Abstract: A method for processing a plurality of radiation protective garments includes receiving a plurality of radiation protective garments from a customer, scanning an identification tag of each received radiation protective garment to identify electronic identification data of each radiation protective garment, and automatically identifying a subset of the radiation protective garments that require performance testing by using the identification data to access a file history of each scanned radiation protective garment, the file history including a performance testing schedule. The method further includes using an x-ray scanning system to scan the subset of the radiation protective garments and to generate x-ray image data, automatically updating the file histories of the subset of the radiation protective garments to include the corresponding x-ray image data, and identifying defects in the corresponding radiation protective garment based on the x-ray image data.

Abstract: Identification information is received at a transaction machine. The identification information is associated with a user associated with an account. Using an activity profile of the user, a determination is made to enable chained transactions during the user's use of the transaction machine. A sequence of user interfaces to display to the user is generated enabling the user to chain transactions based on the activity profile.

Abstract: A data hub for servicing data hub dependent data consumers includes a persistent storage and a data validator. The persistent storage stores validated data. The data validator obtains a data validation request; in response to obtaining the data validation request: imports data from a data aggregator to obtain the validated data; performs a continuity analysis of the validated data to generate a data deviation report; and provides a portion of the validated data to one of the data hub dependent data consumers.

Abstract: One embodiment provides a method, including: receiving, from a healthcare enterprise system, a notification indicating a need for at least one medical resource during a predetermined time frame at a predetermined facility within the healthcare enterprise system; determining that the indicated need is unavailable during at least one of: the predetermined time frame and the predetermined facility; identifying, based upon the indicated need being unavailable, at least one action to be performed to supply the at least one medical resource; and performing the at least one action. Other aspects are described and claimed.

Abstract: A system for cryptographically secured outputs from telemedicine sessions includes a computing device at a first location, the computing device configured to initiate a secure communication interface between the computing device and a client device associated with a human subject and at a second location, receive, from at least a remote sensor at the second location, a plurality of current biological data associated with the human subject, input, using the secure communication interface, an identifier of a biochemical element, determine, as a function of the plurality of current biological data, a tolerability of the biochemical element, and generate a digitally signed authorization datum as a function of the determination.

Abstract: Disclosed are information transmission method, apparatus, device and medium for medical imaging application. The method includes: an imaging device corresponding to an application authorization request is determined according to the received application authorization request, and an application permission profile of the imaging device is acquired; and a medical imaging application corresponding to the imaging device is determined according to the application permission profile of the imaging device, and medical imaging application information corresponding to the medical imaging application is transmitted to the imaging device.

Abstract: Described are web-based clinical data stores, mobile clinician applications, web-based patient portals, and aggregated decision engines comprising: a translation module configured to express aggregated electronic medical records in a format that is human-readable and accessible to an inference engine and/or a machine learning algorithm; a notation module configured to express relationships between treatment steps to generate human-readable diagrams and to transmit the diagrams as instructions to the inference engine or the machine learning algorithm; an encryption-based decentralized zero-trust de-identification and anonymization module to protect private patient information when releasing records for research purposes outside the treating physician’s protected network; an inference engine configured to receive inputs from the translated medical records of a patient and a subset of interlinked treatment steps selected by the treating physician to generate outputs comprising predictions and probabilities; and

Abstract: The computer implemented method makes it possible to discern, for a variety of sensations, whether a sensation is a pleasant (comfortable) sensation or a sensation of discomfort. A classifier is generated for discerning the stress or comfort/discomfort of a subject. The method comprising: a) imparting, to a subject, different stimuli under the same environment, and obtaining brain wave data or analysis data thereof for the environment; b) correlating a reaction of the subject relating to the stimulation and the difference of the brain wave data or analysis data thereof obtained under the environment; c) generating a classifier for discerning the stress or comfort/discomfort of the subject, on the basis of the correlation; and d) performing comfort/discomfort discernment using a basic step for amplifying a sample from a small stimulation.

