Abstract: Systems and methods of a cipher-based system for tracking a patient within a clinical pharmacy workflow, the system includes providing a meshed network having patient devices that communicate patient data with aggregators. The patient devices and aggregators located within the space form a meshed network, the aggregators communicate data to a computer in communication with a cloud-based network. A patient device with a mobile application wirelessly communicates with an internet system in communication with the cloud-based network. Receiving by the computer, information about the user patient device entering the meshed network by wireless tags positioned within the space.

Abstract: Method and apparatus for operating home appliances, the method includes identifying a home appliance in a field view of a camera of an augmented reality (AR) device; generating, based on the home appliance that was identified, a control interface to overlay on a screen of the AR device or to present within an augmented view of a user that carries the AR device; detecting a selection by the user of control options on the control interface; and triggering the home appliance to perform an operation based on the selection.

Abstract: Embodiments for scheduling the delivery of multiple medications to a patient by a processor. Any interactions between the multiple medications or between one of the multiple medications and a type of food are considered to construct an analytical model to identify an optimized schedule for delivery of the multiple medications to the patient. The optimized schedule is adjusted in real time as additional information concerning the multiple medications and the type of food are introduced, and delivered to a dispensing device associated with the one of the multiple medications.

Abstract: Methods based on providing monitoring services and access to information to caregivers, patients with implanted pressure sensors and distributors.

Abstract: Methods, systems, and computer-readable media are provided for computer based healthcare information to automatically provide reminders to a patient to take prescription medications at the appropriate times on the patient's mobile device. The patient enters a medical record number (MRN) into the mobile device and this information is communicated to the patient's electronic medical record. The user device receives the prescription information for the MRN from the patient's electronic medical record. Utilizing the prescription information on the user's device, the user can view and set reminders to take the medication directly from the patient's mobile device.

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 system receives an electronic prescription and compares data from the electronic prescription with entries in one or more pharmacy database(s). When there is a match between the electronic prescription data and an entry in the one or more pharmacy database(s), the system populates the pharmacy prescription record with data from the matching pharmacy database entry. If all of the data fields from the pharmacy prescription record have been populated the pharmacist can fill the electronic prescription.

Abstract: Systems and methods for medical data aggregation, transformation, and presentation are provided. In one example, a method comprises sets of attributes and supplementary attributes are selectively presented as directly editable medical notes in an interface with enhanced functionality.

Abstract: A system for monitoring drug delivery including a container having a medicine, the medicine associated with a patient and a code on an outside of the container. The system also including a user device having a camera and software executing on a computer readable medium for initiating recording of a video with the camera, prompting the patient to show the code in the video and show the taking of the medicine in the video. The system further includes a computer receiving the video, the computer having a datastore with a plurality of profiles, one of the plurality of profiles being a patient profile associated with the patient and software executing on a computer readable medium for storing the video, verifying the association of the medicine and the patient, identifying movement in the video, and generating a score indicative of the likelihood the medicine was taken by the patient.

Abstract: A mechanism is provided in a data processing system to implement a personalized patient engagement engine.

Abstract: The management server includes: a storage that stores medical information including patient-identity-specific information; and a processor coupled to the storage.

Abstract: An MRI image processing and analysis system may identify instances of structure in MRI flow data, e.g., coherency, derive contours and/or clinical markers based on the identified structures. The system may be remotely located from one or more MRI acquisition systems, and perform: error detection and/or correction on MRI data sets (e.g., phase error correction, phase aliasing, signal unwrapping, and/or on other artifacts); segmentation; visualization of flow (e.g., velocity, arterial versus venous flow, shunts) superimposed on anatomical structure, quantification; verification; and/or generation of patient specific 4-D flow protocols. A protected health information (PHI) service is provided which de-identifies medical study data and allows medical providers to control PHI data, and uploads the de-identified data to an analytics service provider (ASP) system. A web application is provided which merges the PHI data with the de-identified data while keeping control of the PHI data with the medical provider.

