Abstract: To achieve the foregoing and in accordance with the present invention, systems and methods for workflow management are provided. In some embodiments, a set of data elements, which are extracted from medical information, are received. The elements are bundled according to one or more similar attributes to form work items. Work items are bundles of data elements for which value is to be extracted for a particular user objective. Next the workflows are configured according to event history for the work items, current action, and user context. The work items may then be routed through the workflow based upon the work items' “energy”. Work item energy is the probability and degree to which a next action taken in a workflow to that particular work item will further a user objective.

Abstract: Technologies and techniques for providing third party notifications within a workspace on a processing device in medical computer system. The third party notifications are effectuated using a third party information manager that monitors inputs or changes to system information, such as the information that is pertinent to a currently displayed workspace, and then obtain third party messaging related to these inputs or changes. Additionally, a display decision manager is used to then determine the manner of displaying the third party messaging in the workspace based on either a determined priority of the messaging or the current content of the workspace. This selective managing of the third party messaging affords customization to the system that mitigates user alert fatigue caused by simply allowing all messages to be displayed.

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: In a method for data communication between a server system (3) and a front-end computing device (2) in a healthcare environment the front-end computing device (2) transmits a request for a data connection to a primary interface (30) of the server system (3). The server system (3) processes the request, and a data connection between the server system (3) and the front-end computing device (2) is established as a result of the processing. Herein, said processing includes creating a secondary interface (32) on the server system (3) dedicated to the request and transmitting information to access said secondary interface (32) to the front-end computing device (2), wherein said establishing includes connecting, by the front-end-computing device (2), to said secondary interface (32) using information received from the server system (3).

Abstract: A claim adjudication system including an automatic adjudication pipeline that uses pipeline rules to automatically adjudicate a claim associated with a benefit plan at one or more stages. The automatic adjudication pipeline can redirect the claim to a user interface for manual review when a pipeline rule associated with a manual review condition is triggered. The user interface can present information about the claim relevant to the manual review condition in an integrated format, including highlighting the reasons for the manual review. A user can evaluate the claim in the user interface and provide user input that addresses the manual review condition, and the claim can be routed back to the automatic adjudication pipeline. The user input can also be used as training data for machine learning to adjust pipeline rules that are used to automatically process claims and to redirect future claims for manual review.

Abstract: Systems, apparatuses and methods may provide technology that identifies minority class data and majority class data in patient-level data, wherein the minority class data corresponds to patients with a health failure and the majority class data corresponds to patients without the health failure, oversamples the minority class data to obtain synthetic class data and automatically reduces, via a machine learning classifier, a set of risk factor variables based on the majority class data, the minority class data and the synthetic class data.

Abstract: A training data processing method and an electronic device are provided. The method includes: obtaining medical history data including at least one first disease suffered by a user; setting a plurality of disease types according to a target disease; setting a time interval; obtaining at least one second disease in the time interval from the medical history data; performing a pre-processing operation on the second disease according to the disease types to obtain processed data; and inputting the processed data to a neural network to train the neural network.

Abstract: Methods, systems, and computer-readable media are disclosed herein combine randomization functionalities with the machine-learning prioritization of workflows for performance testing. In aspects, a primary workflow having a sequence of user interface steps is input. Testing workflows are generated that represent each variable position of unlocked steps in the sequence of the primary workflow while maintaining the sequential position of any locked steps. These testing workflows are then ingested to a machine learning model that identifies as subset of the testing workflows to prioritize over other. Specifically, testing workflows are prioritized that at least partially match sequence patterns in historical workflow data that is associated with vulnerable computer code. The subset is output and tested by testing engine to generate a report of any vulnerable computer code.

Abstract: A system for analyzing noise in one or more electrophysiology studies is provided. The system includes at least one processor and at least one memory device. The memory device stores an application that adapts the at least one processor to: identify, based at least in part on a machine learning model, one or more noise fingerprints within data derived at least in part from one or more study signals acquired from one or more patients during the one or more electrophysiology studies.

