Abstract: An AI-based system and method for providing warning of potential health concerns. The invention involves receiving patient information from various sources, including one or more of sensor data, patient-reported symptoms, and medical records. The patient information is processed using AI models to identify potential health concerns. The AI models may identify user-specific patterns and/or metrics associated with potential health concerns. Tiered alerts may be generated and provided to a user based on the AI analysis. Recommended actions may be generated and provided to the user based on the alert.

Abstract: A method of displaying medical information, includes: displaying a first interface; determining a target patient in response to at least a first operation of a user on the first interface; displaying a second interface; and determining a target index item in response to a second operation of the user on the second interface, and displaying medical information of the target patient matched with the target index item. The second interface displayed in a first display mode presents at least one first index item and a setting option of first index item display setting; the method further includes: displaying a first index item display setting interface that presents all added first index items and check boxes, in response to an operation of the user on the setting option; and presenting an operation result on the second interface in response to an operation of the user on any check box.

Abstract: A sponge counting system for maintaining an inventory of articles used during a medical or surgical procedure, where, in the event an article for which the status needs to be reconciled is left in a patient, the system generates a record that the article is in a partially reconciled state and when a subsequent procedure is performed, the scanner employed during the procedure has the records of the partially reconciled articles associated with the patient.

Abstract: A property analyzer device may include (1) a receiver configured to receive property identification information from a mobile device, the received property identification information including a picture of the property and/or a property location; (2) a retriever configured to retrieve property-related information from multiple property sources (such as public record databases, websites, or an internal company database) based upon the received property identification information; (3) a processor configured to consolidate the retrieved property-related information into a consolidated property-related image of the property; and (4) a transmitter configured to transmit the consolidated property-related image to the mobile device for review by a user.

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: Systems and methods for an e-commerce health care marketplace are provided. In one embodiment, a method comprises, responsive to a query from a user, retrieving from a database a list of responses comprising one or more health care providers offering one or more health care services at a provider-supplied price; filtering the list of responses based on a geographic location included in the query; providing, for display, the filtered list of responses; receiving a payment from the user for a response selected from the filtered list of responses; automatically sending a notification of the payment to a provider associated with the selected response; and responsive to receiving an order fulfillment notification from the provider, automatically providing the payment to the provider. In this way, health care consumers may make informed purchasing decisions when shopping for health care services and health care providers may receive prompt payment for services delivered.

Abstract: Techniques for addressing various technical problems associated with managing medical devices and data related to medical devices, for instance medical implants in a graphics case or medical device kit, are described herein. One or more medical device handling applications can execute on a medical device computer system. Such a computer system can include one more computing devices, such as for example a client device and a server device, that can optionally communicate with each other to send and receive information associated with medical devices. The computer system can further include a wearable device and a server device that can optionally communicate with each other to send and receive information associated with medical devices and medical device kits.

Abstract: The present disclosure provides systems and methods for automatically generating telemedicine platforms for providers. A marketplace of healthcare services and associated pricing and other terms is made available to employers, individuals, and/or health insurance companies. Employers and/or health insurance companies can select a subset of options from the marketplace to create a customizable sub-marketplace of healthcare services to offer to their employees or insureds. Providers may modify their offerings in the marketplace to fit within guidelines established by the employers or health insurance companies to be automatically included in the sub-marketplace of healthcare services.

Abstract: The present disclosure relates to an apparatus and a method for analyzing medical data based on unsupervised learning. By using a machine learning model based on an adversarial generative neural network to detect and notify anomalies in medical data, the present disclosure allows accurate and rapid reading, in addition to saving time and cost incurred by reading.

Abstract: A method to generate predictive models to automatically classify, medical or veterinary images derived from original images is disclosed. The method is computer-implemented and includes the steps: selection of at least one class of interest wherein the classes of interest characterize predictions; construction of a database containing a plurality of data structures representative of derived images and generated by processing original images in such a way that they can be used for surrogate of real biopsies with real staining media performed by means of medical imaging systems; association to the classes of interest of said data structures; and training of at least one model using the data structures on the basis of the differences in the distribution of expression levels of measured characteristics of the derived images, to classify each of the derived images in classes of interest.