Abstract: A delivery scheduling method includes receiving a bundle request from a user and identifying a first prescription scheduled for delivery within a date range. The method includes setting a scheduled delivery date of the first prescription as a target delivery date, identifying a set of prescriptions scheduled for delivery within a predetermined time of the target delivery date, and selecting one of the set of prescriptions as a candidate prescription. The method includes obtaining prescription parameters of the candidate prescription including a prior fill date of the candidate prescription and determining a required fill date of the candidate prescription. The method includes determining a blackout window for the candidate prescription based on a predetermined window following a prior fill date of the candidate prescription and, in response to the required fill date being after the blackout window, adjusting a delivery date of the candidate prescription to the target delivery date.

Abstract: An improved alternative therapy identification system increases the efficiency for obtaining information for alternative therapies. The alternative therapy identification system automates alternative therapy identification information from both a product level and a drug cost level. The improved alternative therapy identification system may also increase the efficiency by improving alternative therapy selection to occur at the prescriber level.

Abstract: Systems and techniques that facilitate an augmented inspector interface with targeted, context-driven algorithms are provided. In various embodiments, a magnification component can magnify a portion of a medical image. In various embodiments, a recognition component can recognize an anatomical structure depicted in the portion of the medical image. In various embodiments, a recommendation component can recommend one or more sets of computing algorithms or computing operations related to the anatomical structure. In various embodiments, a menu component can display the one or more recommended sets of computing algorithms or computing operations in a drop-down menu.

Abstract: The present disclosure pertains to a system configured to facilitate a user interface via device-on-premise detection and event generation based thereon.

Abstract: An ultrasound system with a multimedia information distribution system comprising: a video processor generating a sequence of video frames of at least the ultrasound diagnostic images of a sequence of ultrasound diagnostic images; a media editor for combining the ultrasound video frames with further audio/video data to generate multimedia data; a multimedia encoder encoding the multimedia data in the form of a multimedia file; a media streaming module receiving the said multimedia file and generating a real-time stream of the sequence of multimedia data encoded in the said multimedia file; a web server allowing access to the real-time stream of the multimedia data upon request by a remote client to access the said multimedia file. A corresponding computer implemented method is also disclosed.

Abstract: Embodiments described herein generate proximal groupings of wireless signals based upon the temporal persistence and spatial proximity of the wireless signals as observed by a plurality of observer devices. For example, a first observer device may observe a first set of wireless signals at a first timepoint and a second observer device may observe a second set of wireless signals at a second timepoint. The first observer device may again observe a third set of wireless signals at a third timepoint. Based upon these observations, a server may generate a proximal grouping a wireless signals containing a subset of the first, second, third of wireless signals based upon temporal persistence and spatial proximity. Temporal persistence may be based upon the repeated observations of the subset of wireless signals across different timepoints and the spatial proximity may be based upon the proximity of locations of the observer devices.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for geofencing and location tracking for predicting and limiting disease exposure. In some implementations, location tracking data is received indicating locations of user devices over time. Location tags specifying visits of the user devices to different locations indicated by the location tracking data are defined. A geofence is assigned to each of the location tags to specify a geofenced area corresponding to the location tag. Disease transmission scores are assigned to first location tags representing visits of a first user. A disease exposure score is determined for a second user whose user device is determined, based on the location tracking data, to have entered at least one of the geofenced areas corresponding to the first location tags.

Abstract: Apparatus for identifying the persons participating in an encounter, where identifying information for each of a plurality of registered human individuals is stored in a database, calls for capturing local images of an individual and determining whether this individual is the same as one of the registered individuals whose identifying information is stored in the database. The identifying information stored in the database includes at least one image of a unique, visually observable biologic identifier on a body portion of each registered individual. The accuracy of user identification is enhanced by allowing the sender of information to supply visual content which modulates the appearance of a biologic identifier of the user. Utilization of the system for the document of critical encounters such as medical events is provided.

Abstract: Systems and methods have been developed to increase user compliance and adherence to respiratory therapy devices. For instance, in some examples the disclosed technology may monitor usage data output from a respiratory therapy device to determine, based on the trends of usage, when a user is likely to terminate or reduce usage within a specified time window. Flagging a user may also trigger further actions to automatically intervene before the user terminates engagement with the service.

