Abstract: A system rapidly produces training cases for machine based learning by automatically creating training cases from a database of historical data. The system determines a plurality of attributes relevant to each of the training cases. The system identifies a first attribute of the plurality of attributes as an issue, and a second attribute of the plurality attributes as a response to the issue. The system identifies a plurality of cohort members from the database of historical data, where each cohort member comprises cohort member attributes that match a subset of the plurality of attributes. The system analyzes the cohort member attributes of each of the plurality of cohort members to identify the most frequent responses to the issue. The system creates the training cases where each training case comprises the issue and the most frequent responses. The system then trains a machine based learning system using the training cases.

Abstract: A computer-implemented method for scheduling processing of an order for goods at a provider location obtains an arrival estimate for when a user associated with the order is expected to arrive at the provider location and uses the arrival estimate to schedule processing of the order. Processing may be scheduled so that completion of order processing is expected to substantially coincide with arrival of the user at the provider location. The method may also obtain an order completion estimate for when processing of the order is expected to be completed and use both the arrival estimate and the order completion estimate to schedule processing of the order. The method may update one or both of the arrival estimate and the order completion estimate. The method may be executed by a networked mobile wireless telecommunication computing device of the user, or by a data processing system associated with the provider.

Abstract: Embodiments relate to systems and methods for coordinating, arranging and/or managing transportation. These systems and methods can be used and applied in a variety of settings and industries, including healthcare, travel, hospitality, event, dining and entertainment, and others.

Abstract: A system to remotely perform medication reconciliation for a patient in a health care facility using medication records for the patient stored in a client computing device is provided. The system can include the client computing device, servers to securely transfer medication records between the client computing device and a health care facility computer system. The servers, client computing device and a health care facility computer system communicatively coupled via the Internet.

Abstract: A system (10) for personalization of patient pathways and treatment options includes a patient information database (32) which stores patient data relating to a patient's medical records. A patient personalization system (12) receives the patient's lifestyle values and preferences and evaluates choices of pathways and treatments and a clinical decision support system (18) generates choices of pathways and treatments from the patient data and the patient's lifestyle values and preferences.

Abstract: Mechanisms are provided to implement a patient summary generation engine with deduplication of instances of medical concepts. The patient summary generation engine parses a patient electronic medical record (EMR) to extract a plurality of instances of a medical concept, at least two of which utilize different representations of the medical concept. The patient summary generation engine performs a similarity analysis between each of the instances of a medical concept to thereby calculate, for a plurality of combinations of instances of the medical concept, a similarity metric value. The patient summary generation engine clusters the instances of the medical concept based on the calculated similarity metric values for each combination of instances in the plurality of combinations of instances of the medical concept to thereby generate one or more clusters, and select a representative instance of the medical concept from each cluster in the one or more clusters.

Abstract: Systems and methods are disclosed for providing secure electronic access to prescription status information on a mobile device. An example method includes, in response to receiving a status request message determining a user corresponding the mobile device associated with the status request message, and providing a refill status message comprising a short uniform resource locator (URL) to the mobile device associated with the status request message. The short URL is generated based on (i) a web address for a prescription status webpage associated with the user and (ii) an authentication token associated with the user. The example method includes, upon receiving a request to access the short URL, validating, by the at least one processor, the request based on stored authentication data. The example methods includes providing access to the prescription status webpage on the mobile device upon obtaining authorization to electronically access protected health information (PHI) of the user.

Abstract: A system for identifying a location of a device is described. The system includes a patient support device and a healthcare apparatus connected to the patient support device. The healthcare apparatus has a plurality of sensor devices and a scanner device. The scanner device is able to scan machine-readable labels to identify a patient identifier and a device identifier. A server is configured to determine a location of the patient support device using the patient identifier and device identifier.

Abstract: A mobile computing device includes computer-executable instructions contained in nonvolatile computer-readable memory which, when executed by a processor of the device, perform a method including the steps of providing a plurality of application user interface screens, and enabling the person to navigate between the application user interface screens based on receiving user input by the person. Each application user interface screen represents a different context of use of the application for accomplishing a different respective result or performing a different respective activity by a person interacting with the application on the computing device. In variations thereof for use on PCs, application user interface windows are provided. In other variations, different user roles with different access privileges and/or different functionality forms the basis of the different contexts. I still other variations, both types of contextual bases are utilized.