Abstract: Methods, systems, and devices for physiological pattern recognition are described. A device may receive physiological data associated with a user from a wearable device. The device may determine that at least one physiological parameter associated with the received physiological data satisfies a physiological threshold associated with a pattern between the physiological threshold and a taggable event or a set of taggable events defined within an application associated with the wearable device. The device may then identify, based on the pattern, the taggable event or the set of taggable events indicating an activity the user engaged in that contributed to the at least one physiological parameter satisfying the physiological threshold, and cause a graphical user interface (GUI) of the device running the application to prompt the user to provide feedback associated with the identified taggable event or the identified set of taggable events.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for adapting digital trial to increase protocol compliance and retention. In some implementations, a system accesses (i) study data indicating a type of data to be collected in a research study and (ii) attribute data indicating attributes of participants in a cohort for the research study. The system identifies a set of technology items that are each capable of collecting the type of data indicated by the study data. The system determines a predicted level of compliance for each of the technology items in the set. The system selects a technology item for participants in the cohort to use in the research study based on the predicted levels of compliance. The system updates records for the research study to specify the selected technology item.

Abstract: A personal diabetes equipment management system can include at least one diabetes treatment device adapted for use with one or more disposable diabetes devices; a remote server system including an inventory database identifying operational diabetes treatment devices and operational disposable diabetes devices in the possession of a user; and a controller in communication with (i) the at least one diabetes treatment device over a first network connection and (ii) the remote server system over a second network connection, the controller adapted to automatically detect use of the at least one diabetes treatment device and determine an operational condition for the diabetes treatment device or the one or more disposable diabetes treatment devices based on information received from the at least one diabetes treatment device over the first network connection, the controller transmitting update information to the remote server system over the second network connection to update the inventory database.

Abstract: The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and/or dynamically identify one or more features, such as plaque and vessels, and/or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, perform computational fluid dynamics analysis, facilitate assessment of risk of heart disease and coronary artery disease, enhance drug development, determine a CAD risk factor goal, provide atherosclerosis and vascular morphology characterization, and determine indication of myocardial risk, and/or the like.

Abstract: Methods, systems, and apparatus, including computer-readable media encoded with computer program instructions, for a decentralized application ecosystem and data sharing platform. In some implementations, a system stores data for different individuals in different logical data storage areas. The system stores data indicating a set of predetermined data classifications, and for at least some of the data storage areas, the system determines and stores data classifications for data stored in an encrypted form in the data storage area. The system provides an application programming interface (API) that enables multiple different applications to access the data storage areas over a communication network. The system is configured to (i) provide access through the API to the data of data storage areas, conditioned on applications providing authorization tokens, and (ii) provide access through the API to the data classifications in the metadata that is not conditioned on providing authorization tokens.

Abstract: Embodiments relate to web applications and interfaces providing personalized access to relevant wellness resources using microservices and machine learning models. Embodiments relate to web applications and interfaces that provide recommendations based on personas computed using machine learning models. The interfaces and web applications using microservices to provide interface tools that scale to multiple users.

Abstract: Systems and methods for cardiac radioablation treatment planning are disclosed. In some examples, a computing device receives a first signal identifying a first event within a first workspace from a second computing device. The computing device determines a first action to apply to a first image displayed within a second workspace based on the first signal. The computing device generates a second image based on applying the first action to the first image within the second workspace, and displays the second image within the second workspace. In some examples, the first workspace is a radiation oncologist workspace and the second workspace is an electrophysiologist workspace. In some examples, the first workspace is an electrophysiologist oncologist workspace and the second workspace is a radiation oncologist workspace.

Abstract: A facility presentation apparatus (1) includes: a selection unit (121) for selecting, as a recommended facility, at least one medical checkup facility recommended to a medical checkup target person from a plurality of medical checkup facilities based on a medical checkup information indicating a medical checkup that is related to a healthcare and that is intended to be taken by the medical checkup target person, a medical checkup facility information (1110) related to the plurality of medical checkup facilities in each of which the medical checkup can be performed and medical chart data (1220) of the medical checkup target person; and a presentation unit (122) for presenting, to a presentation target person, a recommended facility information related to the recommended facility.

