Abstract: A computer-implemented method includes defining model attributes including a training iteration value that defines a set of training iterations to be used in machine learning to associate portions of feedback data with a set of topic groups based on similarities in concepts conveyed in the feedback data. The method includes removing at least some of the confidential information from the feedback data. The method includes receiving a topic model number selection that indicates a subset of the set of topic groups. The method includes using machine learning to train a machine model based on the model attributes and the topic model number selection. The method includes generating a display showing at least one of a topic cluster graph or a word cloud based on the machine model.

Abstract: An apparatus for liquid medication bottle-splitting is provided. The apparatus includes: a first dispensing section comprising a funnel-shaped hollow body with a wide inlet opening tapering to a narrow outlet; a second dispensing section comprising a second funnel-shaped hollow body with a second wide inlet opening tapering to a second narrow outlet; and a crossover channel connecting the first dispensing section to the second dispensing section, the crossover channel including a crossover opening extending a length of the crossover channel, and the crossover channel being angled to evenly distribute a flow of liquid medication into at least a first split portion in the first dispensing section and a second split portion in the second dispensing section; the first dispensing section adapted to dispense the first split portion, and the second dispensing section adapted to dispense the second split portion.

Abstract: Methods and systems for classifying and editing insurance claims records are described. In one embodiment, a method, which can be performed by a processor, includes identifying that a first prescription drug prescribed to a first patient, identifying a first date and a second date related to the first prescription, the second date occurring after the first date, both the first and second dates depending on a previous fill of the first prescription drug, identifying, at the processor, a third date associated with a second prescription, comparing, at the processor, the third date to the first and second dates to determine whether the third date occurs after the first date and before the second date, and filling and dispensing the first prescription drug and the second prescription drug on the same dispense date when the third date occurs after the first date and before the second date.

Abstract: A method for testing a user interface (UI) includes obtaining a first state of the UI and setting a current position to specified location coordinates. The method includes determining whether the first state satisfies criteria for a goal and, if so, updating a collection of completed tests with a test distance and test data. The method includes, in response to the first state not satisfying the criteria: determining a set of potential user actions to be performed in the first state based on interactive elements of the UI; selecting and executing an action; and updating the test distance based on the current position and location coordinates of the element associated with the action. The method includes determining a shortest path to the goal in the UI based on the collection of completed tests. The method includes, based on the determined shortest path, automatically visually transforming a state of the UI.

Abstract: The medication container includes a receptacle and a cap. The cap includes a gate that can be selectively opened to enable access to medications in the receptacle and closed to restrict access to medications in the receptacle. The gate has a locking mechanism that only unlocks to allow the gate to open from the closed position in response to an application of a downward force on a portion of the gate to resiliently deflect a portion of the gate. The cap further includes electronic components that are configured to monitor movement of medications through the cap and into and out of the receptacle, the electronic components including a memory that is configured to store data pertaining to such passages of medications.

Abstract: A method for controlling secure delivery of a medication package includes receiving a medication delivery request to deliver a medication package to a first delivery location. The method also includes identifying one or more authenticated delivery locations corresponding to a recipient and determining whether the one or more authenticated delivery locations includes the first delivery location and, in response to a determination that the one or more authenticated delivery locations includes the first delivery location, instructing an unmanned aerial vehicle to transport the medication package from a starting location to the first delivery location. The method also includes, in response to the unmanned aerial vehicle communicating authentication data, determining whether the authentication data corresponds to the recipient.

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.

Abstract: A fulfillment system is provided and includes a perishable drug filling system and a non-perishable drug filling system. A shipping station is provided for delivering the coolers and the boxes to at least one delivery service. A conveyor is configured to move the boxes and the coolers from the drug filling systems to the shipping station. A decision station is located along the conveyor and is configured to determine if a container on the conveyor is a cooler or a box. The conveyor is configured to direct the coolers to a shrink wrap station and to direct the boxes to the shipping station while bypassing the shrink wrap station. The shrink wrap station is configured to apply a wrapper around the cooler and apply heat to the wrapper to shrink the wrapper around the cooler with the wrapper having a transparent section over a label on the cooler.

Abstract: A computer-implemented method includes receiving input data that is organized into a set of rows and a set of columns. The method includes maintaining a machine learning header model that is trained on tabular data with header rows. The method includes supplying the input data as input to the machine learning header model to generate header row identification data that identifies a set of header rows that is a subset of the set of rows. The method includes maintaining a machine learning column model that is trained on tabular data. The method includes supplying the header row identification data and features of the input data to the machine learning column model to generate column label data that applies a set of defined labels to the set of columns. The method includes generating output data that is organized into rows and columns.

