Abstract: Example methods and apparatus for combining electronic payment and rewards redemption at retail points of sale are disclosed. A point of sale (POS) system may be configured to facilitate contactless payments while securing customer payment data. When a customer with a payment application installed on a mobile device initiates a transaction, the application obtains reference data associated with a customer account from an account services server of the POS. The reference data is then passed from the application of the mobile device to a POS terminal, such as by near field communication. Upon receiving the token, the POS terminal obtains customer payment data from the account services server and rewards program data for the customer from a rewards program server. Available rewards may be automatically applied prior to processing payment using the payment data to complete the contactless payment transaction.

Abstract: The following relates generally to voice assisted healthcare. In some embodiments, a digital assistant receives audio data, and determines an intent from the audio data. The digital assistant may then match the determined intent to a flow of a set of flows, where the set of flows may include at least one of: (i) submitting a prescription, (ii) refilling a prescription, (iii) changing a pickup location, (iv) requesting a status update for a prescription, or (v) initiating a pharmacy chat session. The matched flow of the set of flows may then be executed.

Abstract: Apparatuses, systems and methods are provided to reduce return of prescriptions to stock. The apparatuses, systems, and methods may reduce return of prescriptions to stock based on a predictive model. The apparatuses, systems, and methods may reduce return of prescriptions to stock based on a response of a patient to a notification that a prescription has been received for the patient.

Abstract: Techniques are disclosed to provide enhanced online security. A network server actively monitors data between a network server hosting a website and a computing device. Some of the disclosed techniques leverage “cookie stitchers” to associate user data, which may include a website identifier, to the user's computing devices. These techniques allow the network server to block access to explicitly identified computing devices, or to trigger two-factor authentication.

Abstract: In a method for advanced identification of a customer, a customer may remotely place an order, intending to later go to a store to pick up the ordered item. The store may have a pick-up area (e.g., at the back of the store) where the customer can go to pick up the ordered item. To save the customer time, the customer may be identified when she enters the store so that an employee can obtain her ordered item and have it ready to pick up by the time the customer walks through the store and arrives at the pick-up area.

Abstract: In a method for sharing health care information, a computing system of a care receiver receives first data, including a voice message, from a computing system of a caregiver. Based on the first data, the care receiver's computing system determines a notification time associated with the voice message. The care receiver's computing system causes a speaker to generate the voice message at the notification time, and listens for a response from the care receiver. The care receiver's computing system receives, from the care receiver via a microphone at the care receiver's computing system, a voice response message, and sends second data including the voice response message to the computing system of the caregiver.

Abstract: Methods and systems may incorporate voice interaction and other audio interaction to facilitate access to prescription related information and processes. Particularly, voice/audio interactions may be utilized to achieve authentication to access prescription-related information and action capabilities. Additionally, voice/audio interactions may be utilized in performance of processes such as obtaining prescription refills and receiving reminders to consume prescription products.

Abstract: An anti-theft system for cosmetic products. The anti-theft system includes a fixture adapted to receive cosmetic products, and an anti-theft apparatus coupled to the fixture. The anti-theft apparatus includes a base and at least one finger extending from the base. The at least one finger is adapted to either contact or be disposed adjacent to at least one cosmetic product disposed within the fixture. So configured, the at least one finger is adapted to secure the at least one cosmetic product to the fixture.

Abstract: Methods and systems disclosed herein provide drug pricing information for display on a graphical user interface (GUI) for a user. The methods and systems may receive an electronic request from an electronic device associated with the user, wherein the electronic request includes a first set of information that identifies the user and a prescription drug and omits a second set of information corresponding to a prescription for the prescription drug; transmit the first set of information to a database management module; determine, by bypassing transmission of the second set of information to the database management module, the drug pricing information for the prescription drug; and generate, in response to the electronic request, a notification that includes the drug pricing information for display via the GUI executing on the electronic device. The drug pricing information can include a cash price, a co-pay price, and/or a membership price for the prescription drug.

Abstract: The method and system allow a user to launch a client application on an web-enabled device and subsequently to navigate to an image source screen within the client application. After receiving an image source selection from the user, the client application retrieves images from the selected image source. The client application displays the retrieved images available for printing to a user, and in response to receiving a selection of an image, the client application transmits the image to a proprietary server. Moreover, upon receiving print order information, the client application additionally executes a location awareness application that determines a current location of the web-enabled device and subsequently, determines a proximal retail store to the current location of the web-enabled device. Thereafter, the remote printing system creates and transmits a print order that includes the selected image to the retail store for pickup.

Abstract: A method and system may provide a new prescription order interface which allows a customer to order one or more new prescription medications in a quick and easy manner from a remote location using a computer or mobile device. The customer provides a new paper prescription image that includes the prescription data for a pharmacy to fill the new prescription order. The new paper prescription image is received by a server and a default pickup store and a default pickup time are determined. The server also determines whether there is a high risk that the new prescription order is fraudulent by comparing a signature in the new paper prescription image to stored signatures associated with the prescriber, and comparing distances between the locations of the customer's web-enabled device, the pharmacy, and the prescriber. The system may be accessed through a series of web pages and/or via an application.

