Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for adjustable data collection for individual and community disease management. In some implementations, user input data is provided by one or more individuals in a community to one or more user devices. Trigger data is accessed indicating one or more data collection triggers associated with monitoring of a disease. A particular data collection trigger indicated by the trigger data is detected by determining that the one or more criteria for the particular data collection trigger are satisfied. In response to detecting the data collection trigger: content is selected to prompt user input; a set of individuals associated with the community is selected to receive the selected content; and the user devices present the selected content that is configured to prompt for user input regarding of the type of data associated with the detected data collection trigger.

Abstract: Methods and systems for outputting an engagement communicative strategy are described. In an example, a processor may train a communicative model using a patient authored text corpus. The processor may generate at least one patient profile based on the patient authored text corpus and patient authored health data. The processor may construct a knowledge based system based on the communicative model and the at least one patient profile. The processor may input a patient profile of the entity, an engagement degree, and an engagement score to the knowledge based system. The processor may execute the knowledge based system to determine the engagement communicative strategy, and may output the engagement communicative strategy. The engagement communicative strategy may specify a communication scheme to communicate with the entity.

Abstract: The present disclosure provides a method, an apparatus, and a system for health management. The method includes: receiving, from a graphical interface of a first user terminal, login information of a first user account, the first user terminal having a memory, a processor, and a measurement sensor; obtaining, by the first user terminal, physiological data of a user based on a measurement value detected by the measurement sensor; storing the physiological data into a medical record corresponding to the first user account; and sending, by the first user terminal via a server, the physiological data to a second user terminal associated with the first user account remotely.

Abstract: A system and method determines efficiency data of a technician performing a Medical Data Acquisition Procedure (MDAP), using a Medical Data Acquisition System (MDAS). The method includes receiving timing data including Digital Imaging and Communications in Medicine (DICOM) metadata obtained during the MDAP by the MDAS. The DICOM metadata includes time duration information relating to each of a plurality of stages of the MDAP. The method includes determining the efficiency data of the technician as a function of the timing data and predetermined efficiency data defined for the MDAP using the MDAS.

Abstract: Techniques for sectionalizing clinical documents are provided. In one set of embodiments, a computer system can, for each page of a clinical document: identify one or more section header candidates in the page and, for each section header candidate, attempt to classify the section header candidate as corresponding to one of a plurality of section types using a first classifier or a second classifier. The computer system can further partition the page into one or more sections based on corresponding section header candidates that have been successfully classified using either the first classifier or the second classifier, where the partitioning includes associating each section with a section type in the plurality of section types in accordance with the classification of the section's corresponding section header candidate. The computer system can then validate, for each section, the section's section type via an analysis of the body of the section.

Abstract: Systems and methods for remote and host monitoring communication are disclosed. In some implementations, monitoring systems can comprise a host monitoring device associated with a Host communicatively coupled to one or more remote monitoring devices associated with Remote Monitors. The host monitoring device can send communications based at least in part on analyte measurements of a Host sensor and/or other contextual data giving such measurements context. Different remote monitoring devices can receive different communications based at least in part on the role of the respective Remote Monitors relative to the Host. These roles can be reflected in classifications of Remote Monitors.

Abstract: Embodiments of the invention are directed to a system, method, or computer program product for a medical diagnostic platform. The system accesses data collected on one or more source server systems and selectively extracts user information according to the desired criteria of an operator or user. The system generates a secure, user database, wherein the user database comprises the selectively extracted user information, such as medical, financial, and demographic information, from multiple source server systems creating a centralized database of user information stored in a single location. The system further generates a medical diagnostic analysis of the user in comparison to similar users and displays recommended and extrapolated results for diagnoses, procedures, treatments, and costs for the user based on the history of the similar users.

Abstract: An interface displaying a plurality of previously determined wellness scores for a plurality of patients may be generated and provided to a display device. The patients may each be associated with a patient characteristic, a treatment, and/or a diagnosis. In some instances, the patients may be associated with a particular treatment provider or group of treatment providers and plurality of previously determined wellness scores may enable a treatment provider to quickly view (via the interface) the current wellness of patients under his or her care. In other instances, the plurality of previously determined wellness scores may be associated with a diagnosis and a corresponding treatment so that the interface provides the wellness scores for patients who have undergone the treatment and a viewer may observe how the treatment impacted the wellness scores for the patients.

Abstract: Embodiments for implementing an intelligent health recommendation service by a processor. A health state of a user may be learned according to user behavior, physical conditions of the user, activities of daily living (ADL) and associated context of daily living (CDL) of the user, or a combination thereof. One or more applications, one or more application components, one or more internet of things (IoT) devices, or a combination thereof may be identified and recommended to minimize one or more possible negative impacts upon the health state of the user.

Abstract: Methods for providing a computer implemented medical diagnosis are provided. In one aspect, a method includes receiving an input from a user comprising at least one symptom of the user, and providing the at least one symptom as an input to a medical model. The method also includes deriving estimates of the probability of the user having a disease from the discriminative model, inputting the estimates to the inference engine, performing approximate inference on the probabilistic graphical model to obtain a prediction of the probability that the user has that disease, and outputting the probability of the user having the disease for display by a display device.