Abstract: In some implementations, a system dynamically adjusts an electronic form of an application based on user data and form data specified for the electronic form. Form data that specifies characteristics of the electronic form is initially received by a computing device. The form data specifies one or more rules configured to vary the content of the electronic form that is presented for different users. User data indicating characteristics of a user is then obtained by the computing device. An interactive element is then selected from among a set of multiple interactive elements based on the received user data and the rules in the received form data. A view of the electronic form is customized for the user by including, in the customized view, the interactive element. The view of the customized electronic form is then displayed by the computing device.

Abstract: A method is provided for lowering blood sugar in a subject in need thereof by administering a biguanide anti-hyperglycemic pharmaceutical composition to a subject qualified for over-the-counter access to the biguanide anti-hyperglycemic pharmaceutical composition. In some embodiments, the biguanide anti-hyperglycemic pharmaceutical composition includes N,N-dimethylimidodicarbonimidic diamide, or a pharmaceutically acceptable salt thereof. In some embodiments, the biguanide anti-hyperglycemic pharmaceutical composition includes metformin hydrochloride.

Abstract: A data transfer device including an enclosure with a plurality of input/output connection ports, a processor, a memory including a data store, and a data transfer component. The data transfer component directs the processor to transfer data from an external data source via at least one of the plurality of input/output connection ports, encrypt the transferred data, store the encrypted data on the data store, responsive to a successful transfer of the encrypted data to the data store, delete the data from the external data source, establish a connection to an external data storage service, responsive to a successful connection to the external data storage service, transfer the encrypted stored data to the external data storage service, responsive to a successful transfer of the encrypted stored data to the external data storage service, deleting the encrypted stored data from the data store.

Abstract: An energy saving support system according to an embodiment is configured to provide a consumer, who has an electric load to which electric energy is supplied from an electric power supply system within a house, with energy consumption-related information through a photo frame or the like. The information providing apparatus is configured to acquire an acceptability level, which stepwise indicates a degree of interest of the consumer in the energy consumption-related information, and to determine the energy consumption-related information to be newly provided to the consumer based on the acceptability level.

Abstract: A user interface for a physician or other health care provider to follow up with high-risk patients recently discharged from the emergency department (ED) and update the patient's health care record using the physician or provider's mobile or end user device is described. The user interface is generated after extracting patient detail batch information at a pre-defined time interval for one or more past patients from an electronic medical records (EMR) database or other patient information database into a medical activity tracking batch database, and constructing a real-time database from streams of real-time Health Level 7 (HL7) clinical administrative data, wherein at least one stream of real-time HL7 clinical administrative data is associated with at least one high-risk patient in a recent medical encounter and at least one stream of real-time HL7 data comprises daily schedule information associating at least one clinician with the at least one high-risk patient.

Abstract: Provided is a process including: obtaining, for a plurality of entities, entity logs, wherein: the entity logs comprise events involving the entities, a first subset of the events are actions by the entities, at least some of the actions by the entities are targeted actions, and the events are labeled according to an ontology of events having a plurality of event types; training, with one or more processors, based on the entity logs, a predictive machine learning model to predict whether an entity characterized by a set of inputs to the model will engage in a targeted action in a given geographic locale in the future; and storing the training the trained predictive machine learning model in memory.

Abstract: Certain aspects of the present disclosure provide techniques for providing an augmented reality user interface, including: receiving, by an image sensor of an electronic device, an image of a physical document; determining a document type associated with the physical document by performing image recognition on the image of the physical document; determining an augmented reality template to display on a display of the electronic device; displaying the augmented reality template on the display of the electronic device, wherein the augmented reality template is aligned in three dimensions with the physical document; determining a distance between the physical document and the electronic device; and enabling one or more interactive user interface elements within the augmented reality template displayed on the display of the electronic device if the determined distance between the physical document and the electronic device is less than a threshold distance.

Abstract: A health care system includes a server to provide a service to care for a health state of each user, and a terminal of each user. The server registers and manages user information containing at least attribute information of the user, health information, or action information as share information of a group of users in response to an operation from the terminal of the user, checks similarity between the users in the share information, determines a similar user of each of the users, and outputs share information of the similar user of the user to the terminal of the user on the basis of the check information. The health information contains time series data of one element of measurement items containing a body temperature of the user, menstruation, examination results, medication, or symptoms. The action information contains time series data of one of actions or arbitrary texts.