Abstract: Systems and methods for tracking samples via sample tracking chains are presented. Sample tracking chains represent digital data structures instantiated according to intrinsic properties of a sample. Each link in the chain is a block of data representing an observed intrinsic state of the sample and is linked at least to a previous block representing a previous state. The sample tracking chain and blocks can be indexed for later retrieval by the intrinsic properties of the corresponding sample's state. The sample tracking chain can take the form of a blockchain possibly stored as part of a private or public distributed ledger. Disclosed sample tracking chains provide a full life cycle audit trail for sample processing.

Abstract: The presentation of relevant data to users during a surgical procedure is disclosed. A system may include a plurality of displays present in an operating room. A medical personnel database may store data related to roles of users. A role gesture database may store gestures that may be made to store and retrieve data during the surgical procedure, based on respective roles of the users. A display tracking module may identify locations of the plurality of displays present in the operating room. A user tracking module may identify locations of the users and the occurrence of corresponding gestures of the users present in the operating room, to determine an identity of the user present in proximity to a display of the plurality of displays, and to display data related to the identity of the user based on a gesture during the surgical procedure.

Abstract: A mechanism is provided for implement a discrepancy detection mechanism for detecting discrepancies between clinical notes and administrative records. Clinical concepts are extracted from the clinical notes and the administrative records in a patient's electronic medical records (EMRs). The extracted clinical concepts are filtered based on semantic type information to identify concepts that reference diseases or syndromes while also removing negated instances. Utilizing the positive mentions of diseases in clinical notes, the positive mentions of diseases or syndromes in the clinical notes are compared against each positive entry in the administrative records. A discrepancy summary is then generated for diseases or syndromes that failed to translate correctly from clinical notes to the administrative records in the patient's EMRs.

Abstract: An example system includes a memory, processor, and instructions to receive a set of multidimensional adjudicated claims data, receive metric and lens functions, perform the metric and lens functions on a set of dimensions of the claims data to map claims to a reference space, generate cover of overlapping sets of the reference space, cluster the mapped claims in the reference space using the cover to identify nodes and edges, identify groups of nodes in a graph based on known improperly denied, for each group, identify differentiating drivers, and generate a denials application user interface depicting different cards for each of at least a subset of the identified groups in the graph that includes the known improperly denied claims, each card indicating a set of primary statistics of the claims in the nodes of that group, for each card depicting the differentiating drivers of that group.

Abstract: Using various embodiments, methods and systems for implementing secure transaction transfers are described. In one embodiment, a system performing the techniques described herein maintains a multi key index associated with a plurality of financial transactions using a self-balanced sorted tree data structure. Thereafter, the system reads/stores the self-balanced sorted tree data structure into memory and applies a filtering algorithm on the self-balanced sorted tree data structure to determine at least one qualifying financial transaction out of the plurality of financial transactions. The system selects the at least one qualifying financial transaction if it does not exceed a predetermined value. In one embodiment, the predetermined value is determined based on an available maximum utilization amount available to a user. Thereafter, the system transfers the selected at least one qualifying financial transaction to a secured credit card.

Abstract: Systems and methods for selectively processing image studies with an artificial intelligence system. One system includes an electronic processor configured to select an image study awaiting review and update a workflow status of the image study to a first status indicating that the image study has been claimed for review by the artificial intelligence system. The electronic processor is also configured to apply at least one of the plurality of rules to the image study to determine whether the image study is applicable for processing by the artificial intelligence system, and, in response to determining the image study is not applicable for processing by the artificial intelligence system based on the at least one of the plurality of rules, update the workflow status associated with the image study to a second status to make the image study available for claiming by a manual reviewer or another artificial intelligence system.

Abstract: Technologies pertaining to assigning patients to patient populations and graphically indicating that the patients have been assigned to the patient populations are described herein. A graphical user interface includes interactive elements that are configured to indicate to a healthcare worker that a patient has been assigned to a population, and further to depict proposed actions based upon the patient being assigned to the population.

