Abstract: A pharmaceutical container processor for processing pharmaceutical containers includes a set of container operation stations along which a set of container operations occur. The set of container operation stations includes a storage station where pharmaceutical containers are stored; a first identification station where pharmaceutical containers are each identified; a labeling station where a label is applied to pharmaceutical containers; a second identification station where pharmaceutical containers are each identified after the label is applied; and an outlet station where pharmaceutical containers are moved to after said pharmaceutical containers are identified at the second identification station. First and second container transporters move each pharmaceutical container through the set of container operation stations. Each pharmaceutical container is transferred from the first container transporter to the second container transporter along the set of container operation stations.

Abstract: A computerized search method includes receiving first input designating a first location of a first analytic. The method includes, in response to a scheduling event, obtaining a first document from the first location, identifying a first predefined label within the first document, obtaining first and second data associated with the first predefined label, storing the first datum into a value index as a current value of the first analytic, and storing the second datum into a text index as a textual description of the first analytic. The method includes presenting a search interface and, in response to receiving a search query from a user: identifying a set of result analytics relevant to the search query based on the text index and presenting, for each of the result analytics, a textual description of the analytic from the text index and a most recent value of the analytic from the value index.

Abstract: A user experience management system obtains survey results providing insight on the user's experience with provided products and services. Periodically, the user experience management system uses these results in conjunction with the help desk data and the user experience management system monitoring data to identify the set of problems with specific products and services on a granular level. The product management system generates a resolution to address a problem definition generated by the user experience management system. The user experience management system monitors the resolution and updates the database with data pertaining to the resolution. Other embodiments are disclosed herein.

Abstract: A pharmaceutical order filling system receives pharmaceutical orders and uses a packing device to package pharmaceutical orders. The packing device is configured with at least one cutter that generates tailings and dust. A tailing collection device is provided that collects the tailings and dust generated by the packing device into and through an intake tube and into a collection assembly. The collection assembly includes a hood with at least one air filter, a frame, and a bin removably received within the frame. The frame supports the hood and aligns the bin to be in fluid communication with the hood. A gas motive device is positioned intermediate the ends of an intake tub before the hood and is configured to suction the tailings and/or dust.

Abstract: A method includes receiving a first set of identifiers selected based on commonality among descriptive data corresponding to the identifiers of the first set. Each identifier corresponds to a user who has been supplied a physical object. The method includes identifying event data for the first set within a specified epoch. The method includes training a machine learning model for the first set using the identified event data. The machine learning model is trained using parallel processing of records from a storage structure storing the event data. The parallel processing includes assigning analysis of the event data of each of a subset of the first set to respective processor threads for parallel execution on processing hardware. The trained machine learning model is configured to receive a selected identifier and generate an output representing an amount of resources expected to be used by the selected identifier for a subsequent epoch.

Abstract: Methods and systems for providing a secure healthcare communication exchange platform. The methods and systems perform operations comprising: accessing a collection of data records from a plurality of sources, the collection of data records corresponding to a given entity; generating, based on the collection of data records, an aggregated representation of one or more conditions associated with the given entity; determining, based on the aggregated representation, that a given condition of the one or more conditions satisfies an outreach parameter; in response to determining that the given condition satisfies the outreach parameter, triggering an outreach event to communicate with the given entity; generating status information in the aggregated representation, the status information corresponding to the outreach event; and tracking the status information to establish a relationship between the given condition and the outreach parameter.

Abstract: A computer system includes memory hardware configured to store a dynamic mock engine module for service simulation in a user interface application development system, and multiple mock configurations. Processor hardware is configured to execute instructions including receiving an endpoint name associated with an endpoint of a user interface, receiving an input request, and selecting at least one of the mock configurations that corresponds to the received endpoint name. For each of the selected mock configurations corresponding to the endpoint, the instructions include determining a number of field values in the mock request of the selected mock configuration that match a field value of the input request. The instructions include determining which one of the selected mock configurations has a greatest match with the received input request, and transmitting the output response of the mock configuration having the greatest match to a computing device of the user interface application development system.

Abstract: A method for predicting errors in prescription claim data is performed by a claim analysis device. The method includes extracting historical claim features from successfully processed historical claims received from the data warehouse system. The method includes extracting pending claim features from a pending claim. The method includes applying a binarization process on the extracted historical claim features to obtain a binarized training feature set. The method includes applying the binarization process on the extracted pending claim features to obtain a binarized pending feature set. The method includes calculating an aggregate distance between the binarized pending feature set and the binarized training feature set. The method includes identifying the historical claim associated with the least aggregate distance as a predictive historical claim.

Abstract: The dynamic package sortation device includes a track for handling a plurality of packages is provided. At least one conveyor extends away from the track towards at least two shipping containers. The at least one conveyor is extendable and retractable for dispensing the packages into a first shipping container of the at least two shipping containers and a second condition for dispensing the packages into a second shipping container of the at least two shipping containers. A controller is provided for providing an instruction to move the at least one conveyor between the first condition and the second condition based on a trigger.