Abstract: There is provided a method comprising: mapping patient-specific medications (mapped to active ingredients) and patient-specific parameters of a patient to a mapping data-structure that maps between medications, predicted medical outcomes, and patient parameters, each relationship-mapping includes one medication (active ingredient), one predicted medical outcome, one patient parameter, one risk score, a predicted medical outcome(s) denoting a medication induced event of a corresponding mapped medication, the patient parameter(s) including: a medication influencing factor (for an active ingredient, selected from primary parameters affecting the corresponding mapped medication: blood level, absorption, distribution, metabolism, elimination) directly affecting the corresponding mapped medication which affects the medication induced event, and/or an event influencing factor directly affecting the medication induced event, and computing an aggregated risk score for each respective predicted medical outcome by aggre

Abstract: A multi-dimensional system for assessing, coding, quantifying, displaying, integrating and communicating information relating to patient health and perioperative risk includes a mechanism for inputting patient information and providing an output relating to the patient health and perioperative risk. The output includes a score for the physical condition of the patient, a score for the degree of expected surgical risk and invasiveness, a score for other vital assessments of perioperative complexity, and alphanumeric codes for other factors that may require special preoperative preparation and planning.

Abstract: Systems and methods for using machine learning models to predict risks posed to patients having various respiratory conditions. According to certain aspects, an electronic device may generate a machine learning model using training data indicating various patient and medication data. The electronic device may access a set of real-world patient data and input the real-world patient data into the machine learning model. An output of the machine learning model may indicate a likelihood of the patients needing intervention care, and the electronic device may facilitate outreach efforts to certain patients in an attempt to decrease this likelihood.

Abstract: Aspects of the technology described herein relate to ultrasound data collection using tele-medicine. An instructor electronic device may generate for display an instructor augmented reality interface and receive, on the instructor augmented reality interface, an instruction for moving an ultrasound imaging device. The instructor augmented reality interface may include a video showing the ultrasound imaging device and a superposition of arrows on the video, where each of the arrows corresponds to a possible instruction for moving the ultrasound imaging device. A user electronic device may receive, from the instructor electronic device, an instruction for moving an ultrasound imaging device, and generate for display, on a user augmented reality interface shown on the user electronic device, the instruction for moving the ultrasound imaging device.

Abstract: A distributed, online machine learning system is presented. Contemplated systems include many private data servers, each having local private data. Researchers can request that relevant private data servers train implementations of machine learning algorithms on their local private data without requiring de-identification of the private data or without exposing the private data to unauthorized computing systems. The private data servers also generate synthetic or proxy data according to the data distributions of the actual data. The servers then use the proxy data to train proxy models. When the proxy models are sufficiently similar to the trained actual models, the proxy data, proxy model parameters, or other learned knowledge can be transmitted to one or more non-private computing devices. The learned knowledge from many private data servers can then be aggregated into one or more trained global models without exposing private data.

Abstract: A medical treatment server is configured to reduce load on physicians for work other than examination and treatment. The server is configured to send recruiting conditions and in response receive undertaking conditions that are related to a physician who does not belong to the medical facility. A controller decides whether to appoint the physician depending on whether a pickup location included in the received undertaking conditions is apart from a location of the medical facility by a distance equal to or greater than a threshold. Upon deciding to appoint the physician, the controller determines a pickup location included in the undertaking conditions to be a stopover point.

Abstract: The following relates generally to facilitating delivery of prescription medication. In some embodiments, a pharmacy computer system: (i) receives a prescription, (ii) reviews the prescription, and (iii) sends the prescription to an intermediate cloud layer. The intermediate cloud layer may then determine a warehouse to send the prescription to based on at least one criteria. The at least one criteria may comprise at least one of: (i) a health insurance plan; (ii) whether the medication comprises a controlled substance; (iii) whether the medication must be refrigerated during shipping; (iv) a warehouse shipping address; or (v) a fulfillment cap of a warehouse.

Abstract: A method includes receiving a data processing request at a computing system. The data processing request identifies data to be compared to sets of criteria according to a predefined sequence of the sets that is defined by a non-variant logic process. The method also includes determining whether the request is to be processed according to a variant logic process that defines a modified sequence of the criteria sets than the non-variant logic process. The method also includes dynamically altering the predefined sequence of the criteria sets to the modified sequence responsive to determining that the request is to be processed using the variant logic process, comparing the data identified by the request with the criteria sets according to the modified sequence, and processing the data according to the criteria sets of criteria in the modified sequence.