Abstract: A method of managing cleaning services is disclosed herein. The method can include measuring a quantity of a consumable product remaining in a product dispenser, transmitting the quantity of consumable product remaining in the product dispenser to a remote computing platform, generating a schedule for servicing the product dispenser based at least in part on the quantity of the consumable product remaining in the dispenser, storing the schedule in a memory, and transmitting the schedule to maintenance personnel over a network.

Abstract: An electronic transaction system for selling and purchasing regulated products having: a) one or more servers; b) an application which is a computer program; wherein the application includes: i) one or more validation heuristics; and ii) one or more member incentive heuristics; and c) one or more databases which store: i) the plurality of jurisdiction-based rules; ii) a plurality of regulated products; iii) one or more member incentives; and iv) a plurality of merchant accounts associated with the plurality of merchants.

Abstract: The present disclosure relates to a computer-implemented method for controlling access to user data of a user. The method comprises: receiving, by a data controller, an access request requesting access to the user data; determining, by the data controller, a consent status and one or more item of information associated with the user data; encrypting, by the data controller, the user data in an encrypted data package encrypted based on the consent status and one or more item of information; and sending, by the data controller, the encrypted data package in response to the access request.

Abstract: An underwriting estimator predictive machine learning model receives as inputs a limited number of details about an applicant, and outputs an immediate underwriting estimate of risk class. A preliminary pre-screening review redirects applicants with one or more screening impairments to a human-in-the-loop quick quote process. Model inputs include estimator inputs data that are pre-selected from the dataset of impairments data after excluding the screening impairments from the dataset of impairments. The underwriting estimator model may incorporate alternative pathways that output individualized underwriting estimates for some applicants and cohort-level marginal distributions for other applicants. Model outputs also include explanation files providing interpretability of underwriting estimates. The explanation files may include additive feature attribution data and rule based natural language explanations.

Abstract: Generating a synthetic longitudinal dataset includes identifying subsequence patterns in records defining event sequences for patients. Feature vectors are determined, each characterizing a corresponding one of the records, based on the subsequence patterns. The feature vectors are embedded in a lower dimension space. A seed record is iteratively selected from among the records and in each iteration: subsequence patterns are identified in a subset of the records. Instances of subsequence patterns in the seed record are replaced with instances of similar subsequence patterns identified in the subset of the records to form a modified seed record. The iterations are repeated until all of the records have been selected as the seed record. The modified seed records are combined to form the synthetic dataset.

Abstract: The embodiments disclose a data processing cost and price determination platform with electronic negotiation, including a mobile app configured to register a medical patient, a medical database configured to retrieve patient demographics, patient medical necessity codes and patient billed account data related to the medical patient of a medical provider, a server configured to electronically collect updated patient medical pricing data from governmental and health insurance carrier sources and medical necessity standards based on demographics of the medical provider, a processor configured to compare the patient billed account with the updated medical pricing data to determine a suggested fair market of the patient billed account, an electronic negotiation module to submit the suggested fair market of the patient billed account data to the medical provider for soliciting a negotiated settlement rate and a communication module to transmit the accepted negotiated settlement rate from the medical provider to the

Abstract: A system for enhanced personal property replacement (i) builds a virtual inventory of personal belongings, such as by performing object recognition techniques on mobile device digital images with the customer's permission or affirmative consent; (ii) receives user preferences transmitted from their mobile device; (iii) receives a request from the user to handle an insurance claim after an insurance-related event; (iv) determines items to purchase for the user based upon the user preferences, and/or the extent of damage; and/or (v) transmits, to a retailer remote server a virtual order for the items to be delivered to the user at a temporary (hotel) or permanent (home) address. Insurance claim monies may be used to pay for the items. As a result, after an event (e.g., fire, tornado, hurricane), household or other goods may be automatically purchased and delivered to a customer to alleviate the negative impact of the event on their life.

Abstract: Techniques for administering a care plan for a patient. A monitoring device is selected, at a care plan management system based on a care plan, to use in administering the care plan. The care plan specifies biometric data to monitor for a patient. The monitoring device is configured to collect the biometric data, based on the care plan. The biometric data collected using the monitoring device is received at the care plan management system. The biometric data includes a first event initially classified as a first type of event using the monitoring device. The first event is selected for reclassification, based on the initial classification, and in response the first event is reclassified as a second type of event using the care plan management system. The patient is treated based on the care plan and the reclassified first event.

