Abstract: Embodiments are directed to a method for determining an interview script in a claims submission. The method may comprising receiving data relating to a claim being submitted, which may include claims submission data input by a user, information relating to the user, and one or more features. Data associated with the one or more features may be determined from an artificial intelligence model. A first score based on the data associated with the one or more features and data associated with the information relating to the user may be determined and used to determine an interview script. In one embodiment, questions in the interview script may continue to be provided to the interviewer computer if a continually updated score remains above a predetermined threshold. In another embodiment, the user may be routed to a live interview with a human representative if a continually updated score drops below a predetermined threshold.

Abstract: A system for extracting a key phrase from a document includes a neural key phrase extraction model (“BLING-KPE”) having a first layer to extract a word sequence from the document, a second layer to represent each word in the word sequence by ELMo embedding, position embedding, and visual features, and a third layer to concatenate the ELMo embedding, the position embedding, and the visual features to produce hybrid word embeddings. A convolutional transformer models the hybrid word embeddings to n-gram embeddings, and a feedforward layer converts the n-gram embeddings into a probability distribution over a set of n-grams and calculates a key phrase score of each n-gram. The neural key phrase extraction model is trained on annotated data based on a labeled loss function to compute cross entropy loss of the key phrase score of each n-gram as compared with a label from the annotated dataset.

Abstract: Provided is a system to allocate resources using an information technology infrastructure. The system receives financial and health data of a participant. The system identifies a healthcare expense prediction model to predict the future healthcare expenses of the participant. The system determines from the prediction model using the multi-dimensional feature vector of the participant, the predicted lifetime healthcare expenses of the participant. The system identifies lifetime non-healthcare expenses of the participant. The system identifies a healthcare tax benefit account to provide funds towards the predicted lifetime healthcare expenses and a non-healthcare tax benefit account to provide funds towards lifetime non-healthcare expenses. The system determines a first amount of funds to allocate to the healthcare tax benefit account and a second amount of funds to allocate to the non-healthcare tax benefit account. The system provides the first and second amount of funds to an interactive user interface.

Abstract: A system is configured to provide a dashboard creation system. Panels associated with queries for retrieving information from a database are shown in a user interface. Various other user interfaces show query code, panel display settings, function code, dependencies, etc. Queries in a first query format access a data source. Queries in a second query format access a cache database that is synchronized with the data source.

Abstract: A patient platform for patient engagement and treatment compliance is disclosed. In an example, a system includes a clinician server, a personal mobile communication device storing first registration information for communicating with the clinician server, and a home therapy machine assigned to a patient and configured to transmit treatment information related to a dialysis treatment performed on the patient. The home therapy machine is capable of being communicatively coupled to the clinician server via a separate Internet connection as specified by second registration information and the personal mobile communication device via a local connection. The home therapy machine is configured to transmit the treatment information to the personal mobile communication device when the second registration information is not available or the separate Internet connection is not available.

Abstract: A system, method, and mobile device application are configured to capture, with a mobile device, a document such as a next generation sequencing (NGS) report that includes NGS medical information about a genetically sequenced patient. The method includes receiving, from a mobile device, an image of a medical document comprising NGS medical information of the patient, extracting a first region from the image, extracting NGS medical information of the patient from the first region into a structured dataset, the extracted NGS medical information including at least one RNA expression, correlating a portion of the extracted NGS medical information that includes the at least one RNA expression with summarized medical information from a cohort of patients similar to the patient, and generating, for display on the mobile device, a clinical decision support report comprising the summarized medical information.

Abstract: A communication device includes circuitry configured to acquire a digital certificate including information associated with a first attribute from a first device coupled to any of a plurality of devices sharing a distributed ledger having recorded therein a correspondence between an attribute of user information included in the digital certificate and a definition of the attribute, receive a request for information associated with a second attribute from a second device coupled to any of the plurality of devices, acquire a first definition associated with the first attribute, and a second definition associated with the second attribute, from any of the plurality of devices, and transmit a digital certificate including information associated with the first attribute to the second device together with a message notifying that the first attribute and the second attribute have the same definition, when the first definition and the second definition match.