Abstract: A mechanism is provided in a data processing system comprising at least one processor and at least one memory, the at least one memory comprising instructions which are executed by the at least one processor and configure the processor to implement a healthcare blockchain framework for enforcing regulatory compliance in healthcare cloud solutions. The mechanism provides a healthcare blockchain framework to create, read, update, and delete elements of a healthcare compliance model supporting a dynamic allocation of cloud resources to a healthcare business network. Compliance with one or more healthcare regulations is built into the blockchain framework. Responsive to a cloud operations component within the healthcare blockchain framework attaching at least one evidence record to a compliance repository, the blockchain application stores the at least one evidence record in the compliance repository using chaincode within the healthcare blockchain framework.

Abstract: An electronic device according to various embodiments may comprise a memory in which one or more applications are installed, a communication circuit, and a processor, wherein the processor is configured to acquire audio data during execution of a designated application among the one or more applications, wherein the acquiring of audio data comprises an operation of storing, in the memory, at least a portion including multiple pieces of phoneme information among the audio data, when a designated condition is satisfied, transmit the at least portion to an external electronic device so that the external electronic device generates designated information for execution of at least one application among the one or more applications by using at least a part of the multiple pieces of phoneme information stored before the designated condition is satisfied, and on the basis of the designated information, execute the at least one application in relation to the designated application.

Abstract: An ultrasound point-of-care system receives a worksheet from a worksheet server. The worksheet is encoded as HTML that is configured to be rendered by a browser component of system software. One or more predefined JavaScript functions in the HTML provide information that is entered by a user into the worksheet and meta-data about the worksheet. System software on the medical device uses an intermediate component or code insertion to execute the JavaScript functions to retrieve the entered information and the meta-data. The system software stores the information locally and packages the retrieved information and meta-data as a DICOM file for transmission to the worksheet server when a computer communication connection to the worksheet server becomes available.

Abstract: A mechanism is provided in a data processing system comprising a processor and a memory, the memory comprising instructions that are executed by the processor to specifically configure the processor to implement a question prediction and answering engine for predicting questions a medical professional is attempting to answer. An interaction monitoring component monitors interaction of a medical professional with a patient electronic medical record (EMR). A question selection component selects a set of questions the medical professional is attempting to obtain an answer to from the patient EMR. The question prediction and answering engine analyzes the patient EMR to generate a set of answers to the set of questions from at least a portion of the patient EMR and outputs a report correlating the set of questions and the set of answers to the medical professional.

Abstract: A method is provided for lowering blood sugar in a subject in need thereof by administering a gliflozin Sodium-Glucose Cotransport 2 inhibitor pharmaceutical composition to a subject qualified for over-the-counter access to the gliflozin Sodium-Glucose Cotransport 2 inhibitor pharmaceutical composition. In some embodiments, the gliflozin Sodium-Glucose Cotransport 2 inhibitor pharmaceutical composition includes empagliflozin, canagliflozin, and ertugliflozin. In some embodiments, the gliflozin Sodium-Glucose Cotransport 2 inhibitor pharmaceutical composition includes (2S,3R,4R,5S,6R)-2-[4-chloro-3-[(4-ethoxyphenyl)methyl]phenyl]-6-(hydroxymethyl)oxane-3,4,5-triol or a pharmaceutically acceptable salt thereof.

Abstract: Embodiments described herein disclose technology for detecting and mitigating a health event. The system can monitor health information associated with the user. The health information can be collected by sensors. The system can assess the environment in the location of the user using one or more connected devices and/or sensors. Based on the health information and the environment, the system can detect whether a health event is occurring. In response to detecting a health event, the system can generate a mitigation plan and alter controllable environmental features according to the mitigation plan via the connected devices.

Abstract: A computer-implemented includes integrating a practice management system with a medical registry system that includes a medical registry for storing medical information; receiving, through an automated feed with the practice management system, information indicative of patients of a medical facility associated with the practice management system; updating the medical registry with the information indicative of the patients; assigning a plurality of medical forms to the patients; transmitting the assigned medical forms to client devices of the patients; receiving, through the automated feed with the practice management system, answers to questions included in the medical forms; updating database records in the medical registry with the answers to the medical forms; and tracking, based on the updated database records, compliance metrics for completion of the medical forms.

