Abstract: The subject disclosure relates to systems, devices, and methods for executing operations related to procurement of individualized medicine therapies. Also disclosed are embodiments systems, methods, and devices for accessing a wide range of individualized medicine platform modules. Furthermore, disclosed herein are individualized medicine platform systems, methods and devices communicatively coupled to blockchain computing systems comprising several nodes. The disclosed systems, methods, and devices also generate chain of custody and chain of identity event data.

Abstract: Disclosed are a drug evaluation method and apparatus. The drug evaluation method includes acquiring cell images in response to a drug to be evaluated, loading an image processing-based learning model trained so as to predict molar concentrations, outputting molar concentrations of cells corresponding to the cell images by applying the learning model to the acquired cell images, and calculating a drug evaluation value used to evaluate effects of the drug on the cells based on the molar concentrations of the cells corresponding to the cell images output through the learning model.

Abstract: In one embodiment, a computer-implemented system includes a treatment apparatus configured to be manipulated by a user while performing an exercise session, patient interfaces associated with users, and a server computing device configured to receive treatment data pertaining to the user, determine whether at least one characteristic of the user matches at least one second characteristic of a second user, where the second user belonging to a cohort. Responsive to determining the at least one characteristic of the user matches the at least one second characteristic of the second user, the server computing device is configured to assign the user to the cohort and select, via a trained machine learning model, a treatment plan for the user. Responsive to transmitting a signal to the patient interfaces of users in the cohort, the server computing device enables the patient interfaces to establish the virtual shared session between the patient interfaces.

Abstract: A computer system identifies supplemental materials most effective at increasing adherence for each of a plurality of different medications and provides the materials at an optimal point in time. An example method generates a first user interface for receiving an electronic prescription for a patient for a prescribed substance. Responsive to receiving the electronic prescription, the method includes obtaining adherence data for the patient, identifying supplemental programs associated with the prescribed substance from a database of supplemental programs, generating a second user interface that presents the supplemental programs for selection by the health care provider, and responsive to receiving selection of at least one of the supplemental programs in the second user interface, providing the supplemental programs to the patient. The supplemental programs identified from the database are associated with at least one rule relating to adherence data that is met by the adherence data for the patient.

Abstract: Programs, systems, and methods for generating electronic reports by a single-action electronic reporting system are described herein. In some embodiments, electronic reporting documents may be generated based on a configuration file. The configuration file may be editable by the user such that the user may select report data types and cumulation data types to be applied to the configuration file for a particular sub-application format. All personnel data associated with employees of a company may be stored such that the personnel data may be accessed and obtained by the single-action electronic reporting system. The user may define the data types, the cumulation data types, and the sub-application for output and presentation of the data.

Abstract: A computer-implemented system includes a processing device configured to receive a plurality of user and blood vessel characteristics associated with a user, generate a selected set of user and blood vessel characteristics, determine, based on the selected set of the user and blood vessel characteristics, a probability that angiogenesis will occur, and generate, based on the probability and the selected set of the user and blood vessel characteristics, a treatment plan that includes one or more exercises directed to modifying the probability that angiogenesis will occur, and a treatment apparatus configured to implement the treatment plan while the treatment apparatus is being manipulated by the user.

Abstract: Visually selecting application activities can include superimposing a visual selector overlay on a page displayed on a device, the page corresponding to a foreground activity. The superimposing can be responsive to receiving user input invoking the foreground activity. Contextual information corresponding to the foreground activity can be detected. The contextual information can be presented to the user visually within the visual selector overlay. The contextual information can be automatically added to a list and the list stored electronically on the device in response to received user input. The list can be configured to contain contextual information selected from page displays corresponding to a plurality of activities relating to one or more apps stored on the device.

Abstract: Provided are a method for service status analysis, a server, and a storage medium. The method includes: for each vertex of multiple vertices in a graph database: reading out attribute data of the vertex, where the graph database is generated in advance according to a service description table, the vertex represents a service, and the attribute data of the vertex includes at least one service attribute of the service represented by the vertex; and according to the attribute data of the vertex and attribute data of each of multiple related vertices, determining a service status level of the service represented by the vertex, where each of the multiple related vertices has a propagation relationship with the vertex; and according to the service status level of each of the services represented by the vertices, analyzing a service propagation network.