Abstract: A method, apparatus and computer program product group records based upon a prediction of the content of the records. In the context of a method, data associated with respective subjects of the records is received and a threshold of a machine learning model is adjusted to satisfy an accuracy requirement for record categorization. In response to analyzing the data, but not the records, by the machine learning model, the method separates, using the machine learning model, the records into the first and second groups with the first group including records that the associated data indicates are more likely to support the addition of a code and the second group including records that the associated data indicates are less likely to support the addition of a code. The method also includes subsequently processing the records in different manners depending upon whether the records are included in the first or second group.

Abstract: A method and system is disclosed for receiving patient test data from a point of care device for a medical test performed on a patient using the point of care device, performing device specific processing on the received patient test data by processing the received patient test data to identify a device type from the received patient test data, and reformatting the received patient test data according to a test type using the identified device type, and transmitting the reformatted patient test data to a remote server system over a network.

Abstract: A computer system may generate a curated health ontology. The curated health ontology may be used by a requesting system. The curated health ontology generated from on a set of standard health codes combined with augmentation information, which supplements and/or otherwise changes the standard health codes. Once generated, the curated health ontology may be transmitted to the requesting system.

Abstract: A method is provided for authenticating, and establishing and tracking eligibility of a patient to purchase an over-the-counter (OTC) drug from a retailer, the patient using a client device or terminal and the retailer having a server. The server is 5 configured to redirect the client device or terminal to a backend platform to authenticate the patient, access a storage to search for any information that indicates the patient is ineligible to purchase the OTC drug; and without any information that indicates the patient is ineligible, administer a questionnaire to the patient to assess the eligibility for the OTC drug. And the backend platform redirects the client device 10 or terminal back to the server to complete the online sale of the OTC drug to the patient when the patient is eligible, or cancel the online sale of the OTC drug to the patient when the patient is ineligible.

Abstract: A system and method for homomorphic encryption in a healthcare network environment is provided and includes receiving digital data over the healthcare network at a data custodian server in a plurality of formats from various data sources, encrypting the data according to a homomorphic encryption scheme, receiving a query at the data custodian server from a data consumer device concerning a portion of the encrypted data, initiating a secure homomorphic work session between the data custodian server and the data consumer device, generating a homomorphic work space associated with the homomorphic work session, compiling, by the data custodian server, a results set satisfying the query, loading the results set into the homomorphic work space, and building an application programming interface (API) compatible with the results set, the API facilitating encrypted analysis on the results set in the homomorphic work space.

Abstract: In an aspect a system for osteoporosis monitoring is presented. A system includes a computing device. A computing device is configured to measure osseous tissue data of a user through an osseous measurement device. A computing device is configured to determine a current osteoporosis state of a user as a function of measured osseous tissue data of a user. A computing device is configured to predict an advancement of a current state of osteoporosis of a user. A computing device is configured to generate an osteoporosis recovery program for the user. A computing device is configured to display an osteoporosis recovery program to a user. A computing device is configured to receive, through a remote computing device, physiological data of a user. A computing device is configured to update an osteoporosis recovery program.

Abstract: Embodiment of the invention provide a method for determining a health index of a property area. The method comprises acquiring property data associated with a property area from a data source, and extracting a first property attribute data from the property data acquired. The first property attribute data extracted is used to determine presence or movement of a first pollutant data within the property area. The method further comprises determining a first potential impact data the first pollutant data may have on individual health based in part on the first property attribute data extracted, and computing a property score representing a health index of the property area based in part on the first potential impact data determined.

Abstract: A computer program product for gathering respondent input for determining a ranking of states each characterized by a set of selected levels each associated to an attribute. The interface mechanism provides for inputting selected attribute levels of a respondent state and for ranking of comparable alternative states determined in response to the inputted respondent state, in comparison with that respondent state. The alternative states are each displayed as the set of attributes with the associated set of alternative levels simultaneously and with an input field for inputting a preference indication of the shown alternative state compared with the respondent state. This allows the respondent input to be entered with very few input actions and little switching between screens. Only the selected attribute levels of the respondent state and the rankings and identifications of the determined alternative states need to be transmitted to the central computer.

