Abstract: A wearable computing device for monitoring and facilitating prescription adherence by a patient is provided. The wearable computing device is in communication with an inventory management server. The wearable computing device includes a processor and a memory. The processor is configured to receive a set of prescription plan data including at least a prescription identifier and a prescription rate associated with the prescription identifier. The processor is further configured to determine an inventory level associated with the prescription identifier. The processor is also configured to determine, based at least on the prescription rate, a time value representing a period of time in which a patient is prescribed to take a pharmaceutical associated with the prescription identifier. The processor is additionally configured to present a prescription inventory indicator representing the inventory level. The processor is also configured to present a timer indicator representing the time value.

Abstract: A computer system includes memory configured to store a universal data curation platform including multiple device profiles each including multiple fields for storing received device attributes in a standardized format. A processor is configured to execute instructions that include registering a first monitor device of a first vendor with a first member, registering a second monitor device of the first vendor or a second vendor with the first member or a second member, and receiving streaming health data from the devices. The instructions include transforming and storing multiple data values sensed by the first and second monitor device into standardized format device attributes of device profiles corresponding to the first and second monitor devices, and supplying the stored standardized format device attributes to at least one data analysis engine to determine one or more health characteristics of at least one of the first member and the second member.

Abstract: An event processing system is provided for providing resilient message processing using asynchronous communications. The event processing device includes a processor and a memory. The event processing device is in communication with a publisher microservice and subscriber microservices. The processor is configured to receive an event including a collection of data from the publisher microservice. The processor is also configured to process the event to identify a recipient microservice. The processor is configured to update a queue with a queue entry for each of the at least one recipient microservices for the event. Each queue entry is associated with a priority. The processor is also configured to attempt to transmit the event to each of the at least one recipient microservices until a transmission confirmation message is received. The processor is further configured to update the queue by removing the queue entry for which the transmission confirmation message is received.

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: Method starts with processing, by a processor, audio signal to generate audio caller utterance and transcribed caller utterance. Processor generates identified tasks based on transcribed caller utterances. Processor obtains member context associated with member identification and obtains available tasks associated with member identification. Processor determines lengths of time associated with available tasks, respectively. Lengths of time associated with available tasks are lengths of time that the available tasks have been available. Processor determines messaging data associated with available tasks, respectively, that is based on dates of receipt of messages pertaining to available tasks. Processor, using a predictive analysis neural network, generates a predictive analysis result that is based on the available tasks, the lengths of time associated with the available tasks, or messaging data associated with the available tasks.

Abstract: The imaging system includes a rotating element that is configured to rotate about a central axis. A plurality of scanners are fixedly attached with the rotating element. Each scanner has a lens that faces generally towards the central axis, and the scanners are spaced apart from one another around the central axis. The scanners are configured to identify an optically readable machine readable code contained on the medication container. An actuator is operably connected with the rotating element and is configured to rotate the rotating element and the scanners around the central axis from respective e first positions to respective second positions to allow the scanners to image different areas of the medication container in response to a failure of the scanners to identify the machine readable code when the scanners were in the respective first positions.

Abstract: A system for generating a merged agent log starts with a processor receiving an audio signal of a communication session between a member-related client device and an agent client device. Processor processes the audio signal to generate caller utterances and generates identified tasks based on the caller utterances. The processor then generates caller utterance data including the identified tasks and a start time of the caller utterances and an end time of the caller utterances. The processor groups the caller utterances based on the identified tasks, and for each of the identified tasks, the processor generates an agent log using an agent logging neural network. The agent log is based on the caller utterances. Other embodiments are disclosed herein.

Abstract: A pill bottle for prescribed pills includes: a circular top portion having an aperture; a circular bottom portion; walls that form a cylinder and connect the circular top portion with the circular bottom portion; and a pattern of electrically conductive ink disposed on an exterior surface of the walls.