Abstract: Systems and methods related to medical cabinets and medical cabinet systems are provided. In particular, they include structure and systems that incorporate or expand medical cabinet systems with platform-based (open access) devices that can assist with managing and stocking of medical products in controlled environments (e.g., rooms having restricted access such locks or key codes to allow authorized personnel). They also include providing convenient expansion to temperature regulated products by adapting refrigerators or freezers using specialized shelf top platform devices that operate inside the refrigerator or freezer by way of the integration of algorithms and/or hardware.

Abstract: Generally described, one or more aspects of the present application relate to enabling determination of a predicted surgical efficacy of a proposed surgical intervention and a predicted pattern of post-operative recovery for the patient. More specifically, the present disclosure provides a system that can analyze the patient data of a plurality of patients data, generate analytics data indicating the post-operative recovery of the plurality of patients, and store the analytics data in association with the biological traits of the patients and the types of surgical interventions that the patients had. Subsequently, the system can analyze the patient traits and activity data of a patient, and output, based on the previously generated analytics data, a prediction of how efficacious a given surgical intervention might be for that patient and/or how the patient might recover from the given surgical intervention.

Abstract: A template builder for dynamically generated executables intakes objects from a metadata repository and template components from a template component library. An interface receives user selections of a test data object from among the objects in the metadata repository and template component from among the template components in the template component library. The template builder builds a candidate script template with the selected template component(s) and customizes the candidate script template, using the selected test data object into a generated script preview. The interface displays the generated script preview, and upon execution of the generated script preview, displays results of the execution. If the user is satisfied, the candidate script template may be persisted and used in templated data tests or other templated computational tasks.

Abstract: In non-limiting examples of the present disclosure, systems, methods and devices for determining a language of a text string are presented. A language detection model may be maintained. The language detection model may comprise identities and weights for initial and final consonants, identities and weights for prefixes and suffixes, and identities and weights for vowel sequences, where each identity is derived from a training corpus. The weights may correspond to a frequency of a text unit in the corpus. A text string may be received and a match score between the text string and the language of the language detection model may be determined. The match score may be based on initial and final consonant scores, prefix and suffix scores, and/or vowel sequence scores for each word in the text string. If the match score meets a threshold value a follow-up action associated with the language may be performed.

Abstract: Disclosed are a method and system for propagating data changes in a hierarchy of dataset models in which each dataset model comprises an analytic and one or more parent datasets, including a primordial dataset. The analytic is executed to instantiate a first instance of the data model. After a change in a primordial dataset, each instance of a dataset model that descends from the primordial dataset is invalidated, and the analytic is re-executed to create a second instance of the data model. Analytical results may be displayed. The first dataset model may include a metric in which the definition of the metric comprises metadata of the dataset model. Metric values may be stored in a first cache, re-computed on a new instance of the dataset model, and stored in a second cache.

Abstract: A system for evaluating mental health of patients includes a memory and a control system. The memory contains executable code storing instructions for performing a method. The control system is coupled to the memory and includes one or more processors. The control system is configured to execute the machine executable code to cause the control system to perform the method: A selection of answers associated with a patient is received. The selection of answers corresponds to each question in a series of questions from mental health questionnaires. Unprocessed MRI data are received. The unprocessed MRI data correspond to a set of MRI images of a biological structure associated with the patient. The unprocessed MRI data is processed to output a set of MRI features. Using a machine learning model, the selection of answers and the set of MRI features are processed to output a mental health indication of the patient.

Abstract: The disclosure is directed at a method and system for improved search functionality. By using natural language processing (NLP), individual words in a search term may be parsed and then individually stored. The relationships between the individual words of the search term may also be stored such that when the search is repeated, the previous results may be retrieved and, if not, a more accurate search may be performed.