Abstract: In general, the systems, components, methods, and techniques provide an automated medical communications system including an automated medical communications board controller device and a medical communications board device providing a medical board communications interface customized for the location of the medical communications board device at the medical facility.

Abstract: A system and method for predictively following up with a user to improve medication adherence. The system includes a medication adherence monitoring apparatus for determining whether a user has taken a medication at a predetermined medication administration time, and a processor for categorizing each determination of whether a user has taken the medication at a predetermined time across a plurality of different dimensions, combining the plurality of different dimensions in a plurality of different combinations to generate a patient adherence score across each of the plurality of different combinations, and ranking a user in accordance with each of the plurality of different combinations. The system further includes a communication apparatus for contacting a user to encourage medication adherence in accordance with at least the ranking of the user in accordance with one or more of the plurality of different combinations.

Abstract: A clinical therapy system (10) includes a drug delivery device (14) configured to delivery medication to a patient. One or more therapy devices (12, 16, 11, 13, 15, 17) are configured to provide therapy or to monitor the patient.

Abstract: A diagnosis method, system, and computer program product, include processing a user input comprising medical symptoms, assigning the user to a team of physicians and a cognitive agent based on the processed medical symptoms, each of the physicians having a different medical specialty corresponding to a disease associated with the medical symptoms, and producing a consensus diagnosis from the team of physicians and the cognitive agent.

Abstract: Various methods and systems are provided for a patient monitoring compliance system. In one embodiment, a method includes determining, over a duration, a relative amount of monitored time where data from the one or more monitoring devices was usable for monitoring one or more parameters of a patient, and if the relative amount of monitored time is less than a threshold amount of monitored time, outputting a first notification.

Abstract: The disclosure relates to, among other things, systems and methods for mitigating the risks of errors, benign or otherwise, occurring within trusted ledgers and/or for validating the integrity of information provided by operators of trusted ledgers. Consistent with embodiments disclosed herein, trusted agents, which may comprise proxy agents and/or test agents, may be employed to examine ledgers and/or derivatives, which may be meshed with other ledgers, to ensure the integrity of information provided by ledger operators. Ledger meshing techniques are described to link ledgers in a manner that improves the ability to verify ledger entries and/or recover from data faults. Further embodiments provide for tagging processes may be performed to give semantic meaning to hashes included in trusted ledgers.

Abstract: An inventive method for validating an end user device for use with a medical application. A medical application and a validation application are received in the end user device and the validation application is then executed, which includes: (i) determining the hardware and software environment of the end user device; (ii) providing a validation process compatible with the hardware and software environment; (iii) executing a test mode of the medical application; (iv) running the validation process during the test mode; and (v) determining from running the validation process whether the medical application is compatible with the end user device. When the medical application is determined to be compatible with the end user device, a validation report is generated and stored in the end user device and/or a server. When the medical application is determined to be incompatible with the end user device, the medical application is at least partially blocked.

Abstract: A method for assessing glaucoma in a patient may involve measuring an intraocular pressure of the patient and measuring an intracranial pressure in the patient, using a noninvasive eye tracking system. The method may then involve comparing the intraocular pressure to the intracranial pressure and assessing glaucoma in the patient, based on the comparing of the intraocular pressure to the intracranial pressure.

Abstract: Methods and computer systems are provided for issuing or suppressing patient alerts prior to order entry. In some embodiments, alert information is provided prior to a user placing an order, based on proactive clinical checking prior to ordering, thereby avoiding the need to change or cancel orders later. In some cases, proactive clinical checking uses data regarding physicians or other medical professionals, and/or patients, to determine whether or not an alert should be issued that requires a user to accept or override an alert. In embodiments, alert information may still be displayed but, based on dynamic rules, the alert may not require a response from a user. The providing of alerts prior to ordering, or the suppressing of alerts based on data, can address alert fatigue by users and improve patient care.

Abstract: A method for assessing a condition of an organ or tissue of a target object is provided. The method may include: obtaining a target image of the target object; segmenting a target region from the target image, the target region of the target image corresponding to a sub-region of the organ or tissue; determining a morphological characteristic value of the target region in the target image; obtaining a reference standard associated with a sample organ or tissue of a plurality of sample objects, the sample organ or tissue being of a same type as the organ or tissue of the target object; and assessing the condition of the organ or tissue of the target object by comparing the morphological characteristic value of the target region in the target image with the reference standard.

