Honeywell International Inc.

Toshiba Global Commerce Solutions Holdings Corporation

Allscripts Software, LLC

Toshiba Global Commerce Solutions

Ankit Singh

Dean Frederick Herring

Brad Matthew Johnson

Jeffrey John Smith

Adrian Xavier Rodriguez

Mark Plunkett

David John Steiner

Ethan O'Brien

Lakshminarayana Paila

Stanislav Makarskyy

Devin L Brown

Monsak Jason Chirakansakcharoen

Judith Fainor

Jennifer Castillo

Katherine Ernhart

Phuc Ky Do

John David Landers, Jr

Pinaki Ray

Craig W Turner

Igor Chmil

Seth T Teeples

Douglas Hanthorn

Neil A Girard

Jason Chirakan

Timothy Sneed

Arun Ramasubrahmanyan

James D Daviner

Adrian Xavier Rodriquez

Daniel Burns

Bobby Lewis Williams, Jr

Waad Subber

Michael Schaefer

Erin Kendall Dorshorst

Tanmay Sonawadekar

Eric Hartye

Jason Halpern

An improved patient check-in system for healthcare appointments is disclosed herein. Prior to a datetime of a healthcare appointment of a patient, an electronic health records application (EHR) receives a first message originating from a patient computing device of the patient. The first message includes a location of the patient and patient information for the patient. Responsive to receiving the first message, the EHR stores the patient information in a cache. The EHR also places a placeholder for the patient in a queue that indicates an order in which healthcare appointments for patients at the healthcare facility are to occur. Subsequently, the EHR receives a second message generated by the patient computing device indicating that the patient has arrived at the healthcare facility for the healthcare appointment. The EHR transfers the patient information from the cache to a data store accessible to the EHR.

Proximity-based patient check-in computing system

Technologies and techniques for processing drug data in a computer network. Data from a prescription drug monitoring program (PDMP) and medical/prescription data is received for a patient. Image data of the one or more patients is also received from an image capturing device. The PDMP data, medical data and image data is processed to predictably determining a potential drug abuse condition in one of the one or more patients, wherein the predictive determination includes detecting one or more facial emotive expressions from the image data. A file including data relating to the drug abuse condition may be generated and transmitted to the computer network.

Apparatus, system and method for processing medical data and image data in a computer system

A method of bidirectional data flow includes: receiving analytics data at a repository of the business intelligence tool, wherein the analytics data is imported in a repository-compatible format; generating visualizations with the business intelligence tool using the analytics data; importing the generated visualizations from the business intelligence tool to a SaaS-hosted report generation tool; locating the imported visualizations within a report generated using the SaaS-hosted report generation tool, wherein the imported visualizations are located using one or more predefined templates; receiving approval for the located imported visualizations, wherein the received approval is based on one or more access permissions associated with a user based on access permissions stored in an identity and access module; and removing the analytics data from the repository of the business intelligence tool based on the received approval for the located imported visualizations, wherein the business intelligence tool is hosted in a containerized environment.

Embedded business analytics bi-directional flow

Systems, apparatuses, methods, and computer program products are provided. For example, a method provided herein may include identifying operational data representative of an activity amount associated with a computing account. In some embodiments, the method may include determining that the computing account is associated with a deactivated status based at least in part on the operational data. In some embodiments, the method may include parsing a computing account dataset associated with the computing account to identify a plurality of computing account objects. In some embodiments, the method may include applying the plurality of computing account objects to a computing account objects classification model. In some embodiments, the method may include generating a plurality of computing account representation requests. In some embodiments, the method may include transmitting each of the plurality of computing account representation requests to a corresponding computing application of the plurality of computing applications.

Systems, apparatuses, methods, and computer program products for computing account optimization

A method of generating an annual product quality review report includes defining at least one author for generating the report; selecting a chapter for inclusion in the report, wherein the chapter is associated with one or more predefined data requirements which predefined data requirements may be presented to the author for inclusion in the report; defining at least one system of record from a plurality of systems of record as a source of raw data for providing data to the one or more predefined data requirements. The at least one system of record provides raw data to the predefined data requirements through a tech fabric that causes the raw data to populate one or more enterprise object models to standardize the raw data.

Systems and methods for generating annual product quality reviews

Various embodiments described herein relate to managing metadata between organizations within an enterprise. In this regard, a set of code comprising one or more code features is received from a first organization. The one or more code features are tagged with one or more code feature tags to associate each of the one or more code features with the one or more code feature tags. The one or more tagged code features are stored in a repository based on the one or more code feature tags. The repository is at least partially accessible by a second organization. Based on a request received from a requestor for one or more features, it is determined if the one or more requested features are tagged code features. Further, one or more of the tagged code features are provided to the requester based on the requested features having been tagged as tagged code features.