Abstract: Methods, systems, and apparatus are disclosed to initialize a pharmacy application in a mobile computing device, the pharmacy application configured to prompt a user for a location acceptance via a question prompt notification. The pharmacy application may be launched in a background process of the mobile computing device, without user intervention, wherein the pharmacy application is configured to transmit a location of the mobile computing device and customer identification information to a remote pharmacy computing system, and receive a ready prescription including a pickup location at a predetermined pharmacy location from the remote pharmacy computing system. When the mobile computing device is within a proximity of the predetermined pharmacy location, the pharmacy application may display, on the mobile communication device, an indication that the ready prescription is available at the pickup location.

Abstract: Systems and methods for evaluating the efficacy of entertaining elements during physical and cognitive therapeutic sessions are disclosed. The system is comprised of a means for providing visual and auditory information, and prompting a patient to perform physical and cognitive tasks of varying difficulty. The system is further comprised of a means of tracking the patient's movements to provide feedback to the patient and assess the performance of the patient's movements. Prompted movements are designed to provide therapeutic mental, behavioral, and physical health benefits to the patient, and may increase or decrease in difficulty based on prior assessments of a patient's movements. Entertaining elements are introduced in the visual and auditory information and assessed for their impact on the patient's performance of the movements.

Abstract: Mechanisms are provided for implementing a disambiguation engine for disambiguating content. Electronic content is received from a corpus of electronic content, and analyzed to identify an ambiguous portion of content. The ambiguous portion of content is a portion of the electronic content whose meaning is not made explicit in the ambiguous portion of content. A context associated with the ambiguous portion of content is determined and a set of one or more context based ambiguous content interpretation rules associated with the determined context is applied to the ambiguous portion of content to generate an interpretation of the ambiguous portion of content. The ambiguous portion of content is annotated based on the interpretation to generate disambiguated electronic content which is stored for processing as part of a subsequent operation.

Abstract: An ambulatory medical device can detect a device condition and determine if the device condition satisfies a set of normal operating parameters. If the normal operating parameters are not satisfied, the ambulatory medical device can determine if the device condition stratifies a set of minimum operating parameters. If the minimum operating parameters are satisfied, the ambulatory medical device can maintain a delivery of therapy to a subject and generate an alert based on the device condition.

Abstract: According to an embodiment of the present application, as a method of determining whether to output an alert of a user's thyroid dysfunction, there may be provided a thyroid dysfunction monitoring method including receiving a user's medication information from an external device; selecting a monitoring algorithm to be used to determine whether to output the alert on the basis of the medication information; and determining whether to output the alert on the basis of the selected monitoring algorithm.

Abstract: The disclosure pertains to a secure intelligent networked system for identifying and correcting a defect in a health care service and method for using the same. The system receives data regarding patient care, generally obtained from commercial insurance claims, customer claims or Medicare claims. The system operates on a plurality of nodes configured based on a set of metrics associated with the appropriateness of health care measures. The system may generate a determination regarding the appropriateness of the measure. The system may further produce a second determination denoting a physician's overall conformity with appropriate standards of practice. Finally, the system may generate a knowledge narrative indicating an appropriate action.

Abstract: The present invention provides systems and methods for use with electronic records, such as Electronic Medical Records (EMRs). A parser engine may receive a stream of Health Level 7 (HL7) messages containing EMR data and, using parsing logic, parse the HL7 messages to identify and extract specified EMR data therefrom. The extracted EMR data may be combined with analytic results data and presented via a trackerboard with refresh and writeback capability, to a medical professional or medical staff member, in real time or near real time relative to entry of the EMR data into an EMR system.

Abstract: The quality of predictive model outputs is improved by improving input data in the cases where entities in the input data are associated with one or more classes, computed at least in part from one or more subsets of the input data. Class association function characteristic data is derived from information describing a class association function that generates input data from source data. The class association function characteristic data comprises inferences relating to operation of the class association function that are not derivable solely from the input data. The input data is transformed into improved input data using a constructed class-specific transformation function and the class association function characteristic data.