Abstract: A computer-implemented trading platform, system, and method are provided for facilitating the trading and accounting for health quality offsets. So-called “health quality credits” related to emissions of ‘potentially avoidable complications’ (PACs) or ‘potentially avoidable mortality’ (PAMs). Emissions trading or “cap-and-trade” is an administrative approach used to control emissions that degrade public-goods assets by providing economic incentives for achieving and sustaining economically significant reductions in the emissions of pollutants that impair public goods such as clean air or health.

Abstract: A plurality of events are extracted from a plurality of electronic health records associated with a first patient. The extracted plurality of events are analyzed to identify a plurality of stimulus events and a plurality of response events. An association between a first stimulus event and a first response event is determined. A stimulus-response (SR) variable is generated for the first patient based at least in part on the determined association, and the generated SR variable is integrated into one or more predictive cognitive models.

Abstract: A biometric status sensing media therapy system for the therapeutic care of a Consumer. The system has a media therapy device provided with a central processing unit, audio and/or visual input/output and wireless communications. The media therapy device is provided in wireless communication with a cloud computing and data storage resource. A collection of media files, transmitted to the media therapy device from the cloud computing and data storage resource for play by the media therapy device, is played by the media therapy device according to a pre-configured collection of rules based upon a time schedule and/or a biometric status of the consumer.

Abstract: This patent disclosure provides various verification techniques to ensure that anonymized surgical procedure videos are indeed free of any personally-identifiable information (PII). In a particular aspect, a process for verifying that an anonymized surgical procedure video is free of PII is disclosed. This process can begin by receiving a surgical video corresponding to a surgery. The process next removes personally-identifiable information (PII) from the surgical video to generate an anonymized surgical video. Next, the process selects a set of verification video segments from the anonymized surgical procedure video. The process subsequently determines whether each segment in the set of verification video segments is free of PII. If so, the process replaces the surgical video with the anonymized surgical video for storage. If not, the process performs additional PII removal steps on the anonymized surgical video to generate an updated anonymized surgical procedure video.

Abstract: An information processing apparatus includes a processor configured to display a screen on which plural destination candidates and a GUI component that receives an instruction to end selection are displayed, receive the selection of the destination from plural destination candidates displayed on the screen, end the display of the screen in a case where the instruction to end the selection is received by the GUI component, and end the display of the screen even though the instruction to end the selection is not received by the GUI component, when a single or plural selected destinations satisfy a predetermined condition.

Abstract: An express delivery conveying device is controlled by a controller and moves back and forth between a storage and pickup port and storage units to realize warehousing-in and warehousing-out operations of express deliveries. A plurality of temporary storage units are provided on the storage racks. Temporary storage cabinet doors corresponding to the temporary storage units one to one are provided on the case. The temporary storage cabinet doors are electrically connected with the controller and are capable of being opened or closed under the control of the controller for temporary storage or pickup of express deliveries. The express delivery conveying device is capable of conveying express deliveries in the temporary storage units to the storage units or conveying express deliveries in the storage units to the temporary storage units under the control of the controller.

Abstract: A system and method for generating a metabolic dysfunction nourishment program comprises a computing device configured to obtain a metabolic component as a function of a user metabolic system, identify a metabolic panel as a function of the metabolic component, wherein identifying further comprises receiving a status grading, ascertaining a metabolic functional goal, and identifying the metabolic panel as a function of the status grading, metabolic functional goal, and metabolic component using a metabolic machine-learning model, determine an edible as a function of the metabolic panel, wherein determining further comprises receiving a nourishment composition from an edible directory, producing a nourishment demand as a function of the metabolic panel, and determining the edible as a function of the nourishment composition and nourishment demand using an edible machine-learning model, and generate a nourishment program as a function of the edible and a metabolic outcome using a nourishment machine-learning mo

Abstract: A system for generating a supplement instruction set using artificial intelligence. The system includes at least a server wherein the at least a server is designed and configured to receive training data. The system includes a diagnostic engine operating on the at least a server designed and configured to record at least a biological extraction from a user and generate a diagnostic output based on the at least a biological extraction and training data. The system includes a plan generator module operating on the at least a server designed and configured to generate a comprehensive instruction set associated with the user as a function of the diagnostic output. The system includes a supplement plan generator module operating on the at least a server designed and configured to generate a supplement instruction set as a function of the comprehensive instruction set.