Abstract: The disclosure describes a patient registry data system that can be used to aggregate clinical, molecular, and immune parameters involved in disease initiation, progression, and response to treatment. The disclosure can allow participants, researchers, and physicians to visualize data based on parameters, such as participant demographics and immune system data.

Abstract: Response parameters for a population of RFID tags present in an inventory space are determined by (a) continuously scanning the inventory space to interrogate the population of RFID tags and receiving responses from RFID tags within the population; (b) after multiple responses have been received from a specific RFID tag, determining response times for the specific RFID tag corresponding to time periods between sequential ones of the multiple responses from the specific RFID tag, (c) calculating a maximum acceptable response time based at least in part on the response times determined in step (b); and (c) recording a response interval data set including one or more of the response times determined in step (b) and the maximum acceptable response time calculated in step (c).

Abstract: In some embodiments, contextual image variations are generated for an input image. For example, a contextual composite image depicting a variation is generated based on a input image and a synthetic image component. The synthetic image component includes contextual features of a target object from the input image, such as shading, illumination, or depth that are depicted on the target object. The synthetic image component also includes a pattern from an additional image, such as a fabric pattern. In some cases, a mesh is determined for the target object. Illuminance values are determined for each mesh block. An adjusted mesh is determined based on the illuminance values. The synthetic image component is based on a combination of the adjusted mesh and the pattern from the additional image, such as a depiction of the fabric pattern with stretching, folding, or other contextual features from the target image.

Abstract: Automatic detection of disease presence from combining disease-specific measurements with textual descriptions of disease and its severity in unstructured textual reports is provided. In various embodiments, a knowledge graph of clinical concepts is read. Based on the knowledge graph, a plurality of associations are determined between disease names, symptoms, anatomical abnormalities, and qualifiers. A corpus of clinical reports is read. Based on the plurality of associations, a plurality of portions indicative of a disease condition are located within the corpus of clinical reports. Within each of the plurality of portions, name/value pairs are detected corresponding to measurements indicative of the disease condition. The measurements indicative of the disease condition are extracted.

Abstract: Measurement results are acquired by a number of medical imaging systems in each case using a respective measurement protocol and by applying a respective dose. Data records are automatically placed in a cloud by the systems or a PACS connected to the respective system. Measurement protocols, applied doses, and anonymized images of the data records are referenced among each other. The data records placed in the cloud are assigned the respective examination type and an identification of the respective system and/or an identification of the type of respective system. The cloud accepts data queries from users. The data queries as a search criterion specify at least the examination type, the identification of the respective system, and/or the identification of the type of the respective system. The data records are determined by the cloud in accordance with the respective data query and are made available to the respective user.

Abstract: Systems, apparatus, instructions, and methods for an interactive human visual and timeline rotor are disclosed. An example apparatus includes at least one processor to execute the instructions to generate at least: a digital twin of a patient, the digital twin to include models of patient health data; and a graphical user interface to provide visualization of and access to the patient health data based on an output from the digital twin. The example graphical user interface is to include: a visual representation of patient anatomy, the visual representation to include selectable indicators corresponding to the patient health data; and a rotor including categories of the patient health data, the rotor selectable via the graphical user interface to navigate a subset of the patient health data corresponding to a selected category via the visual representation of the patient.

Abstract: Described herein are various technologies pertaining to creating and modifying a computer-readable file for a patient in response to receiving data about the patient. The computer-readable file is modified by appending a child file record to the computer-readable file, identifying a parent file record for the child file record in the computer-readable file, and storing a pointer in the parent file record to the child file record. The child file record comprises the data about the patient, an initially empty pointer portion, and an attribute of a user that has permission to access the data about the patient. The pointer portion may be later modified to include pointers to subsequently added file records in the computer-readable file.

Abstract: Aspects of the present invention include a method, system and computer program product. The method includes identifying, by a processor, a set of global risk factors for a target event using training patients, and providing, by the processor, a disease progression timeline with defined time stamps by aligning longitudinal data of the training patients based on the defined time stamp of risk targets. The method also includes positioning, by the processor, a target patient at one of the defined time stamps on the disease progression timeline, and identifying, by the processor, at least one of the training patients similar to the target patient with the same one of the defined time stamps on the disease progression timeline. The method further includes calculating, by the processor, a time-varying predictive pattern of at least a portion of the global set of risk factors for the target patient along the disease progression timeline.