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: Method and apparatus are described for a system that employs a change management algorithm to drive transfusion “appropriateness” by factoring evidenced-based knowledge and input from practitioners, where said algorithm may also ensure that a blood or blood product transfusion is provided to the right patient, that the blood/blood product is transfused at the right time, and that the procedure is completed for the right reason.

Abstract: Example embodiments of systems and methods for data transmission system between transmitting and receiving devices are provided. In an embodiment, each of the transmitting and receiving devices can contain a master key. The transmitting device can generate a diversified key using the master key, protect a counter value and encrypt data prior to transmitting to the receiving device, which can generate the diversified key based on the master key and can decrypt the data and validate the protected counter value using the diversified key.

Abstract: A system for predicting and summarizing medical events from electronic health records includes a computer memory storing aggregated electronic health records from a multitude of patients of diverse age, health conditions, and demographics including medications, laboratory values, diagnoses, vital signs, and medical notes. The aggregated electronic health records are converted into a single standardized data structure format and ordered arrangement per patient, e.g., into a chronological order. A computer (or computer system) executes one or more deep learning models trained on the aggregated health records to predict one or more future clinical events and summarize pertinent past medical events related to the predicted events on an input electronic health record of a patient having the standardized data structure format and ordered into a chronological order.

Abstract: Systems and methods for multiplexing of a dedicated communication channel for multiple entities, including initiating, at a first entity, a request to share data with a second entity; sharing a portion of an aggregate record for the with the second entity including creating an entity-specific copy; initiating, at the first entity, a request to share data with a third entity; and sharing a portion of the aggregate record with the third entity including creating an entity-specific copy. The portions shared with the second and third entities are dependent on data sharing rules defining shared data, linked data, and entity-specific data that is i) nonsynchronous and ii) provided for display only at the entity associated with the data.

Abstract: A system for customizing informed advisor pairings, the system including a computing device. The computing device is configured to identify a user feature wherein the user feature contains a user biological extraction. The computing device is configured to generate using element training data and using a first machine-learning algorithm a first machine-learning model that outputs advisor elements. The computing device receives an informed advisor element relating to an informed advisor. The computing device determines using output advisor elements whether an informed advisor is compatible for a user.

Abstract: The present disclosure is directed to systems and methods for developing an individual-specific patient baseline for a target patient. An exemplary method involves: determining one or more acuity scores for the target patient; identifying patient health data corresponding to one or more low acuity time periods; storing retrospective clinical data from a group of patients in a second database; comparing the patient health data corresponding to the one or more low acuity time periods with retrospective clinical data from a group of patients by identifying one or more patient subgroups; determining the individual-specific patient baseline using an adaptive baseline selection algorithm, wherein the adaptive baseline selection algorithm is used to determine whether to determine the individual-specific patient baseline using patient health data or using retrospective clinical data from one or more patient subgroups; and displaying, using a user interface, the individual-specific patient baseline.

Abstract: A system for selecting an ameliorative output using artificial intelligence includes at least a server configured to receive at least a prognostic output. At least a server is configured to generate a plurality of ameliorative outputs as a function of at least a prognostic output wherein the plurality of ameliorative outputs include at least a short-term indicator and at least a long-term indicator. At least a server is configured to receive at least a user life element datum wherein the at least a user life element datum includes at least a user life quality response. At least a server is configured to generate a loss function of the plurality of short-term indicators and the plurality of long-term indicators using at least a user life element datum. At least a server is configured to select at least an ameliorative output from a plurality of ameliorative outputs to minimize the loss function.

Abstract: Methods, systems, and computer-readable media for a system and method are provided for assessing the value of predictive models monitoring medical conditions. Trends in an individual's medical condition are determined based on monitoring values, and the trends are associated with the actions performed in response to the monitoring values and in accordance with the predictive models. The trends may indicate that an individual's condition is improving, worsening, or remaining stable in response to the action taken. Models used for multiple conditions for an individual or for a population of individuals may be assessed in this manner to generate knowledge regarding the performance of the models based on the actions taken. This knowledge may be used to assess the value of the models in terms of the models' performance and may provide insight on way to improve the models.