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 predicting drug directions of a prescription are described. In one embodiment, values of a plurality of required pharmacy elements of a corresponding prescription are received and pre-processed, the values are weighted, a machine learning model to be used by a plurality of machine learning algorithms in predicting drug directions of the prescription is created, and a plurality of drug directions of the prescription are predicted by executing the machine learning algorithms on the weighted values of the plurality of required pharmacy elements of the prescription.

Abstract: A wearable computing device for identifying gestures indicating patient prescription adherence is provided. The wearable computing device includes a processor, a memory, and a motion sensor. The processor is configured to receive a set of prescription plan data defining a prescription for a pharmaceutical associated with a user of the wearable computing device. The processor is also configured to receive a gesture pattern of movement of the wearable computing device. The gesture pattern indicates that a patient is adhering to the prescription. The processor is further configured to detect, with the motion sensor, a first motion pattern associated with the wearable computing device. The processor is also configured to analyze the first motion pattern to determine if the gesture pattern has been performed. Upon determining that the gesture pattern has been performed, the processor is configured to update a prescription usage record.

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 pharmaceutical order filling system receives pharmaceutical orders and uses an accumulation device to accumulate bottles of pharmaceuticals corresponding to the pharmaceutical orders. The accumulation device is configured with a table assembly that includes a plurality of holding tubes configured to accumulate multiple bottles corresponding to pharmaceutical orders. The accumulation device also includes a bottle pick and place assembly configured to place bottles into holding tubes and an unload assembly configured to empty accumulated bottles from holding tubes into an unload assembly tube. The accumulation device may be further configured to receive and temporarily store a single bottle of a prescription order. The accumulation device may be configured to release accumulated bottles onto a conveyor in an upright position.

Abstract: A system includes a processor and memory providing instructions for execution by the processor. The instructions include, responsive to a request from a user device indicating a group type and a time frame, selecting a set of users based on the group type. The instructions include retrieving the user data and historical data from a database and identifying a set of new users during the time frame. The instructions include adding the set of new users to the set of users and generating synthetic historical data for the set of users. The instructions include, based on the synthetic historical data for each user, computing a likelihood of discontinuation of a drugs and computing a likelihood of initiation of a drug. The instructions include estimating, for the group type, an aggregated output based on the likelihoods of initiation and discontinuation. The instructions include displaying the aggregated output on the user device.

Abstract: A method includes identifying all possible data object combinations for at least some of a plurality of data objects and determining a total score value for each data object combination. The method also includes applying a mutation variable to a first set of data object combinations. The method also includes selecting at least two data object combinations of the first set of data object combinations after application of the mutation variable and identifying data objects that appear in each of the at least two data object combinations. The method also includes generating a second set of data object combinations using the data objects that appear in each of the at least two data object combinations and each possible combination of data objects that do not appear in at least one data object combination of the at least two data object combinations.

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: An aspect of the present disclosure is related to a medication dispensing device that includes a housing with an interior. A plurality of cartridge slots are located in the interior, and each of the cartridge slots includes a drive mechanism. A plurality of cartridges are removably disposed in respective ones of the cartridge slots. Each cartridge includes a stationary hub and a rotational wheel. The stationary hub has a window, and the rotational wheel has a plurality of medication chambers that contain medications. The rotational wheel is disposed in the stationary hub. The drive mechanism of the respective cartridge slot is operably connected with the drive wheel and is configured to rotate the rotational wheel relative to the stationary hub to selectively align the medication chambers with the window to dispense the medications contained in the medication chambers out of the cartridge.

Abstract: A container to hold contents therein is described with a gauge to indicate the level of contents in the container. The container can be a prescription container to store capsules, tablets, pills and the like. A label is affixed outside the container and is substantially opaque such that the interior is not visible through the label. The label including a vertical, transparent viewing window to see past the label, through the container wall to view the contents therein. The label includes indicia and indicators adjacent the window to indicate a time remaining for the supply of contents in the container or other characteristics of the contents. The time remaining can be calculated by the container volume and characteristics of the contents.

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: 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.