Abstract: Systems and methods are described for automatically identifying fraud, waste or abuse in health insurance claims submitted to insurance companies by healthcare providers. Insurance claim information and at one image associated with the insurance claim may be received, where the image has been submitted by a healthcare provider to an insurance carrier as supporting evidence of a medical service performed by the healthcare provider. The system may generate a digital signature representing the image, then may compare the digital signature generated for the image to previously generated digital signatures of other images that have been submitted in association with other insurance claims. The system may then determine a likelihood that the given insurance claim is associated with fraud, waste or abuse, based in part on whether the digital signature is identical or close to one or more of the previously generated digital signatures.

Abstract: A method for detecting anomalies in a system. The method includes collecting training data from the system, converting the training data into training images using an image generator, and designating each of the training images as corresponding to events for the system, where the events are at least one of an expected normal event and a non-normal event. The method further includes generating an image recognition model based on the training images and the designations thereof. The method further includes collecting new data from the system, converting the new data into input images, and analyzing the input images using the image recognition model to determine which of the events for the system are represented in the input images, where the anomalies are detected when the input images are determined to at least one of represent a non-normal event and fail to represent an expected normal event.

Abstract: The present disclosure pertains to a system for facilitating configuration modifications for a patient interface computer system based on an equivalent effort parameter. In some embodiments, the system obtains (i) one or more first measurements associated with a first subject, the first subject having a clinical coefficient, (ii) one or more second measurements associated with a second subject. The system determines (i) a first effort parameter based on the one or more first measurements, (ii) a second effort parameter based on the one or more second measurements, and (iii) an equivalent effort factor for the first subject based on the one or more first measurements, the one or more second measurements, and the clinical coefficient. The system causes a configuration of the patient interface computer system to be modified based on the equivalent effort factor.

Abstract: An electronic sitter management system coupled to patient surveillance network having a plurality of video cameras, each camera transmitting a stream of surveillance video of a respective patient room. The sitter management system includes at least one sitter management device and a plurality of sitter devices. Each device being assigned a plurality of patient rooms and capable of receiving a plurality of streams of surveillance video for the corresponding plurality of patient rooms and simultaneously displaying a plurality of video images of the corresponding plurality of patient rooms. Each device is also capable of transmitting sitter device availability information to the sitter management device. The sitter management device being capable of recognizing a sitter device being unavailable and reassigning the plurality of patient rooms previously assigned to the unavailable device to other of the plurality of sitter devices that are available.

Abstract: A method for ingesting a plurality of content according to a statistical similarity of at least one portion of the ingested plurality of content into an information handling system capable of answering questions, whereby the ingested plurality of content is based on a received topic and ingesting the plurality of content comprises ingesting a plurality of documents associated with the received topic is provided. The method may include determining at least one similarity between each document based on a similarity criteria. The method may also include applying a statistical model to characterize the determined at least one similarity between each document. The method may further include creating at least one pair-wise link for each document. The method may additionally include mapping the created at least one pair-wise link. The method may include generating a plurality of rules for ingesting a plurality of additional content.

Abstract: A computer implemented method for implementing a real time reconciling shared data structure is disclosed. The shared data structure may be stored in a memory, and a portion of the shared data structure may be coupled with a processor. The computer implemented method may be used for interacting with the shared data structure. The method may comprise the exchange of messages, requesting to change data in the shared data structure, between selected participants, wherein some of the participants must validate requested changes to the shared data. If all participants validate the requests to change data the changes to the data are made, and if less than all participants validate the requests then the changes are not made.

Abstract: Data from a plurality of parties involved in a discharge of the patient is securely processed in a cloud-computing environment. The cloud-computing environment identifies long-term care facilities suitable for the patient using a plurality of matching criteria derived at least in part from discharge information provided by the facility from which the patient is being, contacts the long-term care facilities to determine whether the facilities would be interested to conducting a tour for the patient's representative (and, or alternatively, the patient), and helps facilitate scheduling of the tour. The cloud-computing environment can further identify assessors capable of conducting the medical assessment of the patient and schedule the assessment, providing the assessment to all long-term care facilities.