Abstract: A pathway identification system includes processor and memory hardware. The memory hardware stores a pathway database including pathways corresponding to at least one pathway parameter, a framework database including a set of framework transformation models, and instructions. The instructions include, in response to receiving a first pathway parameter corresponding to a user, identifying a subset of pathways of the pathways corresponding to the first pathway parameter. The instructions include obtaining a first set of framework transformation models from the framework database, determining a pathway value for each pathway of the subset of pathways using the first set of framework transformation models, and selecting at least one pathway of the subset of pathways based on the corresponding pathway value. The instructions include transmitting information encoding the at least one pathway to the operator device and transforming a user interface of the operator device to display the at least one pathway.

Abstract: HIPAA-compliant computer security method and system for recording, using a video camera, electronic visual personal health information of at least two individuals, including an individual under care, and preventing unauthorized access of the user to the video information. The video is compared to physical attribute information of the individuals stored in the computer system's memory, and the individuals are identified by facial matching. The user's stored caseload has authorization profile information including access to individuals under care. The identified individuals are compared to the user's caseload information, and the user is granted access to part of the video of the individual under care, the video of the other individuals is blurred, and the resulting video is transmitted to the user's caseload for viewing. Data fields of an information request are populated using formatted data from the video information.

Abstract: A variable dose dispensing system may include a processor and memory. The processor secures a first container including a first dosage form of medication in a first location and a second container including a second dosage form of the medication in a second location within an automated dispensing device. The processor also receives a selection identifying an order for the medication, the order including at least a maximum amount to administer and determines that the first dosage form and the second dosage form are sufficient to provide the maximum amount. The processor also selects the first dosage form as preferable over the second dosage form based on one or more determined characteristics of the first dosage form and of the second dosage form and activates the automated dispensing device to permit access to the first location.

Abstract: Tools and techniques are provided for analyzing health care procedure related transactions of a health care entity. The method can include creating a linked data items file, by a transaction analysis computer system, derived from a combination of a charge description master (CDM) file containing CDM data items, an order entry system (OES) file containing OES data items, and a CDM-to-OES cross-reference data file. The linked data items file can be analyzed by reading linked line items, analyzing its CDM data portion, analyzing its OES data portion, and/or comparing the linked CDM data portion to the linked OES data portion for determining similarities or differences between the CDM and OES data portions.

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

Abstract: This document describes medical systems that use artificial intelligence to facilitate autonomous or semi-autonomous medical procedures. For example, this document describes heart/lung machine systems that are used in conjunction with artificial intelligence systems to facilitate autonomous or semi-autonomous open-heart surgery operations.

Abstract: A method for providing training for treating emergency patients is provided. The method for providing treatment training for an emergency patient comprises the steps of: generating a virtual patient scored according to the virtual patient's conditions on the basis of medical statistics; automatically allocating necessary treatment data on the basis of vital signs of the generated virtual patient; providing a user with the generated virtual patient and the vital signs on the basis of augmented reality by using a user terminal; receiving, at the user terminal, the result of treatment performed by the user on the basis of the vital signs of the virtual patient; and providing evaluation data by comparing the result of treatment performed by the user with the treatment data for the virtual patient.

Abstract: Systems and methods may include identifying, by a server computing system, data related to treatment needs of a plurality of patients associated with a plurality of healthcare providers, the data related to the treatment needs of the plurality of patients associated with cancelled health-related appointments because of a shared-health event; determining, by the server computing system, data related to a treatment specialty associated with each of the plurality of patients based on the data related to the treatment needs of each of the plurality of patients; determining, by the server computing system, data related to a treatment specialty associated with each of the plurality of healthcare providers; and matching, by the server computing system, at least one patient from the plurality of patients with at least one healthcare provider from the plurality of the healthcare providers based on data related to the treatment specialty associated with the patient being similar to data related to a treatment specialty

Abstract: HIPAA-compliant computer security method and system for recording, using a video camera, electronic visual personal health information of at least two individuals, including an individual under care, and preventing unauthorized access of the user to the video information. The video is compared to physical attribute information of the individuals stored in the computer system's memory, and the individuals are identified by facial matching. The user's stored caseload has authorization profile information including access to individuals under care. The identified individuals are compared to the user's caseload information, and the user is granted access to part of the video of the individual under care, the video of the other individuals is blurred, and the resulting video is transmitted to the user's caseload for viewing. The video information is used to prepare automated Electronic Visit Verification (“EVV”) records.