Abstract: An immersive display system for eye therapies includes an ophthalmic microscope and: a double video camera, connected to a local network infrastructure; the double video camera oriented for filming the surgery operation; at least one computerized control unit, connected to the local network infrastructure, receiving images from the double video camera and processing them in a three-dimensional digital format; and at least one computerized controller, receiving the images processed by the computerized control unit. Also included is at least one helmet adapted to be worn on the head by the surgeon during the surgery operation, the helmet provided with a viewer arranged before the wearer's eyes, configured for three-dimensional image display, providing virtual reality content; the viewer allows the surgeon exclusive viewing of the three-dimensional images processed by the computerized control unit; the helmet being connected to the local network infrastructure to allow image reproduction in real time.

Abstract: A method for the computer-assisted implementation of radiology recommendations includes any or all of: receiving a set of inputs; determining and/or identifying a set of findings; determining a set of follow-up recommendations; and triggering a set of outputs and/or actions based on the set of follow-up recommendations. A system for the computer-assisted implementation of radiology recommendations preferably includes and/or interfaces a set of computing subsystems and/or processing subsystems, but can additionally include and/or interface with a set of devices (e.g., user devices), models, and/or any other components.

Abstract: Systems and techniques are provided for a tree structure for byzantine fault tolerance. A validator computing device may receive a candidate block from a block producer. The block producer may be a second validator computing device of the distributed network. The validator computing device may determine whether or not the candidate block is valid. The validator computing device may sign an indication of whether or not the candidate block is valid to generate a signature. The validator computing device may send the signature to a third validator computing device that is a sibling node to the validator computing device. The validator computing device may receive a second signature from the third validator computing device. The validator computing device may combine the signature and the second signature to generate a combine signature if the signature and the second signature agree.

Abstract: The present invention relates to a method and apparatus for providing discounts, rebates, and offers relating to various medicines or supplements as integrated into an electronic health record application. The invention uses one or more computer systems to send and receive signals from an electronic health record application. The information is used to consult various databases to find offers regarding health products prescribed or recommended to a person.

Abstract: A plurality of attributes are extracted from a plurality of electronic health records, where each electronic health record is associated with a patient in a plurality of patients. Additionally, a training data set and a scoring data set are generated based on the plurality of attributes, and a patient similarity model is trained based on the training data set. A precision cohort is identified, where the precision cohort includes patients in the plurality of patients from the scoring data set that are similar to a first patient based on an electronic health record of the first patient and the similarity model. At least one result statistic for each of a plurality of treatments given to patients in the precision cohort is determined, and a first treatment of the plurality of treatments is selected for the first patient based at least in part on the determined result statistics.

Abstract: A note automation server automatically generates medical notes for appointments between patients and physicians. The note automation server generates a fingerprint for each upcoming appointment between a patient and physician using information from an EHR system and information stored on the note automation server. The fingerprint includes information about the patient, including demographic information and medical history. The note automation server identifies an appropriate note template and billing codes for the appointment using the fingerprint and an audio file recorded by a physician during and/or after an appointment. The fingerprint, audio file, and note template are used complete of the medical note. The completed medical note and billing codes are exported to the EHR system, where it is accessed by the physician. The note automation server monitors the EHR system to see if the physician modified the medical note or a billing code.

Abstract: Embodiments relate generally to computer network architectures for machine learning, and more specifically, to computer network architectures in the context of program rules, using combinations of defined patient clinical episode metrics and other clinical metrics, thus enabling superior performance of computer hardware. Aspects of embodiments herein are specific to patient clinical episode definitions, and are applied to the specific outcomes of highest concern to each episode type. Furthermore, aspects of embodiments herein produce more accurate and reliable predictions of possible patient outcomes and metrics.