Abstract: Embodiments are provided for enhancing an in-store retail experience for a customer by facilitating search queries for products and services available for sale in a retail store. According to certain aspects, an electronic device may receive a search string associated with the retail store and transmit the search string to a server that may execute a corresponding search query. The server may send results from the search query to the electronic device, which may dynamically update an interface accessible by a user. The user may view the information and make appropriate selections.

Abstract: Example methods, apparatus, and articles of manufacture to estimate waiting times of prescriptions are disclosed herein. An example computer-implemented method, executed by a processor, to estimate a waiting time of a prescription for a medication includes training a machine learning model using, for each of a plurality of previously filled prescriptions, a set of characteristics of the previously filled prescription, and a fill time for the previously filled prescription, receiving a prescription for a medication for a patient, receiving a request for an estimated waiting time for filling the prescription medication for the patient, identifying a set of characteristics of the prescription medication for the patient, applying the set of characteristics of the prescription medication to the machine learning model to determine the estimated waiting time for filling the prescription medication for the patient, and providing an indication of the estimated waiting time for display on a client device.

Abstract: Techniques for providing a seamless user experience across electronic and physical retail stores of a retailer include storing, locally with a session corresponding to a user's visit to the retailer's electronic store, indications of items that were viewed and/or focused on by the user at the electronic store. At least some of said indications may be transferred to a centralized data storage of the retailer for persistence after the session is terminated. Subsequently, an electronic device operated by the user may determine its location and determine, based on its location, a particular physical retail store of the retailer. Via communications with one or more retailer servers, items that were recently viewed by the user at the electronic store may be identified, and indications thereof may be presented on the display of the electronic device in conjunction with information corresponding to the recently viewed items at the particular physical store.

Abstract: Image based and network controlled, security systems and methods are disclosed herein for securely dispensing pharmaceutical products onsite at a physical location. A server receives scanned prescription image corresponding to a prescription of a user and determines a pharmaceutical product and a pharmaceutical product amount of the pharmaceutical product. The server receives, from a pharmaceutical product imaging device positioned within a physically secured pharmacy area, images of the pharmaceutical product, and then transmits, to a visualization user interface application executing on a network computer positioned outside the physically secured pharmacy area, a visual confirmation of the pharmaceutical product and the pharmaceutical product amount.

Abstract: Systems and methods are provided for diagnosing an issue associated with an enterprise application on a client device by initiating a communication from the client device to a CSR device to report the issue, generating a matter identifier associated with the reported issue, transmitting a communication containing a deep link to the client device, invoking the deep link to initiate mining of logging data corresponding to the use of the enterprise application and stored locally on the client device, formatting and/or tagging the mined logging data with the matter identifier, transmitting the formatted mined logging data from the client device to the CSR device and/or a proprietary server, analyzing the mined logging data to diagnose a source of the reported issue, and attempting to resolve the reported issue based on the analysis of the mined logging data.

Abstract: A system, apparatus, and method for providing an automated translation engine for translating a prescription into a standardized format is generally disclosed. More particularly, embodiments described in this disclosure relate to a system, apparatus, and method for automatically receiving a prescription form, analyzing information provided on the prescription form, and translating the information into a standardized form that details medication information including medication administration directions that are easy for a reader to understand.

Abstract: Methods and systems may incorporate voice interaction and other audio interaction to facilitate access to prescription related information and processes. Particularly, voice/audio interactions may be utilized to achieve authentication to access prescription-related information and action capabilities. Additionally, voice/audio interactions may be utilized in performance of processes such as obtaining prescription refills and receiving reminders to consume prescription products.

Abstract: A master data management (MDM) computing device may determine that a first composite data entity that includes a first transaction member record assigned with a first source identifier for a first user by a data source is linked with a second transaction member record assigned with the first source identifier for a second user by the data source. The MDM computing device may flag the second transaction member record as a suspect record for corrupting the first composite data entity when a comparison between first information contained in the first transaction member record and second information contained in the second transaction member record exceeds a predetermined threshold. The MDM computing device may create an overlay task for the second transaction member record, thereby preventing the second transaction member record from corrupting the first composite data entity.

Abstract: A pharmacy management system for automated sig code translation using machine learning includes a processor and a memory storing instructions that, when executed by the one or more processors, cause the pharmacy management system to train a machine learning model to analyze sig codes, receive a sig code, analyze the sig code utterance and generate an output corresponding to the sig code utterance. A computer-implemented method includes training a machine learning model to analyze sig codes, receiving a sig code, analyzing the sig code utterance, and generating an output corresponding to the sig code utterance. A non-transitory computer readable medium containing program instructions that when executed, cause a computer to: train a machine learning model to analyze sig codes, receive a sig code, analyze the sig code utterance, and generate an output corresponding to the sig code utterance.