Abstract: Devices, systems, and methods for providing per-procedure pricing for a product are disclosed. A system includes a facility monitoring system having one or more data gathering devices collecting data pertaining to use of a plurality of units of the product over a period of time. The system also includes a product provider system communicatively coupled to the facility monitoring system and including a determination device that receives the data and determines a total average number of units per procedure for the product, the determination device including a machine learning component trained to determine an expected number of units per procedure and determine a plurality of pricing tiers that establish a price is used to calculate an adjusted per-procedure price for the product over the period of time, the determination device issuing a rebate if the adjusted per-procedure price is less than an upfront cost paid.

Abstract: The method includes receiving a request for relevant subject health information associated with a subject for a clinical trial; matching a subject identifier associated with the subject to a patient identifier; transmitting a health data query comprising the patient identifier to at least one of an electronic health record (EHR) system or a data transfer application programming interface to obtain EHR data associated with the subject; receiving the EHR data associated with the patient identifier; parsing the EHR data into relevant EHR data and nonrelevant EHR data; applying an EDC mapping function to the relevant EHR data; and/or producing EDC clinical data in a final standardized data set usable in an EDC system in response to the applying the EDC mapping function to the relevant EHR data.

Abstract: Home telematics devices are engineered to identify unique device signatures for all appliances, fixtures, and so on that generate voltage noise, pressure waves, and acoustic responses throughout a property. The device signatures comprise the inventory of devices in the insured's home and are used to create an electronic record of the devices that assists him in filing a claim with an insurer that is quick and easy after a theft or total loss. Using the device signatures provided by home telematics devices' sensing an itemization technology, fraud detection is also possible. Additionally, analytics software predicts possible failure by analyzing the device signatures.

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: An artificial intelligence system for generating land responses from biological extractions. The artificial intelligence system includes a computing device, configured to retrieve, a biological extraction pertaining to a user, wherein the biological extraction contains at least an element of physiological data. The computing device is configured to locate, a land descriptor wherein the land descriptor identifies a property. The computing device is configured to generate, a land machine-learning model, wherein the land machine-learning model utilizes the biological extraction as an input and outputs property elements. The computing device is configured to determine the suitability of the property utilizing the output property elements.

Abstract: In general, this disclosure describes techniques for a health management system that schedules medical appointments based on a dialog with a user (e.g., a patient), clinical guideline information, and/or other information. The health management system may engage in a dialog with the user, the dialog including requests from the health management system for audio input to the user device and audio input from the user in response to each request. The health management system may extract information from the audio input and compare the extracted information to clinical guideline information to determine one or more probable health conditions of the user. The health management system may determine a time allotment, identify a health care provider type and a platform for a medical appointment based on the one or more probable health conditions.

Abstract: Systems and methods to provide augmented and virtual reality implementations of information sources useful as learning and discovery tools are disclosed. A computer implemented method and programming product which provides enhanced visualization of various information resources useful for at least teaching and learning, drug research and discovery, and precision and personalized medicine. A computer-implemented method and programming product for providing medication and/or appointment reminder, alerts, and education is also provided. These cross platform software applications use graphic processing unit (GPU) accelerated big data analysis algorithms, and innovative natural language processing (NLP) algorithms to improve user experiences and access to the information resources.

Abstract: A method for a multi-channel search includes receiving a specific post selection submitted in a first channel and query text associated with the specific post in the first channel, where the query text includes one or more words for performing a query evaluation. The method receives a query location which includes a plurality of channels for performing the query evaluation. Responsive to extracting one or more ranking factors from the specific post selection, the method performs the query evaluation at the query location to collect a plurality of potential matching posts based on the one or more ranking factors. The method reorders the plurality of potential matches according to a plurality of determined scores for the plurality of potential matches. The method displays two-dimensional search results based on a timeline and channel relevancy, where the plurality of channels is ordered according to channel relevancy compared to the first channel.