Abstract: A system includes a first database to store assessments of genomic tests; a second database to store evaluations of the assessments; one or more processors, and storage media storing instructions that, when executed, cause the processors to perform operations including: receiving information about a genomic test; sending, to a group of clinical experts, notification about availability of the information; receiving, from one or more clinical experts, assessments of the information; storing the assessments in the first database; processing the assessments by applying one or more functions on an aggregate of the assessments, including comparing an output of the functions to a threshold; determining a result indicating a status of the genomic test; and storing one or more of the result or the information about the genomic test in the second database. Consumers are enabled to access one or more of the result or the information about the genomic test.

Abstract: A system includes: one or more processing circuits including one or more memory devices coupled to one or more processors, the one or more memory devices configured to store instructions thereon that, when executed by the one or more processors, cause the one or more processors to: identify minority class data and majority class data in patient-level data, the minority class data corresponding to patients with a health failure, the majority class data corresponding to patients without the health failure; oversample the minority class data to obtain synthetic class data; automatically reduce, using a machine learning classifier, risk factor variables to a reduced set of risk factor variables based on the majority class data, the minority class data, and the synthetic class data; and provide one or more graphical user interfaces for display.

Abstract: A system for aiding a subject development of physical, mental, and/or emotional skills, subject awareness of their mind state, body state, and/or emotional state, and providing subject biofeedback includes subject-internal signal sensing devices wearable by the subject for sensing signals generated internal to the subject's body; subject-external signal sensing devices for sensing signals generated external to the subject's body; a local computing unit configured for authenticated wireless communication with the subject-internal and subject-external signal sensing devices, and presenting particular types of mind state, body state, and emotional state information to the subject, for instance, in the form of biofeedback (e.g.

Abstract: The processor displays a medical image, receives an input of a primary interpretation result by a user interpreting the medical image, displays an annotation representing the primary interpretation result, acquires an analysis result for the medical image, displays an annotation representing the analysis result, receives an input of a secondary interpretation result by the user interpreting the medical image after displaying the analysis result, and displays the annotation representing the primary interpretation result and an annotation representing the secondary interpretation result in a distinguishable manner.

Abstract: The present disclosure relates generally to providing a cellular time-series imaging, modeling, and analysis platform, and more specifically to acquiring time-series image data and using various machine learning models to model and analyze subcellular particle movements and changes in cellular positional and morphological characteristics using unsupervised embedding generation. The platform can be applied to evaluate various cellular and subcellular processes by generating summary embeddings of time-series image data that enable analysis of dynamic cellular and subcellular processes over time (e.g., the movement of particles within a cell, neurites on developing neurons, etc.) for enhanced identification of differences between cell states (e.g., between sick and healthy cells) and generation of disease models which can be used to analyze the impact of various therapeutic interventions, among other improvements described throughout.

Abstract: A biometric sensor may include a scanner configured to capture a biometric data and an adjustment mechanism configured to respond to a force applied to the biometric sensor by shifting the biometric sensor from a neutral position to an adjusted position. The adjustment mechanism may be configured to respond to the removal of the force by returning the biometric sensor to the neutral position. While the biometric sensor is in the neutral position, the scanner may be capable of capturing a biometric data of a majority of users interacting with the apparatus. Accordingly, the biometric sensor may be able to operate with minimal adjustments. The biometric sensor may be part of a dispensing cabinet such that the biometric data captured by the biometric sensor may be used to control access to the dispensing cabinet. Related methods are also disclosed.

Abstract: A system and method is provided to allow access to centralised patient data captured from a medical device across an open network to a third party. The system and method receives the request based upon patient-specific information, checks the request and allows access if the request matches stored information.

Abstract: A risk-based patient monitoring system for critical care patients combines data from multiple sources to assess the current and the future risks to the patient, thereby enabling providers to review a current patient risk profile and to continuously track a clinical trajectory. A physiology observer module in the system utilizes multiple measurements to estimate Probability Density Functions (PDF) of a number of Internal State Variables (ISVs) that describe a components of the physiology relevant to the patient treatment and condition. A clinical trajectory interpreter module in the system utilizes the estimated PDFs of ISVs to identify under which probable patient states the patient can be currently categorized and assign a probability value that the patient will be in each of the identified states. The combination of patient states and their probabilities is defined as the clinical risk to the patient.