Abstract: A communication method and a method for operating the communication network are disclosed. The method includes: obtaining a network identifier (NI) for a first member of the communication network, where the first member is un-validated and associated with a first user; obtaining a vote value regarding the first user from a second user of a second member in the communication network, where the second member is validated; generating a trust score for the NI based on the vote value; and validating the first member, in response to the trust score satisfying a trust score threshold, by inserting a first validated member identity hash block (MIHB) based on the NI into a master blockchain ledger for the communication network.

Abstract: According to an aspect of the present disclosure, a healthcare system receives a request to initiate a chat in relation to a patient, identifies healthcare providers having responsibility for the patient, and provides a chat session with the identified healthcare providers as participants. Upon receiving a command (requesting information on the patient) during the chat session, the healthcare system retrieves an electronic medical record (EMR) of the patient and sends the EMR to the participants of the chat session. In one embodiment, the command does not specify the identifier of the patient in the chat session. In another embodiment, when an external EMR system maintains EMRs of the patient, the healthcare system retrieves the EMR of the patient from the EMR system without requiring the participant to manually authenticate after specifying the command. Accordingly, the healthcare system is configured to facilitate collaboration among healthcare providers.

Abstract: A method of providing genetically personalized food recommendations includes storing, in a food micronutrient database accessible through an electronic device, a mapping of individual micronutrients to genetic information, medical information, and therapeutic objectives, a food menu for at least one restaurant, and nutrient data of each menu item on the food menu. The method also includes receiving and storing genetic information, medical information, therapeutic objectives, and dietary preferences of a user. The method also includes receiving input from the user indicating a restaurant where the user plans to eat food, identifying micronutrient(s) that match the genetic information, the medical information, and the therapeutic objectives of the user based on the mapping, identifying menu items that provide the micronutrient(s) and align with the dietary preferences of the user; and outputting to the user a personalized list of food choices at the restaurant that are healthiest for the user.

Abstract: Various embodiments of systems and methods for cross media joint friend and item recommendations are disclosed herein.

Abstract: A method and system of audibly broadcasting responses to a user based on user queries about a specific patient molecular report, the method comprising receiving an audible query from the user to a microphone coupled to a collaboration device, identifying at least one intent associated with the audible query, identifying at least one data operation associated with the at least one intent, associating each of the at least one data operations with a first set of data presented on the molecular report, executing each of the at least one data operations on a second set of data to generate response data, generating an audible response file associated with the response data and providing the audible response file for broadcasting via a speaker coupled to the collaboration device.

Abstract: Computer and mobile device-based systems and computer-implemented methods are described for automated medication adherence improvement for patients in medication-assisted treatments. The computer and mobile device-based systems includes modules and components to help patients in identifying prescribed medications, logging medication events, and to provide patients with personalized and targeted adherence enhancing interventions consisting of short questions, tips, advices, suggestions, strategies etc. by applying data mining and statistical analysis techniques on the individual and population-level data collected primarily from the same system.

Abstract: A remote monitoring system for medical data collection can include a data-flagging process embeds authorization and settings information into a file containing the test results. Such data flagging can occur at a medical device or testing site, and may be based in policy settings received from a remote system. A file containing the test results can also include data category information that can be used to protect sensitive information by preventing such information from being communicated to the wrong server.

Abstract: A system for compounding medications. The system includes one or more compounding devices, and a central computer system. The central computer system receives requests, at least some of which require the compounding of one or more medications, and pushes assignments of respective compounding tasks to the one or more compounding devices. The assignments are made in accordance with a set of rules designed to promote efficient use of compounding resources.

Abstract: An Internet-based disease monitoring system may include a network-based disease sensor device, which is coupled to a sensor, such as a spirometer. A remote server may be coupled to the network-based disease sensor device to provide analysis of input signals from the sensor. The remote server may be able to provide various services for grouping or handling functions relating to such input signals. A service may provide the ability to aggregate input signals from multiple sensors coupled to sensor devices and provide predictive modeling or statistical analysis, which may then be used to adjust future input signals. A service may also contain instructions how to handle billing based on usage of the network-based disease sensor device.