Abstract: Systems and methods are provided for receiving, aggregating, and analyzing data to develop caregiver rankings, recommendations, and other information that care seekers may use to connect with caregivers for services, or for caregivers to use to connect with care seekers. Sample data can be obtained from a plurality of data sources, processed to form data clusters, aggregated to form data records, and provided to a care seeker searching for a caregiver or medical facility.

Abstract: Systems and methods presented herein relate to a method of sharing therapy data of an ambulatory medical device with a computing system of a networked computing environment. The computing system may be identified using an authorized system list that includes an address of approved computing systems. Using an address of an approved computing system, a direct end-to-end data connection may be established via a wireless wide area network. A public key of the computing system may be received permitting the ambulatory medical device to encrypt data to be transmitted to the computing system. The ambulatory medical device can transmit the encrypted therapy data to the computing system over the direct end-to-end data connection.

Abstract: A method involves presenting an interface which provides the ability to associate photographic images with an anatomical image for use in clinical documentation. A method involves presenting an interface which displays an anatomical image and lists both common conditions for selection by a user and common treatments for the presented or selected conditions. A method involves presenting an interface which displays an anatomical image providing drill down functionality.

Abstract: The present invention provides an apparatus for electronically producing a at least a part of a medical report. The apparatus implements a question tree (Q) comprising a plurality of mostly interrelated question nodes, and a report node tree (RN) comprising a plurality of report nodes, wherein at least one of the report nodes comprises and/or represents a text template. The apparatus further comprising an engine adapted to receive inputs, store the input relating to a selected question node, identify at least one affected report node associated with the selected question node, and change a property, in particular a visibility property, of at least one of the at least one affected report nodes, and preferably, insert and/or store the received input in either the at least one affected report node and/or the selected question node. The present invention also provides a method for electronically producing a medical report, and a computer readable device for implementing the method.

Abstract: At least one database is organized as a plurality of records, wherein each record contains information associated with one individual person, and a portion of the information is customizable into at least one dynamically productizable dataset. When a request for a plurality of productized datasets is received, and when the request defines fields common to each of the plurality of productized information sets, the database is searched to find records that match the defined fields of the request. Information is retrieved from at least some of the found records that match the defined fields, and at least some of the retrieved information is formed into the plurality of productized datasets. The plurality of productized datasets is communicated to a source of the request.

Abstract: In one or more embodiments, an analytical search engine is provided. The analytical search engine provides a search-driven data analysis approach that greatly facilitates data searches. The analytical search engine provides a more efficient user experience and, at the same time, simplifies the search process for its users. The analytical search engine employs a robust search model that provides a comprehensive definition and coverage of available data. The search engine provides various functionality such as type-ahead or look-ahead suggestions to help users define precise queries. The search engine also identifies ambiguous or incomplete queries and provides disambiguation suggestions to correct the queries.

Abstract: In embodiments, a Wearable Cardiac Defibrillator (WCD) system is configured to be worn by an ambulatory patient. The WCD system includes a main user interface (UI) output device that can output an image, sound or vibration as a main message about a condition of the patient or the WCD system. The patient may further carry a peripheral device that can also output an image, sound or vibration as a peripheral message about the condition. The peripheral message may mirror the main message at least in part, amplify it, and so on. The availability of the peripheral message provides the patient with the opportunity to better perceive the main message, and the flexibility to receive and react to it discreetly, learn more about the condition, and so on.

Abstract: Methods, apparatus, and processor-readable storage media for proactive storage system-based software version analysis using machine learning techniques are provided herein. An example computer-implemented method includes obtaining storage system data from multiple storage systems; determining performance issues among the storage systems by applying a machine learning algorithm to the storage system data; automatically grouping the storage system data into a set of groups based on issue type among the determined performance issues; automatically grouping, within the set, the storage system data into subsets based on a software version attributed to the corresponding storage system data; generating an output pertaining to actions to be performed with respect to at least one software version update; and transmitting the output to users of the storage systems which correspond to the storage system data in at least one of the subsets.