Abstract: The present disclosure provides methods for re-stimulating TIL populations that lead to improved phenotype and increased metabolic health of the TILs and provides methods of assaying for TIL populations to determine suitability for more efficacious infusion after re-stimulation.

Abstract: Techniques for producing segmentation with privacy are provided.

Abstract: A computer server system comprises a communications module; a processor coupled with the communications module; and a memory coupled to the processor and storing processor-executable instructions which, when executed by the processor, configure the processor to receive, via the communications module and from one or more devices, a signal including biometric data of a user; analyze the biometric data to predict an emotional state of the user; determine that the predicted emotional state of the user satisfies predefined criteria; and responsive to determining that the predicted emotional state of the user satisfies the predefined criteria, send via the communications module to the one or more devices a signal including one or more incentives based on the predicted emotional state.

Abstract: The present disclosure relates generally to an autonomous cell imaging and modeling platform, and more specifically to machine-learning techniques for using microscopy imaging data to continuously study live biological cells. The autonomous cell imaging and modeling platform can be applied to evaluate various cellular processes, such as cellular differentiation, optimization of cell culture (e.g., in-plate cytometry), disease modeling, histopathology imaging, and genetic and chemical screening, using a dynamic universal imaging system. In some embodiments, the platform comprises a set of label-free computational imaging techniques, self-supervised learning models, and robotic devices configured in an autonomous imaging system to study positional and morphological characteristics in particular cellular substructures of a cell culture in an efficient and non-destructive manner over time.

Abstract: An online platform and methods sort prescription drug claims for alternate fulfillment and/or discounted pricing. An electronic request for a prescription is forwarded to third-party prescription providers. In reply, proposed prices are received for the prescription. A computer processor forwards the received proposed prices for the prescription to an artificial intelligence engine. The artificial intelligence engine determines a selected one of the third-party prescription providers, based on the proposed prices. In addition, the determined selected third-party prescription provider and the proposed price are routed to the end electronic terminal in for example, a pharmacy. Embodiments include finding an alternate provider in the event of a rejected prescription claim.

Abstract: Methods and systems for providing a secure healthcare communication exchange platform. The methods and systems perform operations comprising: accessing a collection of data records from a plurality of sources, the collection of data records corresponding to a given entity; generating, based on the collection of data records, an aggregated representation of one or more conditions associated with the given entity; determining, based on the aggregated representation, that a given condition of the one or more conditions satisfies an outreach parameter; in response to determining that the given condition satisfies the outreach parameter, triggering an outreach event to communicate with the given entity; generating status information in the aggregated representation, the status information corresponding to the outreach event; and tracking the status information to establish a relationship between the given condition and the outreach parameter.

Abstract: The disclosed systems and methods provide patient care unit (PCU) order confirmation. A method may include authorizing a user to operate a medication delivery device. The method may also include retrieving, in response to the authorizing, a user history associated with the user, wherein the user history includes one or more dispensing records for pending medications. The method may also include determining, based on a context that includes the user history, one or more medication order candidates for present administration. The method may also include presenting a user interface for confirming a medication order from the one or more medication order candidates. The method may also include configuring at least one parameter of the medication delivery device based on the confirmed medication order received from the user interface.

Abstract: Apparatus(es)/method(s) relating generally to remotely administering a medication is/are disclosed. In one such method, a drug delivery device is obtained. The drug delivery device has: at least one reservoir in fluid communication with a needle; at least one actuator to drive a fluid within a respective at least one reservoir to the needle; a microcontroller to control operation of the at least one actuator; and a dosage control loop configured for communication with the microcontroller and a hemoglobin sensor. A dosage provided by the drug delivery device is automatically adjusted responsive to hemoglobin count sensed by the hemoglobin sensor for transdermal administration of medication for management of chronic kidney disease.