Abstract: Methods, systems, and computer-storage media are provided for facilitating the management of population health. A parallel processing architecture receives patient population health data from healthcare facilities along with any updated data. A high-level clinical logic is executed against the data to identify, among other things, patients in the population who qualify for health intervention programs. Using this information, healthcare facilities can implement management programs to help care for these patients.

Abstract: The disclosed technology addresses the need in the art for an enhanced communication system for emergency departments. A system is configured to receive, from an emergency department device, registration information for a patient device, generate a unique identifier associated with the registration information, and provide the unique identifier to the emergency department device. The system is further configured to receive, from the patient device, a communication including the unique identifier and contact information and store, based on the communication, an entry for the patient device in a device database, wherein the entry for the patient device comprises the registration information and the contact information.

Abstract: A system is used to control operation of a user device. An association between a medical condition and one or more decision trees is maintained. Each decision tree includes nodes organised in a tree structure originating at a root node and terminating at leaf nodes via branch nodes. The nodes are linked to each other via outputs and each output causes the system to differently control operation of the user device. Responsive to receiving medical information associated with the patient, using the association, a decision tree is identified. For the root node of the identified decision tree: a first node is selected, responsive to receiving data indicative of a first output regarding the root node; the user device is caused to retrieve medical information from one or more data sources based on the first node; and the retrieved medical information is caused to be displayed on the user device.

Abstract: A system and method to receive a request for a patient-specific surgical plan, create the requested plan, and provide it to a surgeon is disclosed. A Planning server may receive information regarding a patient, such as one or more files or objects, and an order from a surgeon for a surgical plan. A Plan Development client may include a surgical planning module that accesses the one or more files or objects, and creates a computer-generated, three-dimensional model of the patient anatomy. The planning module of the Plan Development client also may create an electronic surgical plan, and may transmit the plan to the Planning server. The ordering surgeon may be notified of the availability of the plan, and may access the plan stored at the Planning server through a surgeon client. The ordering surgeon may utilize the remotely generated surgical plan during the surgical procedure on the patient.

Abstract: A circadian rhythm entrainment platform can use medication circadian profiles that include mappings of medications to circadian rhythm disruptions and can make conversions of such circadian rhythm disruptions to administrations of light therapy to adjust for the disruptions. The circadian rhythm entrainment platform can specify how to entrain a patient's circadian rhythm using light therapy to compensate for or anticipate side effects of medications and for optimizing medication schedules for a patient's circadian rhythm so as to minimize side effects and increase medication effectiveness. The circadian rhythm entrainment platform can also gather information on the effects of medications on circadian rhythms and interact with patients, medical providers, and other providers in relation to light therapy.

Abstract: An assist system that assists an operation of a medical institution, including a learning unit that performs machine learning using medical institution data including operation data relating to the operation of the medical institution and economic data relating to the economic efficiency, patient data relating to a patient in a region to which the medical institution belongs, and environment data relating to environment surrounding the medical institution; and a presentation unit that presents an operation policy for improving the economic efficiency of the medical institution based on a result of the machine learning.

Abstract: A method of generating a user interface for use in documenting a patient encounter comprises: automatically identifying, with a computing device, at least one documentation protocol based on at least one element of the patient's medical record; and generating a user interface including at least one of the identified documentation protocols, the at least one identified documentation protocol identifying at least one medical finding. A system comprises a data store encoded on a memory device, the data store comprising documentation protocols. The system further comprises an input apparatus. A computing device is in data communication with the data store and the input apparatus. The computing device is programmed to receive findings input through the input apparatus, identify a documentation protocol based on the finding input through the input apparatus, and generate a user interface. The user interface comprising the identified documentation protocol.

Abstract: A machine learning server is provided for predicting innovations in one or more scenarios. The machine learning server includes a processor and a memory in communication with the processor. The processor is configured to receive a user input, define a scenario profile based on the user input, apply a first trained machine learning model to the scenario profile to generate at least one target associated with the scenario, wherein the at least one target includes a measurable outcome, prompt for a user selection from the target, apply a second trained machine learning model to the scenario profile and the user selection from the at least one target to generate at least one candidate innovation predicted to achieve the measureable desired outcome, obtain descriptive information related to the at least one candidate innovation, and present the descriptive information related to the at least one candidate innovation.