Abstract: Methods, apparatus, systems, computing devices, computing entities, and/or the like for a clinical resource management system are provided. An example clinical resource management system may determine a first model service value point associated with a first time period and a second model service value point associated with a second time period, calculate a first projected service value point and a second projected service value point, and calculate an aggregated service value point balance.

Abstract: A peer-review flagging system is operable to train a computer vision model and to generate automated assessment data by performing an inference function on a first medical scan by utilizing the computer vision model. Human assessment data is generated based on a first medical report written by a medical professional in conjunction with review of the first medical scan. First consensus data is generated based on the automated assessment data, the human assessment data, and a first threshold, and the first medical scan is determined to be flagged based on the first consensus data. A second threshold is selected use in generating second consensus data for a second medical scan and a second medical report written by the medical professional in conjunction with review of the second medical scan, and is selected to be stricter than the first threshold based on determining to flag the first medical scan.

Abstract: An apparatus and method is disclosed for generating health indicator data such as behavioral health indicators, de facto health indicators, and composite health indicators. Behavioral health indicators represent a degree to which the one or more persons associated with the payment transaction data make health-conscious decisions and are generated based on payment transaction data. Behavioral health indicators may also be generated using a food behavior health indicator, a lifestyle health indicator, an activity health indicator, and a body metric health indicator. De facto health indicators represent a degree to which the one or more persons are observably healthy and are generated based on health sector data. Composite health indicators represent a holistic and complete picture of current and future health and are generated based on behavioral health indicator and de facto health indicator.

Abstract: A method and system may provide an automated pharmacy processing system which automatically processes an electronic prescription by converting the electronic prescription into a pharmacy prescription record. In this way, an electronic prescription can be filled by a pharmacist without manual data entry. The systems, methods, and apparatuses may generate confirmation and verification requests based on electronic prescription data.

Abstract: There is a need for more effective and efficient predictive data analysis solutions. This need can be addressed by, for example, obtaining prediction input objects each associated with a predictive entity; performing iterations of an iterative cohort generation routine until a qualified predictive model is identified, wherein each iteration comprises determining one or more predictive cohorts for predictive entities based on the prediction input objects, generating a predictive model based on the predictive cohorts, performing a predictive inference based on the predictive model to generate a current iteration prediction, generating a predictive score based on the current iteration prediction, and determining whether the predictive model is the qualified predictive model based on whether the predictive score exceeds a predictive score threshold; and performing cohort-based predictive data analysis based on the qualified predictive model to generate a respective final prediction for each predictive entity.

Abstract: A system comprising a database containing user data, an interface engine that communicates with the database and parses the data, an application server that communicates with the interface engine, a user device that receives and displays the parsed data, receives user-provided information, and sends the user-provided information to the application server, wherein the application server automatically updates the user device display with the parsed data, receives user-provided information from said user device, and provides the user-provided information to the interface engine for updating the database.

Abstract: Systems, methods, and computer-readable storage media for how to select, suggest, and modify content, which is relevant to the user, on a user interface. The system does this by combining physiological data, location data, and historical data to create a multi-dimensional user state of the user, where at least one dimension is time. The system also identifies available content, ranks the available content based on the multi-dimensional user state, and transmits a user interface a suggestion for a top-ranked item within the ranked list of available content.

Abstract: A method for a patient to identify and select a health care provider to service the patient's particular need and subsequently schedule an appointment with the health care provider is described. Data regarding the patient and data regarding the provider are used to determine matching physicians to the patient's needs. The patient has the ability to select among matching physicians, rank ordered based on a combination of patient and other criteria, and the patient is offered an average rating for each physician, where the rating is based on reliable reviews of at least other patients.

Abstract: A system and method for verifying over a computer network the legitimacy of a participant in communications by authenticating the participant's actual name and address, and in some embodiments also authenticating the participant's ownership of corporate stock. At least one processor is provided that is configured to verify participant identity by authenticating the participant's actual name and address through any one of several offered alternative means, including from subscription, membership or credit card information, or confirmation of USPS mail delivery. A processor may also be configured to verify stock ownership through whatever records suit the participant, including SEC records, corporate transfer agent records, electronic copies of ownership records or online custodial account records. The independent processes of identity and ownership verification may be coordinated to verify investor status in communications.