Abstract: A computer system includes processor hardware configured to execute instructions from memory hardware. The instructions include training first and second machine learning models with the measured historical performance metrics to generate a component health status output and a component health score output, respectively, and generating a plurality of elements for display in a multi-level application monitoring interface. The measured historical performance metrics include at least one of a component response time, a component volume, a component memory utilization, and a component processor utilization.

Abstract: A computerized method of automated device efficacy determination for multiple monitor devices includes receiving streaming data including multiple health data values sensed by multiple monitor devices, each value indicative of health status of one or more members, and identifying first and second health data values from first and second target ones of the multiple monitor devices. The method includes determining first and second measured health status values of first and second ones of the members according to the identified first and second health data values, and aggregating the determined first measured health status value of the first member with the determined second measured health status value of the first member or the measured health status value of the second member. The method includes comparing the aggregated measured health status values to a target device efficacy threshold to determine an outcome-based device efficacy of the first and second target monitor devices.

Abstract: A method includes receiving at least one data object and identifying, for a first aspect of the at least one data object, text strings of free form textual information having a first text string type. The method also includes generating updated free form textual information by removing the at least one text string having the first text string type. The method also includes generating one or more feature vectors based on the updated free form textual information using at least one of a unigram, a bigram, and a trigram. The method also includes using an artificial intelligence engine that uses at least one machine learning model configured to provide, using the one or more feature vectors, an output that includes at least one prediction indicating at least one resource domain and a weight value indicating a probability that the at least one resource domain corresponds to the free form textual information.

Abstract: Method and systems for product inventory are described. In one embodiment, an inventory surface unit retains a plurality of products in an unordered state. An inventory identification unit acquires information for an orientation, and location of the plurality of products on the inventory surface unit. The inventory identification unit is disposed above the inventory surface unit. An inventory pick unit is adapted to pick a product among the plurality of products from the inventory surface unit based on the orientation and location acquired by the inventory identification unit. The inventory pick unit is disposed proximal the inventory surface unit, and the inventory pick unit is communicatively connected to the inventory identification unit. Additional methods and systems are disclosed.

Abstract: The medication dispensing assembly includes a housing having an interior. A medication bottle is disposed in the interior with its cap assembly facing vertically downwardly. The cap assembly includes outer, middle, and inner pieces. The outer and inner pieces are fixed with one another, and the middle piece is fixed with the bottle. A drive unit is disposed in the interior of the housing and is configured to rotate the bottle and the middle piece of the cap assembly about a vertical axis. The three pieces of the cap assembly have respective medication openings, and rotating the bottle causes individual pills to travel first from the bottle into the inner piece, then into the middle piece, then around the vertical axis, and then outside of the cap assembly through the medication opening of the outer piece.

Abstract: A system for integrating a telephone system and a computing system is provided. The system includes an interactive voice response (IVR) platform configured to: obtain a computer-readable command based on user input; determine a goal in the web application associated with the computer-readable command; and obtain information indicating a shortest navigation path to the goal, relative to other navigational paths to the goal in the web application. The system includes a cobrowse client configured to receive a document object model (DOM) of a current state of the web application from a cobrowse session for a web server hosting the web application. The IVR platform is configured to, based on the DOM, determine a next navigation action along the shortest navigation path; generate a user prompt based on the next navigation action; and monitor user progress to reach the goal in the web application using one or more updated DOMs.

Abstract: A medication dispensing system includes an automated dispensing device that includes cells with electronically activated locks. The device is configured to detect when medication counts in the cells fall below predetermined thresholds. The system further includes a plurality of first electronic devices that are associated with some of the cells and that have imagers. In response to any of the medication counts in the cells being below the predetermined threshold, the automated dispensing device is configured to automatically send a replenishment needed notification to the first electronic device associated with the cell. That first electronic device is configured to transmit a picture of a medication to a second electronic device. In response to a positive verification by a user of the second electronic device that the medication in the picture is the correct medication, the second electronic device is configured to transmit an unlock signal to the automated dispensing device.

Abstract: A computer system includes memory storing a database including a label text table for storing multiple label texts each associated with a national drug code (NDC), a fields table, and a field options table. A processor is configured to execute instructions including receiving drug input from a user indicative of a specified NDC, querying the database to obtain a label text associated with the specified NDC, at least one field associated with the obtained label text, and multiple field options associated with the obtained field, building a data structure, converting the data structure to a user interface for displaying the obtained label text, the obtained field, and the multiple obtained field options, receiving a user selection of one of the multiple obtained field options, and printing the label text including the updated field to a label and/or saving the label text including the updated field to a record database.

Abstract: Method starts with a processor receiving configuration settings including an identified task, a relationship data, and a criticality value. Processor initializes a communication session with an agent client device. The communication session is between a virtual caller associated with the system and the agent client device. Processor then processes an audio signal of the communication session to generate an agent utterance and generates a transcribed agent utterance based on the agent utterance using a speech-to-text processor. Processor generates a virtual caller utterance using a task-specific virtual caller neural network associated with the identified task. The virtual caller utterance can be generated based on the transcribed agent utterance. Processor then causes the virtual caller utterance to be played back in the communication session to the agent client device. Other embodiments are disclosed herein.