Abstract: According to some implementations, context-based information is provided. The method can establish a first context for a user to start a process of correlation of information from multiple sources. The method can then authorize the user to access information from one or more sources of information. The method can request the first information from the one or more sources of information based on the first context. Based on the first information received from the one or more sources of information, the method can revise the first context to generate a second context. The method can use the second context to correlate second information from the one or more sources of information. The method can filter the second information for the user to determine a relevant subset of information. Eventually, the method can send the relevant subset of information to a client device associated with the user.

Abstract: A method for managing applications includes obtaining an application resolution report from an administrative system, wherein the application resolution report comprises a customer query and a response, applying a neural network algorithm on a set of tokens associated with the application resolution report to obtain a vector representation of the application resolution report, performing a probability analysis on each vector in the vector representation, based on the probability analysis, identifying an unanswered portion of the application resolution report, and in response to the unanswered portion of the application resolution report, performing a query resolution.

Abstract: Asynchronous administration and virtual proctoring of a diagnostic test, where virtual proctoring occurs at a later time and different location than the administration of the diagnostic test.

Abstract: A system provides for collaborative training in a graphically simulated virtual reality (VR) environment by causing display, by at least one participant device, a first graphical indicium controlled by a first real-time human participant and causing display, by at least one other participant device, a second graphical controlled by a second real-time human participant. A training session is conducted via virtual interaction of the first graphical indicium and the second graphical indicium in the three dimensional virtual reality environment. The first graphical indicium is displayed in the three dimensional virtual reality environment to said second real-time human participant by said at least one participant device. The second graphical indicium is displayed in the three dimensional virtual reality environment to said first real-time human participant by said at least one other participant device.

Abstract: An apparatus for data fault detection and repair is disclosed. The apparatus comprises at least a processor and a memory communicatively connected to the at least a processor. The memory instructs the processor to receive a user profile relating to a user, wherein the user profile comprises at least provider data of a user. The memory instructs the processor to generate practitioner data as a function of the user profile. The memory additionally instructs the processor to retrieve remittance data as a function of the practitioner data. The memory then instructs the processor to identify a data fault in at least one of the practitioner data and the remittance data. The memory instructs the processor to initiate a data correction action based on the identified data fault.

Abstract: A device may receive dynamic customer data and static customer data, and may calculate additional customer data based on the dynamic customer data and the static customer data. The device may process the static customer data, the dynamic customer data, and the additional customer data, with a first machine learning model, to determine a next action prediction, and may process the static customer data, the dynamic customer data, and the additional customer data, with a second machine learning model, to determine a next sequence prediction. The device may concatenate the static customer data, the dynamic customer data, the additional customer data, the next action prediction, and the next sequence prediction to generate concatenated data, and may process the concatenated data, with a plurality of machine learning models, to calculate various outputs, and may generate a recommendation for the customer based on the various outputs.

Abstract: A method and system for scanning claims data, the method comprising receiving, by a computing system, contract details associated with claims, receiving, by the computer system, prescription transactions data associated with the claims, parsing, by the computer system, the transactions data into column values, and executing, by the computer system, analytics on the parsed transactions. The analytics include comparing the parsed transactions against the contract details for accurate pricing, fees, and accepted treatment protocols concerning dose and quantity, comparing the parsed transactions with independent pricing data that is based on third-party pricing data and drug information, identifying material errors in the parsed transactions, determining withholdings from payment of the claims for a portion above a tolerance level based on the identified material errors. The method further comprising presenting, by the computer system, results of the execution of the analytics to a portal.

Abstract: Systems and methods may include obtaining data identifying a plurality of cancelled health-related appointments for a plurality of patient records stored in a database, the cancelled health-related appointments associated with a shared health event; associating each of the plurality of patient records with a risk category from a plurality of risk categories ranging from a lowest risk to a highest risk; communicating with a client computing device associated with a patient having a cancelled health-related appointment to schedule a return appointment based at least on a risk category, the communicating including receiving current health condition information of the patient; based on the current health condition information of the patient showing symptoms consistent with symptoms associated with the shared health event, identifying the patient as a potential infected patient; and performing contact tracing based at least on people that the patient has contact with while experiencing the symptoms.