Abstract: A system and method for measuring health parameters of a subject is disclosed. The system and method are based on a mirror; an image acquisition unit configured with the mirror, and comprising a thermal sensor for capturing thermal images or videos of a body part of the subject; and a processing unit to receive data packets associated with the captured thermal images or videos from the image acquisition unit to identify a region of interest of the body part in each frame of the captured thermal images and videos. Further, the processing unit extracts attributes associated with a heat intensity variation from the identified region of interest region, and compares the extracted attributes with a predetermined set of reference data to measure risk scores associated with the health parameters of the subject based on the comparison. The measured risk scores are displayed by a display unit.

Abstract: Systems, methods and computer-readable media are provided for determining and mitigating the aggregate loss risk associated with hospitalization for epidemic or pandemic influenza for health insurers, reinsurers, provider organizations, or public policy-makers. An accurate prediction of this risk may be provided, which may be used to determine parameters for reinsurance underwriting or for issuance and trading of catastrophe bonds (“cat bonds”) or other insurance-linked securities (ILS) and derivatives to lay off substantial amounts of such risk to capital markets investors. In particular, one embodiment uses a novel log-expit transformation of the raw data and non-parametric gradient-boosting machine-learning modeling in order to determine a high-claim right-tail risk. Some embodiments further comprise securitizing epidemic or pandemic influenza acute care health services catastrophe risk.

Abstract: The invention relates to a device, a method, a computer program product and an application for establishing a current load level of a user. The device and the method comprise a mobile terminal, which comprises at least one sensor generating signal data and a plurality of available applications for use by the user and also an evaluation unit. According to the invention, provision is made for the mobile terminal to comprise an application, which is configured as further application and establishes a plurality of biometric data in respect of the user, at least from the signal data or from available applications used by the user, and to make said data available to the evaluation unit, and for the evaluation unit to determine the current load level of the user from the biometric data.

Abstract: In some implementations a computer-accessible medium includes a multimedia-document integration module that includes a heterogeneous distinction identifier between a first multimedia-document and a second multimedia-document and includes an integrator of the first multimedia-document and the second multimedia-document into an integrated multimedia-document, a data capture module that includes a data-extractor of the integrated multimedia-document, a query module that includes a query-generator encapsulated in a corresponding number of enquiry/inquiry transmissions, the enquiry/inquiry transmissions being short-message-service text-messages, a communication-subsystem that includes a transmitter of the enquiry/inquiry transmissions to an external device and receiver of an acknowledgement transmission or a negative-acknowledgement transmission from the external device, the acknowledgement/negative-acknowledgement transmission being a short-message-service text-message, and, a variance analytic module that includ

Abstract: The invention provides a monitoring device (1) for attachment to a surface of a subject. The device comprises a data collector (2) and a processor (3) as two separate parts which can be detachably joined such that physiological signals which are detected by the data collector can be transferred to the processor for signal processing and provision of monitoring data. At least one of the data collector and the processor comprises a transducer which can convert the physiological signal to a data signal which can be processed electronically. The data collector is adapted for adhesive contact with a skin surface, and may comprise an adapter (6) for the detachable attachment of the processor.

Abstract: A decision support tool is provided for discharging a patient by predicting the probability of a patient's readmission with pneumonia based on information available prior to discharge. The information used to make the prediction may include labs, vitals, diagnoses, and medications from prior encounters and from the current encounter. At least some of this information may be used to compute one or more severity metrics for the patient, such as a cancer score, an epilepsy or seizure score, a pneumococcal pneumonia score, and an instability score, to be input into one or more prediction models. An ensemble of machine learning models may be applied to the patient information to generate a prediction of that patient being readmitted with pneumonia within a future time interval. Based on the prediction, one or more intervening actions may be initiated to reduce the probability of readmission.

Abstract: Techniques for acquiring focused images of a microscope slide are disclosed. During a calibration phase, a “base” focal plane is determined using non-synthetic and/or synthetic auto-focus techniques. Furthermore, offset planes are determined for color channels (or filter bands) and used to generate an auto-focus model. During subsequent scans, the auto-focus model can be used to quickly estimate the focal plane of interest for each color channel (or filter band) rather than re-employing the non-synthetic and/or synthetic auto-focus techniques.