Cross organizational metadata migration

A method of optimizing full text search results for multiple languages includes importing a document from a first organization including one or more first organization users, wherein the one or more first organization users are associated with a first organization location; determining a first organization language based on the first organization location; analyzing the imported document with a natural language processing (NLP) service to determine a primary document language; and indexing a determined document language to the imported document based at least in part on the first organization language and the primary document language, wherein indexing the determined document language to the imported document causes the document to be searched using a document search tool in the determined document language.

Systems and methods for multi-language text indexing and search

An immersive scene monitoring system presents a monitoring interface providing a virtual reality (VR)/augmented reality (AR) view of a scene associated with production operation(s) for a (e.g., pharmaceutical) product. The VR/AR view of the scene may be displayed with interactable graphical elements representing input fields corresponding to attributes of quality management events to be generated. The system generates the quality management events based on input (e.g., voice, gesture) received via the monitoring interface. The VR and/or AR view of the scene may be displayed with indicators of detected anomalies, and the input fields and/or corresponding attributes may be automatically populated by the system based on recognized objects and/or anomalies depicted in captured image data of the VR/AR view of the scene. The system can be configured for different scenes pertaining to different production operations and/or different products via a configuration interface.

Apparatus, method, and computer program product for immersive quality management scene monitoring and event generation

A system and method is disclosed for automatically triggering a quality event filing in a monitored area, comprising: receiving incoming data from a plurality of connected devices in the monitored area, the incoming data including environmental data of the monitored area and user data of at least one user in the monitored area; determining, by the at least one processor, whether the incoming data is indicative of the occurrence of at least one quality event in the monitored area; and upon a determination that the incoming data is indicative of at least one quality event, generating, by the at least one processor, a quality event form with form data pre-filled, and transmitting the quality event form to a graphical user interface of a user device of at least one user in the monitored area.

Systems and methods for automatically triggering quality event filings

A multi-class classification system performs multi-class classification using an adapted, multi-level binary classification model in conjunction with pre-classification and post-classification processing. Original, multi-class training data is transformed into coarse-level adapted training data and fine-level adapted training data. In the coarse-level adapted training data, objects from the original training set are classified into either a majority classification set (representing the largest original classification set) or a non-majority classification set representing a combination of the remaining classification sets from the original training data. In the fine-level adapted training data, objects from the non-majority classification set retain their original classifications from the original training data. The adapted training data is used to train coarse-level and fine-level instances of the binary classification model, which are used to generate coarse-level and fine-level binary classifications of objects with respect to an input data set. The binary classifications are transformed into a multi-class classification.

Apparatus, method, and computer program product for multi-class classification using adapted two-level binary classification models

A method includes receiving a first document, the first document including multiple sections, each of the multiple sections tagged with metadata indicating a relationship with a department of an organization; receiving a second document, the second document including multiple sections, each of the multiple sections tagged with metadata indicating a relationship with the department of the organization; comparing the sections of the first document tagged with metadata indicating the relationship of the first document with the department with the sections of the second document tagged with metadata indicating the relationship of the second document with the department to determine differences between the department-relevant sections of the first document and the department-relevant sections of the second document; and presenting the differences between the department-relevant sections to a user in a document difference viewer.

Relevant content document comparison

A computer-implemented method for dynamically modifying at least one visualization, the method comprising: receiving data from at least one database, receiving configuration data from at least one user, based on the received data, generating at least one report that includes at least one visualization based on the received data and the configuration data, receiving at least one annotation from at least one additional user, the at least one annotation including one or more tokens, transmitting at least one search query to the at least one database, the at least one search query including at least one of the one or more tokens, in response to transmitting the at least one search query, receiving updated visualization data from the at least one database, and displaying the updated visualization on one or more user interfaces of one or more user devices.

Systems and methods for generating charts, extracting data, and executing commands in reports

A method of querying a set of raw data includes: receiving raw data; generating a base table having a primary key including a partition key and a sort key; generating a first set of local secondary indexes for the base table, the specific local secondary index sort key being a different one of the plurality of attributes than the sort key of the base table; developing one or more usage factors for each of the one or more local secondary indexes of the base table; receiving a second set of raw data having a plurality of attributes; generating a second base table including the second set of raw data; and generating a second set of local secondary indexes for the second base table based on the usage factors associated with the set of local secondary indexes.

Systems and methods for automatically selecting and creating secondary indexes

Technologies and techniques for processing drug data in a specialized medical computer system. Autonomous moving code may be received via a communications interface from a computer network, where the autonomous movable code includes patient data, lab test data, demographic data, and diagnosis data. The autonomous movable code is executed in a system agent manager and processed in a learning module, where the learning module performs predictive processing to determine if an opioid abuse condition exists. New autonomous movable code may be generated that includes information and/or instructions regarding the opioid abuse condition. The new autonomous movable code is then transmitted back to the computer network.

Growing community of inventors

Morrisville, NC, United States of America

Ankit Singh