Abstract: The Use Determination Risk Coverage Datastructure for On-Demand and Increased Efficiency Coverage Detection and Rebalancing Apparatuses, Processes and Systems (“UDRCD”) transforms coverage enrollment request, event signal, ACGG request, search request, props ratios calculation request, encounters build request, episodes build request, price calculation request, price range generation request, price range lookup request inputs via UDRCD components into coverage enrollment response, add-in recommendation, ACGG response, search response, props ratios calculation response, encounters build response, episodes build response, price calculation response, price range generation resp., price range lookup resp. outputs. An episodes build request datastructure identifying an encounter type is obtained. An anchor encounter datastructure is selected. A set of other encounter datastructures for the anchor encounter datastructure is determined.

Abstract: A system, method, and apparatus for universally accessible personal records provides encrypted storage of user-specific data within a personal record linked to a personal record chain of personal records. The personal record chains are stored in immutable form across a plurality of nodes that collectively function as a dispersed, redundant personal record chain data storage system. A secure QR code may act as a patient's private key, and may be scanned by any designated third party in the world who has access to the present invention. When scanned, the private key or password may decrypt the user-specific data and provide a portion or all of the same to the designated third-party. Any changes to the user-specific data within a new personal record may be immutably recorded on the personal record chain and multiple copies and chains of personal records may be stored across more than one node.

Abstract: A method of risk score comparison and analysis using wearable devices is illustrated. The method comprising receiving, at a computing device, user data associated with a first user, generating, using the computing device, a first risk score as a function of the user data, and matching, using the computing device, the first user to a second user having a second risk score as a function of user data associated with the second user. Matching the users comprises extracting, from the first risk score, a plurality of first risk score content elements, extracting, from the second risk score, a plurality of second risk score content elements, and matching the plurality of first risk score elements to the plurality of second risk score elements.

Abstract: A tool for assessing treatment options within a risk-benefit space (plotting risk against benefit) and provides a superimposed boundary indicating patient risk-benefit preference for assessment of these options. The patient risk-benefit preference can be used to identify a preferred treatment option, and interactive controls can be provided to change risk-benefit preference, risk categories, benefit categories, disease type, and the like.

Abstract: The disclosure provides systems, methods and machine readable programs for isolation of data. In some implementations, this is performed on a healthcare information system (HCIS). It will be noted, however, that the disclosed embodiments can be used for different fields of endeavor, and for data other than medical patient data. After capturing data elements, such as patient records, the system automatically reviews and can extract the data elements in an isolated location, generates and stores reports, encrypts the reports, and sends them to multiple designated workstations and devices throughout a network at regular intervals to ensure that the most recent patient data is captured. After a compromising event, such as a system outage or a cyberattack, the updated patent data can be accessed locally by way of a locally installed client program.

Abstract: A method for concurrently handling multiple artifact types includes displaying a multi-artifact handling user interface for concurrently handling a corpus of exception artifacts and a corpus of validated artifacts, wherein the multi-artifact handling user interface includes: a first dynamic artifact user interface component that displays the corpus of exception artifacts in an editable state during a first period, a second dynamic artifact user interface component that displays the corpus of validated artifacts in an un-editable state during the first period, and a transition control toggle button that is selectable to transition: the first dynamic artifact user interface component from displaying the corpus of exception artifacts to displaying the corpus of validated artifacts during a second period, and the second dynamic artifact user interface component from displaying the corpus of validated artifacts to displaying the corpus of exception artifacts during the second period.

Abstract: Systems and methods for automatically processing prescription refills and transfers are disclosed. According to certain aspects, a server associated with a pharmacy may receive, from an electronic device, a message including a digital image depicting a container of a prescription. The server may analyze the digital image to identify a set of visual identifiers depicted in the digital image. Based on the set of visual identifiers, the server may determine whether the prescription is associated with the pharmacy and, based on the determination, may facilitate either a refill of the prescription or a transfer of the prescription to the pharmacy.