Abstract: A medical information processing apparatus according to an embodiment includes processing circuitry and a hardware display device. The processing circuitry generates a plurality of sets of virtual patient information in each of which patient attribute information, at least one medical action, at least one medical event, and at least one test result are associated with one another; receives a user's operation of selecting one of the sets of virtual patient information; and causes the hardware display device to display the event and the medical action included in the selected piece of virtual patient information in time series. The hardware display device displays, under control of the processing circuitry, the event and the medical action included in the selected piece of virtual patient information in time series.

Abstract: Various implementations disclosed herein include devices, systems, and methods for indicating whether a conversation regarding a subject satisfies a boundary condition associated with the subject. In various implementations, a device includes a display, a processor and a non-transitory memory. In some implementations, the method includes detecting a conversation in which a person is conveying information regarding a subject. In some implementations, the method includes determining whether the information satisfies a boundary condition associated with the subject. In some implementations, the boundary condition is defined by a set of one or more content items related to the subject. In some implementations, the method includes displaying an indicator that indicates whether or not the information being conveyed by the person satisfies the boundary condition associated with the subject.

Abstract: Aspects of the technology include methods and systems for performing remote adjustments to a ventilator with a remote device. A remote device may include an interactive display including a remote position indicator. The remote position indicator may be associated or correlated with a local ventilator position indicator. A selection and/or adjustment at the remote device (or an activation at the remote device) at the interactive display may result in a selection, adjustment, or activation at the ventilator. Information may be transmitted to the ventilator from the remote device to remotely adjust the ventilator. Additionally or alternatively, the remote device may additionally display a view of, or replicate, some or all portions of the ventilator display.

Abstract: A method for measuring physician efficiency and patient health risk stratification is disclosed. Episodes of care are formed from medical claims data and an output process is performed. Physicians are assigned to report groups, and eligible physicians and episode assignments are determined. Condition-specific episode statistics and weighted episode statistics are calculated, from which physician efficiency scores are determined.

Abstract: In some examples, unstructured data is evaluated using a natural language processing model to output a set of subjective indicators. These subjective indicators are scored using a predictive model to determine whether a dependent user has or is likely to develop a particular condition such as a cellular abnormality.

Abstract: The present disclosure refers to a method for operating a system, the system comprising a medical device (1), having at least one of a sensor device for sensing medical data and a medication delivery device for delivering medication, a portable electronic consumer device (2), an intermediate device (3) provided with a first communication protocol for data communication with the portable electronic consumer device (2) and a second communication protocol for data communication with the medical device (1), and a control module (6) provided in the intermediate device (3), the method comprising, in the control module (6), receiving control data from the portable electronic consumer device (2) by a receiving functionality provided in the control module (6), the control data being configured for controlling operation of the medical device (1), determining whether the control data can be confirmed by a confirmation functionality provided in the control module (6), and if the control data are confirmed, transmitting t

Abstract: A location identification system analyzes information received corresponding to a device detected in a room of a patient. On detecting a location identification of the device, the system assigns the device to the location corresponding to the location identification. In embodiments, the system retrieves patient and care team information for the location. The location and patient and care team information may be communicated to a central video monitoring system.

Abstract: Methods and supporting systems are disclosed herein that when applied to enterprise applications built on various enterprise application development platforms are translated from the high-level platform-specific language into applications programmed using low-code objects that are deployable as edge-ready, cloud-based applications.

Abstract: Systems and methods of managing content and content requests are described. A data store of profiles of potential content contributors is provided. A request from a first source for content comprising content criteria is received, the content criteria comprising content contributor characteristics and content subject matter. Based on the content contributor characteristics and the profiles, at least a first potential content contributor is identified. At least a portion of the content request content criteria is transmitted to the first potential content contributor. If recorded content is received from the first content contributor, the first source is provided with access to the received recorded content. At least partly in response to acceptance by the first source of the received recorded content, the first source is enabled to publish the accepted received recorded content.