Abstract: Provided are computer implemented method and systems for providing and monitoring patient compliance with a patient healthcare treatment plan. The method includes receiving, from a healthcare provider over a network, application features for generating a patient application including patient instructions for using a medical therapy, and generating an application for a patient. The application includes at least an input for the user to input data for use in evaluating patient compliance with a treatment plan. In addition, the method includes receiving, from the healthcare provider over the network, a prescription for the application for the patient, and activating the application after the patient receives training on use of the application. The method also may include receiving patient compliance data from the application over the network based on the input.

Abstract: A method of predicting patient deterioration includes receiving an electronic health record data set of the patient, determining a risk score corresponding to the patient by analyzing the electronic health record data set of the patient using a trained machine learning model, determining a threshold value using an online/reinforcement learning model, comparing the risk score to the threshold value, and when the risk score exceeds the threshold value, generating an alarm. A non-transitory computer readable medium includes program instructions that when executed, cause the computer to receive a list of patients, display selectable patient information corresponding to each of the list of patients according to an ordering established by a feature importance algorithm, receive a selection, retrieve vital sign information corresponding to the selection, and display the vital sign information.

Abstract: An apparatus, including a memory or a database which stores an electronic healthcare record of or for an individual or a patient a comment, note, or message, in advance of a video call, and information regarding an appointment for or regarding the video call; a processor which generates an appointment message or reminder message containing information regarding the appointment and containing a link or hyperlink for initiating the video call, wherein the video call is initiated via the link or the hyperlink; a receiver which receives information regarding the individual or the patient during the video call, receives information input into or entered into a provider communication device or a user communication device, wherein the processor or a computer generates a report containing information regarding the video call; and a transmitter, wherein the transmitter transmits the report to the user communication device.

Abstract: A computer system for analyzing biometric data of a user collected from a plurality of user devices and used to generate an insurance policy for the user includes a processor and a non-transitory, tangible, computer-readable storage medium having instructions stored thereon that, in response to execution by the processor, cause the processor to perform operations including: (i) receiving, from a wearable electronic user device, biometric data associated with a user; (ii) analyzing, based upon a plurality of rules, the biometric data; (iii) determining a health score associated with the user, based in part upon the analysis of the biometric data, wherein the health score represents a likelihood that the user will maintain a level of health for a predefined period of time; (iv) retrieving terms and conditions for an insurance policy from a database based upon the health score; and (v) generating, based upon the determining, an insurance policy for the user based upon the terms and conditions.

Abstract: The present disclosure describes methods and systems for machine learning models utilized for diagnosis suspecting. These methods and systems utilize machine learning models may be trained to diagnose diseases or conditions. The models may be trained with data from disparate sources that are aggregated and formatted to be utilized in these models.

Abstract: Single point devices that connect to a display device include a port for establishing a connection to a port on the display device and for switching the display device from a first mode to a second mode; an audio video device configured to capture image data representing one or more images of physical entities in a field of view of the audio video device and further configured to capture acoustic data; a receiver device and a transmitter device configured for dedicated communication with a data processing system.

Abstract: A computer-implemented method that receives at an apparatus a request from a first computing device for access to information related to a first user data set; determines, or receives an indication of a determination, whether the first computing device can access the information based on criteria for sharing information, the criteria based on one or more characteristics of the first user data set and a second user data set accessible by the first computing device; and provide a response based on the determination, the response preserving privacy of a user corresponding to the first user data set.

Abstract: An article management system collects articles from different sources, processes each article to extract information about the article (such as the topics covered in the article), and stores the information in one or more knowledge graphs. The system also maintains user profiles for each of its users. Each user profile includes a user genome representing the user's interests and preferences. The information in the knowledge graphs can be used to select articles to be displayed to users of the article management system. Articles can be displayed as part of the search results for an associated topic or concept, as part of a personalized feed that is generated based on the data in a user's profile, or as part of a feature that displays multiple articles that cover a given topic from multiple different viewpoints. The system can also provide a platform for users to create and publish research collections.

Abstract: Systems, devices, and techniques are disclosed for administering and tracking medicine to patients and providing health management capabilities for patients and caregivers. In some aspects, a system includes an injection pen device in communication with a mobile communication device having a software application to determine a recommended dose based on prior dose data, analyte data, and nutrient data and to generate a report illustrative of a relationship between the medicine data, the health data, and the contextual data.