Abstract: A computer-implemented dental charting system includes a computer storing tooth data for at least one patient and a display operable to display the tooth data. The computer is responsive to voice commands, and the display has a periodontal mode and a restorative mode. The display includes an exam overview window illustrating a plurality of tooth images, each tooth image corresponding to a patient tooth location, and an exam focus window. The exam focus window illustrates a magnified view of at least one of the plurality of tooth images, and illustrates data corresponding to the selected tooth location. The exam focus window may be displayed beside the exam overview window, as a floating window on top of the exam overview window, or on a physically separate display from the exam overview window.

Abstract: Decision support technology is provided for use with patients who may experience respiratory deterioration. A mechanism is provided to determine whether a patient is experiencing (or is likely to experience at a future time) an autoimmune inflammatory event, which may include performing a spectral analysis on a time series of nocturnal or axillary temperatures for the patient to determine a spectrum slope or intercept. The time series may be demeaned, detrended, and apodized before performing the spectral analysis. A comparison of the slope or intercept with a baseline value is used to determine an indication of the patient's likely condition or future condition regarding the autoimmune inflammatory event. Based on the comparison, an intervening action may be invoked, such as alerting a caregiver, providing a recommendation or modified treatment, or determining and recommending a tailored prescription of medicine for the patient.

Abstract: Systems, methods, and apparatuses for managing patient adherence to prescription medication are disclosed. An adherence manager may receive lab values and prescription fill information from laboratories and pharmacies, respectively. The adherence manager may calculate an adherence score and a lab value score based on the received information. The scores may be combined into a single score. The adherence manager may determine if an intervention with the patient is desirable based at least in part on the adherence score, lab value score, or combined score. The adherence manager may flag the patient, send an alert to a clinician, or send an alert to the patient. The adherence manager may solicit information from the patient and transmit the information to the clinician. The type of intervention initiated by the adherence manager may be based at least in part on the adherence score, lab value score, or combined score.

Abstract: Systems and methods for monitoring medication adherence and compliance are provided. A medication monitoring system may include a medication container, a cover, and a beacon system. The beacon system may include a beacon that transmits a wireless signal when the cover is removed from the medication container. A method for monitoring medication adherence and compliance may include detecting when a cover of a medication container is removed from the medication container. The method may further include transmitting based on the detection, a signal from a beacon to a remote device, which indicates the opening of the medication container.

Abstract: Implementations of the present disclosure are generally directed to linking entities in dynamic knowledge graphs, and more particularly, to linking entities in knowledge graphs based on contextual evolution in one or more dimensions.

Abstract: A method starts with processor retrieving member's initial context data. Processor receives a string that is a transcribed utterance or an electronic message from the communication session established between member client device and agent client device. Processor determines potential relationships between the member and a patient that is the subject of the string by processing the string using Long Short-Term Memory (LSTM) neural networks to generate a plurality of relationship values. Relationship values are associated with relationship types. Processor generates weight values based on member's initial context data for each of the plurality of relationship types, and generates probability values for the relationship types based on the relationship values and the weight values. Processor narrows the potential relationships, generates relationship data that includes the narrowed potential relationships, and causes the relationship data to be displayed by the agent client device.

Abstract: A non-invasive system for calculating a human or animal score, the system including a measurement slave device constructed and arranged to carry out measurements of biological parameters; a measure slave device constructed and arranged to carry out measurements of physical parameters; a master device constructed and arranged to collect the biological and physical parameters and calculate the human or animal score, the score including biological and physical parameters.

Abstract: Systems and methods for generating alerts based on potential health conflicts are described. The described systems and methods may provide for identifying unstructured text from a physical environment, performing natural language processing on the unstructured text to produce annotated text, comparing the annotated text to patient medical information to find a potential conflict, and generating an alert based on the potential conflict.

Abstract: Exemplary systems and methods for estimating progression of chronic kidney disease in a patient and applying clinical interventions may include determining historic values of at least one patient parameter that varies as a function of the progression of the chronic kidney disease over time, and computationally estimating a trend corresponding to the historic values. Based on the trend, at least one marker may be automatically provided that identifies a clinical intervention and a time in the future when the clinical intervention is expected to be needed. Based on the at least one marker, clinical preparations may be executed at a time prior to the administration of the intervention in order to improve at least one of a) timeliness of the execution of the intervention and b) effectiveness of the intervention.