Abstract: A computer system for enhanced personal property replacement may be provided. The computer system may include at least one processor in communication with at least one memory device. The at least one processor may programmed to receive a plurality of user preferences transmitted from a user computer device associated with a user, receive a request from the user to cover a claim, determine a first plurality of items for the user based upon the claim and the plurality of user preferences, and/or transmit, to a retailer computer device associated with a retailer, an order for the determined first plurality of items with the retailer to be delivered to the user at an address associated with the user.

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

Abstract: The exemplary embodiments disclose a method, a computer program product, and a computer system for managing sanitation. The exemplary embodiments may include collecting data of one or more assets, extracting one or more features from the collected data, and evaluating a state of sanitation of the one or more assets based on applying one or more models to the extracted features.

Abstract: A medical ophthalmic system uses a patient-specific face mask to establish a predefined alignment between the ophthalmic system and an eye of a patient. The patient-specific face mask may optionally provide a light proof enclosure for the eye. The face mask may be coupled directly to an ophthalmic device, or its housing/enclosure, of the ophthalmic system. The face mask may be 3D printed based on a 3D model of the patient's face.

Abstract: A system and method of providing nutritional data for a user is disclosed herein. The method includes receiving a selected restaurant from a health tracking device, and providing menu data for the user based on the selected restaurant. The method further includes receiving a selected menu item from the health tracking device, associating the selected menu item with a plurality of food items in a database, and providing the plurality of food items for the user. Furthermore, the method includes receiving a selected one of the plurality of food items from the health tracking device, and providing nutritional data based on the selected one of the plurality of food items.

Abstract: A method for supporting and/or making clinical decisions, especially with relation to cannabis use, that uses computer analytics to automatically analyze data to determine which data is relevant to account for changes in a patient over time, continually improves on that analytical process, and offers predictions, insights, and/or suggestions to support clinical decision making.

Abstract: A computer-implemented method is for performing at least one medical imaging procedure using an imaging modality. The medical imaging procedure is performed under remote supervision. An embodiment of the method includes acquiring with a computing unit data on the medical imaging procedure to be performed; acquiring with the computing unit data on at least one expert operator, located at a workplace remote from the imaging modality; matching data on the medical imaging procedure with data on the expert operator; assigning at least one expert operator to the medical imaging procedure based on the matching; and providing a communication channel between the imaging modality and the remote workplace.

Abstract: A method for adjusting control parameters of a clip applier using a surgical hub is disclosed. The method comprises gathering data during a first surgical procedure, evaluating the gathered data to determine the appropriate operation of a clip applier in a subsequent surgical procedure, gathering data during the operation of the clip applier in the subsequent surgical procedure, determining if the operation of the clip applier needs to be adjusted based on the data gathered during the subsequent surgical procedure, and adjusting the operation of the clip applier based on the data gathered during the subsequent surgical procedure.

Abstract: Provided is a system and method for automated patient interaction. The method includes parsing a patient complaint comprising a plurality of words, determining a subset of patient queries from a plurality of patient queries based on the patient complaint and patient data, communicating the subset of patient queries to a first computing device; receiving, from the first computing device, responses to at least a portion of the subset of patient queries; generating output data based on the subset of patient queries and the responses; communicating the output data to a second computing device; receiving, from the second computing device, a user input corresponding to at least one patient query of the subset of patient queries; and training, based on the user input, at least one machine-learning algorithm configured to output at least one patient query based on at least one of the patient complaint and a subsequent patient complaint.