, to the display, a patient-specific communication thread including communication among one or more care providers monitoring a patient and a virtual healthcare assistant, generate, with the virtual healthcare assistant, a notification indicating a change in a state of the patient, and output, to the display, the notification, where the notification is displayable as part of the communication thread.

Systems and methods for collaborative notifications

Example apparatus, systems, and methods for image data processing are disclosed and described. An example system includes an image capturer to facilitate capture of an image. The example system includes a Doppler spectrum recorder to record a Doppler spectrum. The example system includes a study type inferrer to infer a study type associated with the Doppler spectrum by: processing the Doppler spectrum using at least one neural network to generate a first probability distribution among study type classifications; processing the image using the at least one neural network to generate a second probability distribution among the study type classifications; and combining the first probability distribution and the second probability distribution to infer a study type.

Ultrasound Cardiac Doppler study automation

Various systems and devices are provided for facilitating communication in a healthcare setting. In one example, a system includes a display and a computing device operably coupled to the display. The computing device stores instructions executable to output, to the display, a patient-specific dashboard including medical information specific to the patient, the dashboard further including a displayed link to a patient-specific communication thread; and responsive to a user selecting the link, output to the display a portion of the communication thread, where the communication thread includes communication among one or more care providers monitoring the patient and one or more virtual healthcare assistants.

Certain described examples are directed towards analyzing network data. The network data is processed to generate a graph data structure that has edges that are associated with communication times from the network data and nodes that are associated with computer devices. Representations of the graph data structure are generated over time. Given an indication of at least a computing device, for example as involved in anomalous activity or a security incident, the representations of the graph data structure may be used to determine further associated computer devices that are associated with the indicated device.

Processing network data using a graph data structure

Described herein are techniques for generating a model based on input. In an example, a first model can be generated based on decomposing a rating matrix into a product of two matrices U and V, where U represents correlations between users and a plurality of factors and V represents correlations between items and the plurality of factors. At least some of the users and items can be grouped into groups according to the correlations. Input on one or more of the groups can be received. A second model can be generated based on the input on the one or more of the groups.

Generating a model based on input

A method for discovering representative composite configuration item (CI) patterns in an IT system that includes a plurality of configuration items may include data mining a graph representing the IT system to extract extended frequent composite CI patterns. The method may also include clustering the extended frequent composite CI patterns into clusters based on similarity between the maximal frequent composite CI patterns. The method may further include extracting a representative composite CI pattern for each of the clusters, and using an output device, outputting the representative composite CI pattern for each of the clusters.

Discovering representative composite CI patterns in an it system

A method, a computing system, and a non-transitory machine readable storage medium containing instructions for identifying relationships between entities are provided. In an example, the method includes receiving a query. The query specifies a first computing entity, a second computing entity, and a window of time. A data structure is queried based on the query to identify a set of relationship instances each corresponding to a relationship between the first computing entity and the second computing entity during the window of time. A representation of the first computing entity, the second computing entity, and the set of relationship instances is provided at a user interface.

Identifying relationship instances between entities

Methods and systems of aligning annotation of fields of documents are provided. Training information that includes first measurement information pertaining to features of each of a plurality of fields associated with training clusters for documents of a document type is accessed. A first training cluster is annotated with a first name and the second training cluster is annotated with a second name. An electronic classification model is generated based on the training information. Second measurement information for features of fields associated with new clusters of a new document is accessed. Each of the new clusters is automatically annotated based on the second measurement information using the classification model. For example, a first new cluster that has fields of the first field type is annotated with the first name and a second new cluster that has fields of the second field type is annotated with the second name.

Aligning annotation of fields of documents

Data analytics on encrypted data elements is disclosed. One example is a system including a first data system, a second data system, and a data analytics system. The first data system includes a first data element and a first encryption module with a first private key. The second data system includes a plurality of second data elements and a second encryption module with a second private key. The first encryption module and the second encryption module are communicatively linked to one another, to apply, via the first and second private keys, an encryption protocol to the first data element and the plurality of second data elements to encrypt the data elements. The data analytics system maps the encrypted data elements to an analytics space, performs data analytics based on the mapped data elements, and distributes, via a computing device, results of the data analytics to an information retrieval system.

Data analytics on encrypted data elements

Example embodiments relate to regular expression matching. An example method may include generating a data structure based on a non-deterministic finite automaton (NFA) that represents a regular expression. The data structure may include a set of segments where each segment indicates a segment starting state of the NFA. Each segment may represent zero or more consecutive states of the NFA starting at the segment starting state. Different segments of the set of segments may be capable of indicating different segment starting states on the NFA. Each segment may represent a partial match of the regular expression to the string. The method may further include analyzing the string in relation to the NFA. The method may further include modifying the data structure as the string is analyzed. Such modification may include attempting to expand at least one of the segments in the set to represent additional states of the NFA.

Regular expression matching

In one implementation, an image-based automation process includes identifying a graphical object of a graphical user interface and performing an action relative to the graphical object at the graphical user interface. The identifying is based on an image including the graphical object.

Image-based automation systems and methods

Growing community of inventors

Haifa, Israel

Omer Barkol