Abstract: The application relates to devices and methods for determining an administration regimen of a drug to a subject. Determining an administration regimen for a subject comprises computing the amount of drug to be administered to the subject per elemental period of time, and determining and evaluating combinations of at least two dosage forms that can be used to administered the amount of drug, against at least two different criteria. The methods of the invention find applications in the selection of administration regimen for drugs that are available in multiple dosage forms, and especially drugs that are administered routinely over prolonged periods, such as e.g. in the routine prophylaxis of haemophilia.

Abstract: Techniques for remote monitoring of a patient and corresponding medical device(s) are described. The remote monitoring comprises determining identification data and identifying implantable medical device (IMD) information, initiating an imaging device and determining an imaging program, receiving one or more frames of image data including image(s) of an implantation site, identifying an abnormality at the implantation site, triggering a supplemental image capture mode, receiving one or more supplemental images of the implantation site, and outputting the one or more supplemental images of the implantation site.

Abstract: A server includes: a communication device configured to acquire information on a user who is to receive a physical exam, the information including a residence of the user and an examination item of the user; and one or more processors configured to determine a travel schedule of a plurality of vehicles each configured to perform one or more of a plurality of the examination items of the physical exam, the travel schedule being a schedule for the vehicles that offer the examination items of a plurality of the users to travel around the residences of the users.

Abstract: Aspects of the present disclosure describe systems and methods that enable a user of a computing device (e.g., a smartphone, tablet, etc.) to interact with a wearable device worn by the user. In one embodiment, the computing device provides a touchscreen-based graphical user interface (GUI). The GUI displays a three-quarter view of a plurality of icons arranged in a ring, where each of the icons is associated with a respective health/fitness parameter (e.g., heart rate, blood oxygen saturation, etc.). The GUI enables the user to interact with the wearable device through the computing device, via swiping gestures, presses of icons, and press-and-holds of the icons.

Abstract: A system for electronic patient care includes a gateway and a medical device. The gateway is configured to provide at least one of a routing functionality, a medical device software update, and a web service. The medical device is configured to operatively communicate with the gateway using the web service.

Abstract: Systems and methods for determining predictive model types are provided. A method may include generating a predictive model for a web page of a web site, wherein the web page includes a configuration defining one or more objects presented with the web page, and wherein each object is associated with a predictive model. The method may include determining one or more predictive model types that are associated with the predictive model, determining one or more performance indicators that correspond to each determined predictive model type, wherein performance indicators represent one or more benefits to a website, selecting a predictive model type of the predictive model out of the one or more predictive model types, wherein the predictive model type is selected based on a performance indicator corresponding to the selected predictive model type, and determining a configuration of the web page using the selected predictive model type of the predictive model.

Abstract: A computer-implemented method includes receiving design and/or engineering data (D/E data) corresponding to a prototype representation of a product and transmitting one or more inputs derived from the D/E data to one or more digital engineering tools for processing. The method also includes receiving engineering-related data outputs from the one or more digital engineering tools and receiving data corresponding to one or more common validation and verification (V&V products). The method further includes identifying one or more requirements for the product based on the data corresponding to the one or more common V&V products; determining whether or not the one or more requirements have been satisfied; and presenting information corresponding to the engineering-related data outputs and/or the data corresponding to the one or more common V&V products. The method also includes receiving instructions from the user device, and performing one or more manipulations of the D/E data.

Abstract: In an approach to monitoring and querying autobiographical events, one or more computer processors receive data from one or more sensors associated with a user. Based on the received data from the one or more sensors, one or more computer processors detect an autobiographical event associated with the user. One or more computer processors convert the received data from the one or more sensors into one or more observations associated with the autobiographical event. One or more computer processors convert the one or more observations into one or more questions associated with the one or more observations. One or more computer processors query the user with the one or more questions. One or more computer processors receive at least one response to the one or more questions from the user.

Abstract: Techniques are disclosed for coordinating interactions between a user device and a plurality of accessory devices. In one example, a user device receives information identifying one or more accessory devices in communication with the user device. The user device may implement accessory interaction instances for each of the identified accessories. A first accessory interaction instance can be associated with a first accessory among the identified accessories and receive a first audio input from the first accessory corresponding to a user request. The first accessory interaction instance can process a portion of the received audio input and receive a first response from a server computer. The user device may then transmit the first response to the first accessory device.