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.

Abstract: A method includes defining model attributes of a machine model that organizes feedback data into topic groups based on similarities in concepts in the feedback data. The model attributes include a topic model number that defines how many topic groups are to be created, a hyperparameter optimization alpha value, and/or a hyperparameter optimization beta value. The method also includes generating the machine model using the model attributes that are defined and the feedback data, and applying the machine model to the feedback data to divide different portions of the feedback data into the different topic groups based on contents of the feedback data, the topic model number, the hyperparameter optimization alpha value, and/or the hyperparameter optimization beta value.

Abstract: A monitoring system for mapping and monitoring inter-application communications in a computing ecosystem is described. The monitoring system provides consolidated visibility to computing ecosystems by providing end-to-end mapping and monitoring of inter-application communications and events, changes, incidents, and status information of applications, services, and systems. As described, the monitoring system is configured to (a) identify communication paths linking the host devices, (b) generate an ecosystem map based on the communication paths, (c) transmit a monitoring signal to the network, (d) receive a monitoring response from the host devices in response to the monitoring signal including at least a first status, (e) process the monitoring response with the ecosystem map to generate an active ecosystem map, and (f) display the active ecosystem map including the host devices and at least one status associated with the host devices.

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: 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 determining that a first prescription drug prescribed to a first patient should be filled by a pharmacy, determining a first guidepost date and a second guidepost date related to the first prescription, determining a third guidepost date associated with a second prescription, comparing the third guidepost date to the first and second guidepost dates to determine whether the third guidepost date occurs after the first guidepost date and before the second guidepost date, and filling and dispensing the first prescription drug as a full prescription supply and the second prescription drug as a full prescription supply on the same dispense date when the third guidepost date occurs after the first guidepost date and before the second guidepost date.

Abstract: Methods and systems for selecting a machine learning algorithm are described. In one embodiment, one or more factors to be used by a plurality of machine learning algorithms in predicting a value of a required pharmacy element of a prescription are identified, each of the plurality of machine learning algorithms are trained to predict the value of the required pharmacy element using a first subset of previously received prescriptions, respective success rates for each of the plurality of machine learning algorithms at predicting respective known values of respective known required pharmacy elements for each of a second subset of the previously received prescriptions are determined, and a first of the plurality of machine learning algorithms having a highest success rate is selected to predict the value of the required pharmacy element of the prescription for a first predetermined period.

Abstract: A temperature-controlled medication packaging system includes a storage with a temperature-controlled interior containing at least one medication. The packaging system further includes at least one shipping container and at least one coolant that is sized to fit within the at least one shipping container. A first robot is adapted to retrieve the at least one medication from the storage and transport the at least one medication to a second robot. The second robot is adapted to receive the at least one medication from the first robot and to bring the at least one medication and the at least one shipping container and the at least one coolant together for packaging.

Abstract: The shuttle system is configured to convey a container through a filling center. The shuttle system includes a shuttle and a base plate that is operably attached with the shuttle. A plurality of support members extend vertically upwardly from the base plate and surround a container receiving space. The support members are configured to directly contact side surfaces of the container and to support the container as the shuttle moves through the filling center without locking the container to the shuttle.

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.