Abstract: A computer system for testing a user interface includes a memory circuit and a processor circuit configured to execute instructions including obtaining a state of the user interface. The instructions include setting a current position to a specified location within the user interface. The instructions include executing user interface tests to generate multiple paths. The instructions include determining a shortest path toward a goal location by identifying a path having a minimum distance that satisfies criteria. A distance for the path is based on two-dimensional distances between pairs of consecutive positions that include the current position as well as positions, along the particular path, of user interface elements requiring interaction to satisfy the criteria.

Abstract: A method includes receiving a data access request at a computing system. The data access request is for completion of a first data processing task using the computing system. The method also includes accessing a plurality of first document types associated with a plurality of data processing tasks that include the first data processing task. The plurality of first document types indicates which of various subsets of data are required to complete the plurality of data processing tasks. The method also includes accessing a plurality of second document types that indicate assignments of the plurality of data processing tasks to a plurality of system requestors that includes the first system requestor, and executing the first data processing task based on the plurality of first document types and the plurality of second document types.

Abstract: A modeling computing device for predicting relative patient hazards based on predicted patient pharmaceutical adherence is provided. The modeling computing device includes a processor configured to receive a set of adherence data associated with adherence to a pharmaceutical prescription by a patient. The processor is also configured to determine a set of predictive adherence scores and determine a variability score associated with the set of predictive adherence scores. The processor is further configured to integrate the set of predictive adherence scores and the variability score into a feature value. The processor is also configured to identify a hazard regression model and to apply the feature value to the hazard regression model to generate an integrated patient hazard model. The processor is also configured to process the integrated patient hazard model to determine a risk level associated with the patient, and transmit an alert based on the risk level.

Abstract: A method for providing secure single sign on includes receiving a first data object from an application hosting server, the first data object indicating at least a service provider name and identifying a configuration file corresponding to the service provider name, wherein the configuration file includes at least trusted identity information. The method also includes determining, using the configuration file corresponding to the service provider name, whether the first data object is valid and, in response to a determination that the first data object is valid, generating a response message.

Abstract: In an embodiment, a medication dispensing assembly includes a housing containing a plurality of electronically activated guidance devices which are configured to guide medications from at least one medication dispenser into a plurality of containers. The housing includes a panel which closes off at least a portion of one side of the housing. The panel has a plurality of wire openings that are spaced apart from one another. A plurality of wires extend through a portion of an interior of the housing and extend through the wire openings of the panel from the interior of the housing to outside of the housing. The wires are electronically connected with electronically activated guidance devices. At least one of the wire openings includes a slot which extends to an edge of the panel.

Abstract: Methods and systems for a cough detection system are provided. The methods and systems include operations comprising: receiving an utterance comprising a cough from a user; determining one or more environmental factors, one or more health related factors, or both associated with the user; processing the utterance with a machine learning technique to generate an illness prediction, the machine learning technique being trained to establish a relationship between a plurality of training cough utterances and a plurality of illnesses corresponding to the plurality of training cough utterances; applying a weight to the illness prediction based on the one or more environmental factors, health related factors, or both associated with the user; and triggering an alert representing the illness prediction based on the weighted illness prediction.

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 method includes receiving a query directed to a first data model that specifies base data fields. The method includes determining extension bindings for the first data model. A binding specifies an extension to the first data model and specifies one of the base data fields as a node at which the specified extension is added. The extension specifies a non-empty set of data fields. The method includes retrieving base data values according to the base data fields and extension data values according to, for a first binding, the set of data fields. The method includes generating a data object from the base and extension data values according to a second data model. The second data model is based on the first data model extended by adding the data fields from the extension specified by the first binding to the first data model at the specified node.

Abstract: A package delivery system for delivering a plurality of packages with one or more unmanned aerial vehicles (UAVs) includes a package receptacle to receive and store the plurality of packages. A charging station charges a plurality of UAV batteries which power the one or more UAVs. A UAV landing pad permits the one or more UAVs to land thereon. A loader loads a package of the plurality of packages and/or a UAV battery of the plurality of UAV batteries onto the UAVs when the UAVs are on the UAV landing pad. A transporter moves the packages and/or the UAV batteries s toward the loader.