Abstract: A monitoring system comprises a first device comprising a computer code that when executed by the first device causes the first device to: receive a first security code unique to a second device, the first security code retrieved from a label provided in association with the second device; receive a packet broadcast by the second device, the packet having a second security code unique to the second device and an encrypted payload including a dose record; generate a cryptographic key unique to the second device, based on the first security code and the second security code; and store the cryptographic key.

Abstract: A device pairing system is configured to determine that an auxiliary device detects an ultrasonic beacon emitted by a beacon generator and identify, in response to the determination that the auxiliary device detects the ultrasonic beacon, a medical system associated with the ultrasonic beacon. The auxiliary device is further configured to communicatively pair, in response to the identification of the medical system, the auxiliary device with the identified medical system.

Abstract: A method for determining and indicating expectedness of a first adverse event. The method includes receiving adverse event data associated with the first adverse event. The method further includes receiving request to generate a section of an electronic aggregate report. The request includes an aggregate report type, a reporting period start date, and the reporting period end date. The method includes determining and receiving an electronic reference document including a defined adverse reaction. The defined adverse reaction includes an active start date. The method further includes determining an expectedness cut-off date and the expectedness of the first adverse event. The method further includes generating the section of the electronic aggregate report and indicating the first adverse event is unexpected in the section of the electronic aggregate report.

Abstract: Various examples described herein are directed to systems and methods for providing a treatment substance to an animal. A server may receive from a user computing device an indication of the animal to be treated. The server may access an indication of a treatment substance to be provided to the animal and receive from the user computing device, a first current location of the user computing device. The server may determine that the first current location of the user computing device is more than a threshold distance from an expected location of the animal and, based on the determining that the first current location of the user computing device is more than a threshold distance from the expected location of the animal, send an alert message to an administrative user device.

Abstract: The present disclosure relates to leveraging machine learning algorithms to help guide users to effortlessly assign the correct protocol for an exam order using a standard protocol library and patient clinical information, and it further automates the scanner protocol selection creating a seamless workflow. This helps to reduce time for protocoling and ensures the right imaging exam is delivered for the patient in an efficient manner. In accordance with certain embodiments, a method includes receiving an order for a medical imaging procedure. The medical imaging procedure corresponds to a patient, in response to receding receiving the order, obtaining medical information stored in an information technology system. The medical information relates to the patient, and automatically generating a medical imaging protocol as a function of the obtained medical information.

Abstract: System, methods, and other embodiments described herein relate to autonomous assessment and treatment of a patient. In one embodiment, a method includes, responsive to acquiring, in a managing device, sensor data characterizing a condition of the patient, determining a diagnosis for the condition according to a correlation of the sensor data with a subset of markers. The method includes selecting, using a treatment model, a treatment algorithm from a set of treatment algorithms for performing therapeutic delivery using a robotic device. The method includes causing the robotic device to perform the therapeutic delivery according to the treatment algorithm selected by the treatment model.

Abstract: A computer based method for an electronic marketing campaign from a customer to a contact receives a campaign having an email message body and a historic profile of a previous campaign by the customer. The email message body includes text and image data. The email message body is preprocessed based upon the campaign and the historic profile to produce campaign training data. A neural network learning model is trained with the campaign training data. The neural network provides a subject line recommendation inference, and named entity recognition is performed on the subject line recommendation.

Abstract: A self-driving vehicle with an external advertising platform, such as video display signage, designed to provide on-demand video ever-changing advertising. The audiences of such advertisements would include those individuals that were in proximity to the self-driving vehicle as it traversed a geographic area. A large fleet of such self-driving vehicles could constantly move between targeted areas, including suburban neighborhoods to reach a maximum audience, without the need of a human operator.

Abstract: Provided herein is an engagement and care support platform (“ECSP”) computer system including at least one processor in communication with at least one memory device for facilitating senior user engagement. The processor is programmed to: (i) register a user through an application, (ii) register a caregiver associated with the user through the application, (iii) generate a senior profile based upon user personal and scheduling data, (iv) build a daily interactive user interface that reflects the senior profile, (v) display the daily interactive user interface at a first client device associated with the user, (vi) cause the first client device to initiate a daily interaction prompt to the user, (vii) determine whether any user interaction was received in response to the daily interaction prompt, and (viii) transmit a daily update message to a second client device associated with the caregiver, including an indication of whether any user interaction was received.

Abstract: A system and a method for generating a medical knowledge packet in an active conversation session. The system receives a message associated with a conversation thread. The system determines a context of the message using a machine learning model. Further, one or more medical knowledge packets from one or more sources may be generated based on the message and the context. A confidence score to the medical knowledge packet is assigned based on one or more factors comprising relevance, accuracy, the one or more sources, and recency of the medical knowledge packet. The medical knowledge packet with a highest confidence score is modified by formatting, summarizing, highlighting, cross-referencing, and simplifying by using one or more text analysis algorithms.

