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: 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: 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: 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 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 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 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: 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: 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 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: 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 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: 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 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: 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 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: 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: 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: 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: 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: 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: 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: 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: 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.

Abstract: A system for determining identification of a patient communicating over a computer network with a medical provider with certainty is provided using biometric data captured by said medical provider with subsequent biometric data generated by biometric sensors proximal to a patient. Using previously captured biometric information concerning physical characteristics unique to the patient and comparing such to subsequently generated biometric data from the patient, a medical provider can determine the identity of a patient attempting communication over a computer network with the medical provider.

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: 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: 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: 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: Methods, apparatus, systems, computing devices, computing entities, and/or the like for using machine-learning concepts (e.g., machine learning models) to determine predicted taxonomy-based classification scores for claims and dynamically update data fields based on the same.

Abstract: A method of displaying an operational parameter of a surgical system is disclosed. The method includes receiving, by a cloud computing system of the surgical system, first usage data, from a first subset of surgical hubs of the surgical system; receiving, by the cloud computing system, second usage data, from a second subset of surgical hubs of the surgical system; analyzing, by the cloud computing system, the first and the second usage data to correlate the first and the second usage data with surgical outcome data; determining, by the cloud computing system, based on the correlation, a recommended medical resource usage configuration; and displaying, on respective displays on the first and the second subset of surgical hubs, indications of the recommended medical resource usage configuration.

Abstract: In clinical documentation, mere documentation of a condition in a patient's records may not be enough. To be considered sufficiently documented, the patient's record needs to show that no documentation drop-offs (DDOs) have occurred over the course of the patient's stay. However, DDOs can be extremely difficult to detect. To solve this problem, the invention trains time-sensitive deep learning (DL) models on a per condition basis using actual and/or synthetic patient data. Utilizing an ontology, grouped concepts can be generated on the fly from real-time hospital data and used to generate time-series data that can then be analyzed by trained time-sensitive DL models to determine whether a DDO for a condition has occurred during the stay. Non-time-sensitive models can be used to detect all the conditions documented during the stay. Outcomes from the models can be compared to determine whether to notify a user that a DDO has occurred.

Abstract: A system, method, and computer program product are provided for centralized consent management. In operation, the consent management system receives user selections from a user indicating which user data is capable of being utilized for analysis by a company. The consent management system stores the user selections of which user data is capable of being utilized for analysis by the company in a consent database. The consent management system generates a consent vector corresponding to the user selections of which user data is capable of being utilized for analysis by the company. Additionally, the consent management system associates the consent vector with a consent vector identification. Further, the consent management system tags incoming data with the consent vector identification to associate a user consent with the incoming data. The consent management system stores and encodes the incoming data.

Abstract: Systems and methods are provided for updating data in a computer network. An exemplary method includes: receiving a first data from one or more data servers; determining a second data for which a first update information is used to update at least one element of the second data; generating a second update information associated with the second data; generating a third update information by executing an operation that compares the first update information and the second update information; generating a third data by applying the third update information to the second data; allowing a user to select via a display device which of the different update elements to update the second data; generating a fourth update information by determining the selected different update elements to update the second data; and updating the second data using the fourth update information.

Abstract: Among other things, methods, systems and computer program products for providing visual indication of documentation and coding of medical procedures may include providing a choice of medical codes associated with a medical procedure. A user selection of one of the medical codes is detected. Based on the detection, a visual indication of the user selection is generated on one or more anatomical diagrams.

Abstract: Systems and methods to select a product title are described. The system identifies a set of item listings respectively describing items being offered for sale on a network-based marketplace. Each item listing includes a product identifier that matches and is not associated with a product title on the network-based marketplace. Each item listing also includes an item title. The system extracts feature values from the item listings and processes the feature values. The system evaluates the feature values to adopt a product title from an item title included in the set of item titles. The system generates a product user interface including the product title. Finally, the system communicates the product user interface, over a network, for display on a client machine. The product user interface includes the product title.

Abstract: A medical information navigation engine (“MINE”) is capable of inferring referral activity not reported into a referral workflow system by utilizing intent-based clustering of medical information. The intent based clustering reconciles received medical data, from a variety of sources, and then clusters the data by applying one or more clustering rules. After the referrals not otherwise reported are inferred, they may be utilized to generate metrics that can be utilized to enhance patient care, and reduce costs. Metrics may be generated for both in-network and out-of-network referrals in order to distinguish differences in reporting activity.

Abstract: Methods, apparatuses, and systems are disclosed for analyzing quality control (QC) strategies that are applied to testing processes an analyte in order to meet an acceptable level of probability of patient harm that could result from incorrect test results. The measure of patient harm takes into account severity of patient harm, as well as its occurrence. Methods include calculating, based on the parameters of the QC strategies and the test apparatus, an expected number of incorrect final results E(Nuf) due to a test system failure. The value of E(Nuf) can be used as part of a calculation of a predicted level of probability patient harm. The ratio of the acceptable level of probability of patient harm to the predicted level of probability patient harm can determine the adequacy of the QC strategies.

Abstract: A system for updating a descriptor trail using artificial intelligence. The system is configured to display on a graphical user interface operating on a processor connected to a memory an element of diagnostic data. The system is configured to receive from a user client device an element of user constitutional data. The system is configured to display on a graphical user interface the element of user constitutional data. The system is configured to prompt an advisor input on a graphical user interface. The system is configured to receive from an advisor client device an advisor input containing an element of advisory data. The system is configured to generate an updated descriptor trail as a function of the advisor input. The system is configured to display the updated descriptor trail on a graphical user interface.

Abstract: Provided are a system and a computer program for managing and predicting thyrotoxicosis using a wearable device. The system for predicting thyrotoxicosis is a system for predicting thyrotoxicosis using a resting heart rate, the system including a wearable device for measuring the heart rate of a patient at regular intervals, and a bio-signal computing device for receiving heart rate information from the wearable device, the bio-signal computing device outputting a warning alarm when a resting heart rate is greater than a reference heart rate when the patient is in a normal state.