Abstract: This invention relates to methods and materials for multiplexed utilization of collections of functional ligands, particularly to methods and materials for selecting for and/or utilizing particular desirable traits of functional ligands in a multiplexed manner, and more particularly to methods and materials for selecting for and/or utilizing particular structural changes of functional ligands in a multiplexed manner.

Abstract: A claims processing system includes a claims assistance component to handle the flow of data through the claim process. The data may include any documents submitted for claim processing and may be generated by disparate sources. The system may train one or more machine learning (ML) models to classify the unstructured data by insurance categories and/or determine workflow. The system may assist a user through a user device to upload or capture claims data with the device. The claims assistance component may classify the data and verify the data classification before uploading it to the servers. In examples, the claims assistance component may determine that the file size of the data exceeds a cellular data transfer threshold and determine to compress the data and/or hold the transfer until a free connection is detected.

Abstract: A client device presents a user interface including a macro entry field for defining a macro indicator from a plurality of macro indicators and transmits the macro indicator. A server stores a database of macro-based diagnoses, each macro-based diagnosis associated with one or more elements of an accession, and one or more specimens associated with the accession. The server also receives the macro indicator from the client device, retrieves an initial diagnosis from the database of macro-based diagnoses responsive to the macro indicator, and transmits the initial diagnosis. The client device, receives the initial diagnosis, pre-populates one or more text boxes on the user interface with information from the initial diagnosis, and enables the user to edit the pre-populated one or more text boxes.

Abstract: A shelf inventory management system includes: a shelf installed in a house; a sensor that detects that an article is taken out from the shelf; a management unit that manages an inventory status of the article stored in the shelf, based on a detection result of the sensor; and a terminal for notifying a user of information related to the article stored in the shelf. The management unit stores, for each user, a taken out amount of each health-related product a consumption amount of which affects health, of the article stored in the shelf, and is able to output the taken out amount of each health-related product to the terminal.

Abstract: A datacenter power management system and method is disclosed. A plurality of computing units are enabled to operate at a second frequency, higher than a first frequency, in response to determining from respective power coefficients for these computing units, that a power level at this higher frequency remains below a power budget.

Abstract: Blockchain-based technologies to facilitate traceability of products through their lifecycle, including design, development, manufacturing, supply chain, and use. The system provides transparent, secure traceability through product lifecycle, drawing insights from collected data and post-market activities. For example, the system could receive tracking data from a plurality of tracking sources along a product's lifecycle and generate one or more blocks in a blockchain to capture the tracking data from the plurality of tracking sources along the product's lifecycle in one or more distributed ledgers.

Abstract: Method of analysis of a diagnostic dental representation showing a dental arch of a current patient in several dimensions. The method includes creation of a learning base including more than 1,000 historical dental structures. Each historical dental structure includes a historical dental representation showing an arch of a historical patient in several dimensions and a historical specification containing a value for at least a first attribute relating to a dental object associated with the historical dental representation. The method includes training of at least one deep learning device by use of the learning base. The method includes submission of the diagnostic dental representation to the deep learning device in such a manner that it determines, for the diagnostic dental representation, at least one value for the first attribute.

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

Abstract: A system and method for pre-operative or intra-operative surgical procedure feedback provide a recommendation to a surgeon. A system may include a robotic surgical device to perform a portion of a surgical procedure on a patient, and a processor to determine a recommendation, based on past surgical information, for the portion of the surgical procedure performed by the robotic surgical device or for a next action to be taken, but the robotic surgical device or a surgeon. The system may include outputting the recommendation by intra-operatively providing the recommendation to a surgeon operating the robotic surgical device.

Abstract: The present invention discloses a medical clinical data quality analysis system based on big data, which relates to the field of medical big data technologies. The present invention is used to solve the technical problems that multi-link classified acquisition cannot be carried out on medical behaviors, and the quality of clinical data cannot be analyzed and reflected at the front end, middle link, and tail end of management. In the present invention, authenticity data, compliance data, process data and conclusive data are comprehensively acquired in admission, hospitalization, and discharge links of medical clinical data quality management, which is conducive to implementing multi-link classified acquisition of clinical medical behaviors, thereby facilitating subsequent dynamic and orderly quality analysis and control of clinical data.