Abstract: An input mechanism for generating an input for a search engine, which is of particular use in searching medical databases comprising electrocardiogram (ECG) results. The input for the search engine is constructed in iterative stages, by initializing the input with a placeholder symbol, and iteratively replacing (responsive to a user input) placeholder symbols with input sections. An input section may comprise a variable to be searched, one or more additional placeholder symbols or a function.

Abstract: A facility for performing an enrichment process is disclosed. The facility accesses a starting file emitted by a medical imaging device, which contains (1) medical imaging information captured from a subject, and information identifying the subject. The facility uses the information identifying the subject in the starting file to extract medical information from an electronic medical record corresponding to the subject. The facility then creates an enriched file by making a copy of the starting file and adding the extracted medical information to the copy.

Abstract: A medical decision system comprises a platform having a graphical user interface, an electronic record interface, a guideline interface, and a parameter cost interface. Moreover, a controller of the platform performance tunes a clinical pathway for a patient receiving medical care. Essentially, the controller selects an electronic patient identifier corresponding to the patient receiving medical care, extracts, via the electronic record interface, electronic medical record information associated with the selected electronic patient identifier, extracts, via the guideline interface, guidelines associated with medical care of the patient associated with the electronic patient identifier, and extracts, via the parameter cost interface, cost information associated with the extracted electronic medical record information and the extracted guidelines.

Abstract: A computer system includes memory hardware configured to store a machine learning model, historical feature vector inputs, and computer-executable instructions, and processor hardware configured to execute the instructions. The instructions include training a first machine learning model with the historical feature vector inputs to generate a title score output, and training a second machine learning model with the historical feature vector inputs to generate a background score output. For each entity in a set, the instructions include processing a title feature vector input with the first machine learning model, and processing a background feature vector with a second machine learning model, to generate a tittle score output and a background score output each indicative of a likelihood that the entity is a decision entity. The instructions include automatically distributing structured campaign data to the entity based on the title score output and the background score output.

Abstract: A validation system includes at least one medical device for connection to a patient. Both the medical device and the patient have at least one identification marker. The validation system also has an identification device with a display that is configured to read the identification markers. The validation system further includes a server that communicates with the at least one medical device and the identification device. The server assigns the at least one medical device to a corresponding patient according to an assignment process. A reviewer reviews the assignment in a reviewing process that is independent of the assignment process. A method ensures that at least one item of patient information and/or location information is assigned to at least one medical device and that the assignment is reviewed.

Abstract: A method, apparatus and computer program product are provided herein for ascertaining a demand of promotions. An example method comprises receiving, from one or more consumers, at least one consumer request for at least one of one or more requested promotions or one or more requested providers, generating an aggregated list of the at least one of the one or more requested promotions or the one or more requested providers, ranking the aggregated list of the at least one consumer request, and causing one or more ranked lists to be distributed to at least one sales resource.

Abstract: The disclosed systems and methods integrate gaming functionality with viewing a video program. Systems and methods for generating an interactive multimedia game for a user during the viewing of a video program by the user includes a host computer that generates the game in a context of the video program viewed on a first graphical user interface and recommends the video game to the user. The user may opt to engage with the video game on a second graphical user interface, which may be overlaid on the first graphical user interface.

Abstract: When creating a medical questionnaire of a patient, a medical questionnaire creation assist terminal acquires past clinical data of the patient from an EMR server or an EHR server on the basis of medical questionnaire template data, and also acquires PHR data from a mobile information terminal of the patient to create medical questionnaire basic data. Then, the medical questionnaire creation assist terminal creates medical questionnaire completed data by adding medical interview statement information manually input by the patient or medical staff to incomplete items in the medical questionnaire basic data, and notifies a physician terminal of the medical questionnaire completed data.

Abstract: The subject technology predicts consumer sentiment based on demographics and other statics features of the consumer as well as dynamic features generated based on engagement of the consumer with previously presented targeted content. The sentiment predictions are used to recommend and generated new targeted content that is published to the consumer.

Abstract: Aspects of the subject disclosure may include, for example, receiving information defining an attribute of interest for the impression, wherein the attribute of interest comprises a plurality of categories of values, and receiving information defining a respective probability for each respective value of the plurality of categories of values for the impression. Further, information about current values of the plurality of categories for the attribute of interest may be received and a pacing value may be determined based on the respective probability for each respective value of the plurality of categories of values, along with the information about current values the plurality of categories for the attribute of interest. A respective bid value of a bid may be adjusted using the pacing value and the adjusted bid value may be used in an auction to fill the impression. This permits automatic detection and correction of an inadvertent skew introduced when serving ads and other content.