Abstract: A system and method for medical image based patient-specific ischemic stroke risk prediction is disclosed. Left atrium (LA) and left atrium appendage (LAA) measurements are extracted from medical image data of a patient. Derived metrics for the LA and LAA of the patient are computed using a patient-specific computational model of cardiac function based on the LA and LAA measurements extracted from the medical image data of the patient. A stroke risk score for the patient is calculated based on the extracted LA and LAA measurements and the computed derived metrics for the LA and LAA of the patient using a trained machine learning based classifier, which inputs the extracted LA and LAA measurements and the computed derived metrics for the LA and LAA as features.

Abstract: A health provider matching service is provided to match patients to health providers based on a semantic relationship graph of data associated with conditions of patients. Using natural language processing, the service identifies terms describing symptoms, treatments, and health providers associated with a condition. The service then identifies semantic relations among the terms and probability distributions of the terms to generate a semantic relationship graph. Quality information of therapists is combined with machine learning techniques to identify features that are used to distinguish high quality and low quality providers. Based on the semantic relationship graph and the derived quality information, the service matches a patient to a health provider suitable to treat the particular needs of the patient. The service also handles social, behavioral, or emotional issues for which medications are not appropriate.

Abstract: A medical apparatus is adapted to facilitate a transfer of data to a computer system using a mobile device. The apparatus has a store of data, a display and a controller that generates a barcode encoding an access address for the computer system and the data, and displaying the barcode on the display.

Abstract: A system for calculating similarities between drugs and using the similarities to extrapolate side effects of a specified drug comprising: a similarity-computation apparatus configured to use open data to compute similarities between drugs, with: a data integration module configured to obtain data related to a set of drugs from a plurality of open data sources and to integrate the data to generate RDF triples; an RDF module configured to store an RDF graph of the RDF triples: and a similarity calculation module configured to retrieve a list of all the drugs present in the RDF graph and to calculate the similarity of each drug with every other drug in the RDF graph, for storage in a similarity database; and a side effect determining apparatus configured to extrapolate side effects of a specified drug from open data related to the set of drugs, with: a connection to the similarity database; a user interface configured to allow a user to specify a drug from the set of drugs; a neighbours ranking module configure

Abstract: A host-client data sharing system manages diabetes care data. A host database, preferably web or internet based, is implemented for storing diabetes care data relating to multiple diabetics. A client or local database stores the diabetes care data relating to multiple diabetics on a personal appliance such as a PC, or a portable or handheld microprocessor-based computing device. The host database uses multiple servers for handling client interactions with the system.

Abstract: A framework for patient management based on anatomic measurements is described herein. In accordance with one aspect, patient records are clustered into a set of sub-populations based on first anatomic measurements and characteristics extracted from first patient data associated with a population of patients. A representative sub-population similar to a patient may be determined from the set of sub-populations based on the patient data of the patient. A report that presents the second anatomic measurements associated with the patient in relation to corresponding first anatomic measurements associated with the representative sub-population may then be generated.

Abstract: Mechanisms are provided for administering health care assessments to a patient. The mechanisms analyze patient information stored in a patient registry and determine a plurality of health care assessments to be administered to the patient based on the patient information and one or more pre-defined health care assessment guidelines specifying conditions for which health care assessments are to be administered to patients and timing for administering the assessments to the patients. The mechanisms generate a sequence of health care assessments, in the plurality of health care assessments, based on the guidelines and the patient information. The sequence comprises an ordering of the health care assessments, and a timing interval between health care assessments, determined based on the guidelines and the patient information. The mechanisms administer at least one health care assessment to the patient in accordance with the determined sequence of health care assessments.

Abstract: A method for adjudicating reimbursement for venom derived allergens between a pharmacist and a reimbursing entity comprises obtaining National Drug Codes (NDC's) for a plurality of venom derived allergens, storing in a central control database the obtained NDC's in association with an associated AWP and associated information for the venom derived allergen, which associated information includes translation information to allow practitioners to determine from a desired diluted level and number of doses of a desired NDC carrying venom derived antigen and a known dilution procedure how to translate back to the amount of base concentration of the NDC carrying venom derived antigen used to create the desired diluted level and number of doses, and determining if any of the NDC's in the central control database are contained within the third-party database and, if not, transferring the associated NDC's not in the third-party database to the third-party database.

Abstract: Provided is a service-provision management system with which the requirements of a large number of users can be fulfilled by a small number of assistants, and with which all of the users can receive services very easily as a result of implementing the highly flexible provision of care and assistance services. The present is provided with: an experience-information data-base which manages experience information related to users (5); and service-provision robots which provide services adapted for the users.

Abstract: An improved prescription prior authorization system is disclosed and described herein. The improved prescription prior authorization system provides an improved system and apparatus for prescription prescribers and other healthcare providers to satisfy prior authorization requirements as part of the prescription process. The improved prescription prior authorization system provides mechanisms to a prescriber of medication to more quickly and efficiently satisfy prior authorization requirements for a prescriber and to more quickly provide the prescription to the patient to improve the patient's overall health. The patient's overall health is improved because of the improved likelihood that the patient will receive the product that the prescriber wants to prescribe to the patient. The improved prescription prior authorization system also reduces prescription network traffic and improves the efficiency of the prescription network.

Abstract: Systems and methods for a comprehensive online healthcare platform are provided that increase the efficiency of the medication selection process. In one embodiment, a method comprises responsive to a query from the user via the user device, receiving a list of one or more medications identified from a storage device and receiving medication information about each identified medication in the list of the one or more medications from the storage device. The method further includes, calculating a user personalized grade for each of the identified medications based on the medication information and the user information, transmitting the user personalized grade and medication information to the user device and displaying simultaneously on the user device, the user personalized grade, cost factor, prescription experience data, and secondary technical effects of each identified medication.

Abstract: The present disclosure is related to processing, aggregating, and/or organizing data. A system may include a processor configured to process input data and identify a relationship amongst received input data in a data set. The system may also include an aggregator coupled to the processor and configured to receive processed data from the processor and aggregate data within the data set while maintaining one or more data relationships within the data set. Further, the system may include an annotation service module coupled to the aggregator and configured to generate at least one annotation that is maintained across at least a portion of the data within the data set.

Abstract: There is described a method for dynamically computing a patient dynamic risk score indicative of an adverse event occurring on a given day. The method comprises obtaining clinical documentation data, socio-demographic data, answers to remote patient monitoring questionnaires, and vital signs data. The method further comprises using, in a feedforward artificial neural network, the clinical documentation data, the socio-demographic data, the answers to remote patient monitoring questionnaires and the vital signs data to compute the patient dynamic risk score indicative of a risk indicative of the adverse event occurring on a given day.

Abstract: A method for controlling an information terminal causes a computer of the information terminal to receive, from a case retrieval system, a plurality of similar medical images having a feature quantity of a region of interest and a certain degree of similarity in accordance with the region of interest included in a target medical image, displays a display screen displaying the plurality of received similar medical images on a touch panel display, the display screen including a display region in which at least some of the plurality of received similar medical images are displayed, displays, if selection of a first similar medical image from among the at least some of the plurality of received similar medical images displayed in the display region is detected, the first similar medical image across the display region, and displays, if a swipe operation performed on the first similar medical image is detected, a second similar medical image, which has second highest similarity next to the first similar medical im