Abstract: A system, method, and computer-readable media for obtaining the informed consent of a patient for a medical procedure. Specifically, a video describing a medical procedure may be provided to the patient through a client device having two display portions. As the video is playing in a first portion, the client device may capture the patient watching the video and display the captured image on the second portion. The entire display of the client device may be recorded, providing a record that the patient has watched the video describing the medical procedure and consents to the medical procedure.

Abstract: Systems and methods providing compatibility between legacy electronic record systems are disclosed. Appliances are in two-way electronic communication with legacy electronic records systems and a gateway server which is in electronic communication with one of the legacy electronic records systems. Electronic medical records data is converted between legacy formats for the legacy systems and a common format for transmission between the appliances and the gateway server.

Abstract: An intelligent analysis system applied to ethology of various kinds of high-density minimal polypides is provided, including an operating platform subsystem and an analysis subsystem; the operating platform subsystem is used for providing an activity medium capable of obtaining behaviors of the minimal polypides and shooting the behaviors of the minimal polypides; the behavior collecting module in the analysis subsystem is used for obtaining an ethology video of the high-density minimal polypides through the operating platform subsystem; the analysis modeling module is used for obtaining ethology big data of various kinds of high-density minimal insects according to the ethology video, and establishing an ethology model; the simulation predicting module is used for dynamically predicting comprehensive control strategies and control effects of minimal pests in a field ecosystem according to the ethology model; the visual demonstrating module is used for displaying the above behavior data.

Abstract: One example method occurs at a switching fabric emulator providing an emulated switching fabric comprising emulated switching elements and associated packet queues, wherein the switching fabric emulator comprises at least one switching application-specific integrated circuit (ASIC) or programmable switching chip, the method comprising: during a test session: receiving, via at least a first physical port of the switching fabric emulator, packets from or to a system under test (SUT); detecting an occurrence of a dropped packet that happens while the packet is traversing the emulated switching fabric; encapsulating dropped packet data associated with the dropped packet, wherein the encapsulated dropped packet data indicates an emulated switching element or packet queue contributing to the occurrence of the dropped packet; and providing the encapsulated dropped packet data to an analyzer.

Abstract: A cleaning robot may determine a three-dimensional model of a physical environment based on data collected from one or more sensors. The cleaning robot may then identify a surface within the physical environment to clean. Having identified that surface, the robot may autonomously navigate to a location proximate to the surface, position an ultraviolet light source in proximity to the surface, and activate the ultraviolet light source for a period of time.

Abstract: A communication system according to an embodiment includes a server system and one or more communication apparatuses. The server system includes a first hardware processor. The first hardware processor determines frequency information indicating processing frequency of predetermined processing executed by the communication apparatuses. The frequency information is determined on the basis of determination information affecting the predetermined processing. The first hardware processor transmits processing frequency of the predetermined processing to the communication apparatuses. The processing frequency is determined on the basis of the frequency information. The communication apparatuses each include a second hardware processor. The second hardware processor receives the processing frequency of the processing from the server system. The second hardware processor executes the predetermined processing on the basis of the received processing frequency.

Abstract: A scheduling system and methods for scheduling patient appointments disclosed here utilize any available input to identify a timestamp and a spatial location related to a patient and/or one or more providers in proximity of one or more appointment locations, to allocate a set of procedure resources to each patient appointment based on the timestamps and the spatial locations, and to communicate any revised timing to the patient, thereby minimizing a total waiting time. The scheduling system allows for scheduling of appointments divided into multiple appointment states, each having a predicted timing. After a completed appointment state, individual uncertainty of the predicted timing is replaced with an actual timing and the predicted timing of the remaining schedule is revised. This scheduling system enables adaptive reallocation of resources while avoiding compounding the waiting times that create a multi-state iterative and time-variant problem.

Abstract: A system and method for detecting medical conditions in individuals in crowded settings is described, including methods and approaches for addressing confounding issues such as variation due to external factors.