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 relevant information graphical presentation engine for providing a graphical user interface (GUI) that presents information from a patient electronic medical record (EMR). The relevant information graphical presentation engine generates a GUI presenting patient EMR data pertinent to a condition of the patient. The relevant information graphical presentation engine identifies a change in treatment recorded in the patient EMR, submits a question to a healthcare cognitive system to query the patient EMR for a reason for the change in treatment, and receives at least one answer from the healthcare cognitive system identifying of a reason portion of the patient EMR that provides a reason for the change in treatment.

Abstract: Systems and methods for managing resource distributions are disclosed herein. An example method includes: receiving, at a first server and from a first resource provider (e.g., an educational foundation), a first provision of resources for a resource recipient (e.g., a teacher) and at least one restriction that restricts the resource recipient's use of the first provision of resources. The method also includes segmenting the first provision of resources, within a repository of resources associated with the resource recipient, such that the first provision of resources is uniquely identified as associated with the first resource provider.

Abstract: Described herein is a system in which multiple display devices may be located remotely throughout a facility. The system receives location information for a number of users within the facility. The system is able to identify a set of users collocated with a particular display device and generate a set of configuration settings specific to that set of users. Information provided by the system, either in response to an information request or automatically, may be formatted and/or filtered according to the generated set of configuration settings. In some embodiments, the set of configuration settings may be compiled from each of the users in the set of users based on priority.

Abstract: Presented is a method, apparatus, and computer-readable medium for aiding emergency response. An exemplary method includes receiving, by a processor, a first data, the first data related to medical information of an individual, and receiving, by a processor, a plurality of second data, the plurality of second data from a plurality of devices with information of the individual. The method further includes determining, by the processor, a trauma level of the individual based on the received first data and the received plurality of second data, and transmitting, by the processor, the first data and the plurality of second data to a trauma center.

Abstract: A method may include selecting a particular entity from a knowledge graph when a level of connectivity between entities in the knowledge graph that are neighbors to the particular entity is above a certain level and determining whether the particular entity is in a character string.

Abstract: An automated method for screening and preventing unnecessary medical/surgical procedures, comprising: retrieving medical/surgical procedures data from external and internal sources; computerizing a dynamic questioner with complex relations between questions and answers and a different impact for each answer in the context of the specific scenario and procedure by using experts input, latest research, statistics and machine learning modules; receiving from a user a request to provide a recommendation for a given medical/surgical procedure; providing a customized dynamic questionnaire to said user; computing a relative indication according to said answer's relative importance and impact on the decision to conduct said medical/surgical procedure; and generating a specific output for said user based on said medical/surgical procedure and the relative impact, including a relative indication for said medical/surgical procedure.

Abstract: A method and system for providing a data analysis in the form of a customized geographic visualization on a graphical user interface (GUI) on a remote client computing device using only a web browser on the remote client device. The system receives a user's selected data analysis to be performed by the system for display on the remote client device. The system verifies the data access permissions of the user to render a data analysis solution customized to that particular user, and automatically prevents that user from gaining access to data analysis solutions to which that user is prohibited. The system is configured to respond to the user's data analysis request, perform the necessary computations on the server side on the fly, and send a dataset interpretable by the client device's web browser for display on the client device or on a device associated with the client device.

Abstract: A system and method for privacy policy enforcement to ensure reconciliation between users communicating via an open system interconnection (OSI) communication architecture, with receiving of a privacy policy for at least one user's device and a usage policy for at least one user, receiving encryption codes, receiving private data from a first user to be sent to a second user, encrypting by a first server the received data, receiving a privacy policy enforcement vector, and performing selective decryption, by a second server, for each data segment, wherein data segments that correspond to a match between the privacy policy and usage policy are decrypted, and wherein at least one of the first server and the second server is external to the first user and second user.

Abstract: A pharmacy care manager (PCM) uses a reference price for a given drug that reflects the actual cost and availability of the drug in the market. The PCM determines a reference price index (RPI) using drug pricing and availability data from drug manufacturers, wholesalers, pharmacies, and the like, updated on a daily basis. Drug identification data obtained from industry publishers allow pharmaceutical products from different sources to be cross referenced. The PCM then uses the RPI as the basis for the reference price, thereby removing any arbitrariness or inconsistency in the reference price. The reference price may then be applied to pay pharmacy claims and request reimbursements from plan clients. Such an arrangement reduces or eliminates any differences between payment of claims and reimbursement.