Abstract: Systems and methods are provided for identifying one or more health care applications in which a search request is received from a user at a remote client device. The request comprises an alphanumeric query and filtering criteria. A plurality of applications is searched to identify applications that satisfy the filtering criteria and further match the alphanumeric query thereby identifying a set of matching applications. Each respective application in the plurality of applications is (i) for a clinical indication and (ii) includes an evidence score generated by health care providers. The search query response is formatted for display by sorting the matching applications by sorting criteria thereby forming a sorted list of matching applications. At least a portion of the sorting criteria is the evidence score. The search query response, including the sorted list of matching applications, is communicated to the remote client device.

Abstract: A method for securely relaying personal data between a telemedicine device and a remote terminal via a proxy server includes establishing a communication link between the telemedicine device and the proxy server over a first communication network. A request, including authentication access data, is received from a remote terminal for a remote user to assess personal data of a telemedicine device user. Upon validating the authentication access data to approve access to the personal data on the telemedicine device by the remote user, the personal data is relayed between the telemedicine device and the remote terminal in a remote assess session while preventing secure personal data of the telemedicine device user from being sent to the proxy server. If the telemedicine device communicates over a second communication network, the communication link is re-established with the proxy server over the second communication network without terminating the remote access session.

Abstract: A health safety method executed by a processor includes receiving, by the processor, from a medical facility, a certificate of vaccination for a particular disease for an individual, the vaccination conferring immunity to the individual for the disease; receiving by the processor an access request from a venue for the individual; and responding to the venue access request by providing a health safety certification including the certificate of vaccination for the individual and an effective date range of the certificate of vaccination.

Abstract: A health status platform includes a receiving component that receives a test result a test of a biological sample collected from a human patient. The test result includes an indication of a presence of an infectious disease in the patient, and an identification and a verification of the patient. The platform includes a certificate component that issues a certificate of origin of the biological sample; and a data merging component that cooperates with a venue access manager that controls access to a venue. The data merging component implements a distributed ledger system that stores encrypted test results of the patient and the identification and verification of the patient, and an end-to-end encryption system that receives an encrypted venue access request from a venue access manager, decrypts the access request, determines if an access request is valid, and if valid, provides an encrypted certificate of origin to the venue access manager.

Abstract: An apparatus tracks patient recovery following an orthopedic procedure. A statistical computing engine implements a predictive model of the patient's post-procedural state for the orthopedic procedure based on a database of patient demographic data, comorbidities, pre-procedural walking parameters, including steps taken, and the orthopedic procedure that the patient is undergoing. The pre-procedural walking parameters are populated from physical sensor data automatically collected from the patient. The predictive model creates a temporal trendline of post-procedural walking parameters, including steps taken, and a temporal trendline of post-procedural pain level. A processor then compares the patient's actual post-procedural state to the predictive model of the patient's post-procedural state. The post-procedural walking parameters are also obtained from the physical sensor.

Abstract: Methods for providing a computer implemented medical diagnosis are provided. In one aspect, a method includes receiving an input from a user comprising at least one symptom of the user, and providing the at least one symptom as an input to a medical model. The method also includes deriving estimates of the probability of the user having a disease from the discriminative model, inputting the estimates to the inference engine, performing approximate inference on the probabilistic graphical model to obtain a prediction of the probability that the user has that disease, and outputting the probability of the user having the disease for display by a display device.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for collecting monitoring data and predicting outcomes for communities. In some implementations, monitoring data is received, including location tracking data that indicates locations visited by individuals in a community. Community data for the community that describes characteristics of the community and a geographic region associated with the community is received. One or more predictive models are used to evaluate regions for potential for transmission of a disease based on behavior patterns of individuals in the community. The one or more predictive models can be models trained based on training data describing a plurality of different communities and behavior patterns and disease outcomes of individuals in the different communities over time.

Abstract: A computer system provides nutrition-based management of health conditions using machine learning. Health information of a user is evaluated to determine a health condition. Medication information for the user is analyzed and the medication information is mapped to the health condition. One or more natural treatments for the user are determined from information sources based on the mapped health condition and medication information, wherein the one or more natural treatments include one or more from a group of nutrition and mind/body treatments, and wherein the information sources include information from crowdsourcing. The one or more natural treatments and medication information for the health condition are indicated. Embodiments of the present invention further include a method and program product for providing nutrition-based management of health conditions using machine learning in substantially the same manner described above.

Abstract: A system and associated method for alerting to ambiguous medical advice through a data analysis system connected to one or more data sources and a client terminal. The data analysis system has an extraction system, a machine learning system, a categorization system, and an alerting system. The data analysis system extracts first information related to outcomes of one or more medical treatments from one or more first data sources, extracts second information related to outcomes of one or more medical treatments from one or more second data sources, and applies machine learning to the extracted first information and second information to develop a classifier for categorizing proposed treatments. The data analysis system also categorizes a proposed treatment or a combination of treatments as potentially harmful based on the classifier, and provides an alert to a client terminal regarding the proposed treatment.

Abstract: An integrated multi-facility document management system is configured to allow an access right attribute to be dragged and dropped from one tree form to a root of a another tree form whereby when the access right attribute is dragged and dropped from the one tree form to the root of the other tree form a corresponding access right attribute of the root is changed to the access right attribute and a corresponding access right attribute in branches connected to the root is changed to the access right attribute.