Abstract: The present invention is a distribution management method comprising: previously storing an image characteristic of an epidermal pattern in a predetermined collation area of the agricultural, forest and fishery product to be produced or shipped by a producer or a distributor; imaging the epidermal pattern in the collation area of the agricultural, forest and fishery product, being a collation target, and acquiring the image characteristic of the epidermal pattern in the collation area; and collating the stored image characteristic of the epidermal pattern with the image characteristic of the epidermal pattern in the collation area of the agricultural, forest and fishery product, being a collation target, and determining whether or not the agricultural, forest and fishery product, being a collation target, is the agricultural, forest and fishery product produced or shipped by the producer or distributor.

Abstract: Systems and methods are described for automatically processing data stored in one or more databases using machine learning to detect entities (such as health care providers, health care plan members, patients, pharmacies, and so forth) associated with health care claims that are suspected of fraudulent, wasteful, and/or abusive activity. The techniques may further or alternatively involve generating and presenting, for a set of suspected entities, natural language explanatory information explaining how and/or why each of the respective suspected entities is considered to be suspected of fraudulent, wasteful, and/or abusive activity. Feedback provided by fraud analysts and/or other subject matter experts in the misuse detection space is used to facilitate misuse detection and misuse detection presentation.

Abstract: Methods, computer systems, and computer storage media are provided for providing a third-party user HIPAA-compliant access to an electronic medical record system at a clinical site. A request for a clinical study participant list is received from the third-party user, and it is determined that the third-party user has viewing and access rights with respect to the clinical study participant list. The third-party user can select a participant on the clinical study participant list and access the participant's electronic medical record within the electronic medical record system. The electronic medical record is presented to the third-party user in a read-only view, and the third-party user is prevented from searching the EMR system for other electronic medical records.

Abstract: A medical monitoring system extracts characteristic information for one or more medications from an image of the one or more medications on an uncontrolled background, the image being taken by a client device associated with a user of the medical monitoring system. The medical monitoring system determines prescription information associated with a medication, of the one or more medications, using the extracted characteristic information and a medication database, the medication database containing mappings between prescription information and characteristic information for a plurality of medications. The medical monitoring system provides a portion of the prescription information to the client device.

Abstract: A catalog (34) of molecular marker tests specifies molecular marker tests annotated with clinical applicability annotations. An electronic patient medical record (22) stores genetic sequencing data (20) of a patient. A clinical decision support (CDS) system (30) is configured to track the clinical context of the patient wherein the clinical context includes at least a disease diagnosis and a current patient care stage. A catalog search module (32) is configured to search the catalog of molecular marker tests to identify a molecular marker test having clinical applicability to the patient in the clinical context tracked by the CDS system. The search is automatically triggered by occurrence of a trigger event defined by a set of triggering rules. A testing module (44) is configured to perform a molecular marker test identified by the identification module in silico using the genetic sequencing data of the patient stored in the electronic patient medical record.

Abstract: A method and system for identifying clinical trial sites is provided. The method includes receiving clinical trial data associated with a plurality of planned clinical trials. Portions of the clinical trial data are identified based on differing data sources. Relevant information is extracted from the portions. Socioeconomic data, demographics data, and epidemiological data are received and combined into a common format. Incorrect address data is corrected and the clinical trial data, socioeconomic data, demographics data, and epidemiological data are standardized. In response, an initial list is generated. The initial list includes associated principle investigators and clinical trial sites associated with planned clinical trials overlaid on the clinical trial data, the socioeconomic data, the demographics data, and the epidemiological data.

Abstract: A method for generating and provisioning payment credentials to a mobile device lacking a secure element includes: generating a card profile associated with a payment account, wherein the card profile includes at least payment credentials corresponding to the associated payment account and a profile identifier; provisioning, to a mobile device lacking a secure element, the generated card profile; receiving, from the mobile device, a key request, wherein the key request includes at least a mobile identification number (PIN) and the profile identifier; using the mobile PIN; generating a single use key, wherein the single use key includes at least the profile identifier, an application transaction counter, and a generating key for use in generating a payment cryptogram valid for a single financial transaction; and transmitting the generated single use key to the mobile device.

Abstract: A computer-implemented method includes generating a matching rule defined by a user, where the matching rule is a clear text rule, and receiving a transaction message that includes patient data from one or more health care facilities, where the patient data includes one or more patient health care events. A custom extension to a relational database is generated based on the received patient data, and the generated matching rules is applied to the received patient data at the custom extension to the relational database. Related patient event records within the custom extension to the relational database are identified and the related patient event records are configured based on the applied matching rule.

Abstract: An infusion pump including an interface unit for receiving first data for a first infusion regimen for a medication, the first regimen including a first unit of measure in which the first regimen is executed and after receipt of the first data, second data for a second infusion regimen for the medication, the second regimen including a second unit of measure in which the second regimen is executed. The pump also includes a processor for comparing the first and second units of measure. In one embodiment, the pump includes a graphical user interface, and the processor identifies a difference between the first and second units of measure; generates, using the processor, a warning message; and displays the message on the graphical user interface. In another embodiment, the processor holds in abeyance initiation of the second infusion regimen in response to identifying the difference between the units of measure.

Abstract: A system provides an overview of patient medical condition identifying both long term and short term medical conditions. The system includes a designation processor for designating an identified patient medical condition as being long term in response to user command. At least one repository stores information associating a designated long term patient medical condition with a patient and with multiple encounter identifiers identifying corresponding interactions of the patient with a healthcare provider organization and medical conditions associated with the encounters. A user interface initiates generation of data representing a composite display image window including data identifying a designated long term patient medical condition together with encounters and medical conditions associated with the encounters providing a user an overview of long term and short term medical conditions of a patient.

Abstract: A computing platform configured to receive and process an on-demand real-time patient-specific data analysis order is provided. The computing platform can receive an order, determine the viability of the order, and then perform the desired analysis based on parameters provided within the order. As part of the analysis, the computing platform can mine one or more data sources to collect data relevant to the ordered diagnostic. Once the data is collected, the computing platform can analyze the data according to one or more pre-programmed algorithms. The selection of which algorithms to apply to the data set can be determined by the type of on-demand real-time patient-specific data analysis ordered. The on-demand real-time patient-specific data analysis in some examples can be ordered using an external ordering user interface.

Abstract: A computer-implemented method for managing imaging protocols among a plurality of image scanners includes creating parent node data records, each respective parent node data record corresponding to a distinct type of image scanner. Imaging protocols are stored, each imaging protocol associated with a distinct parent node data record included in the parent node data records. Next, a child node creation process is performed for each respective image scanner. The child node creation process may include, for example: determining a respective image scanner type associated with a respective image scanner; identifying a respective parent node data record corresponding to the respective image scanner type; creating a child node data record associated with the respective parent node data record; identifying a respective imaging protocol associated with the respective parent node; and storing a copy of the respective imaging protocol at the respective scanner.

Abstract: The present invention provides systems and methods of managing planning and delivery of an orthodontic treatment using planning tools, treatment guidelines, instructions and appointment planning tools customized to the individual patient being treated, as well as tools and methods for tracking delivery and patient progression through an orthodontic treatment plan.

Abstract: A system and method for automatically integrating data with guidelines to generate displays containing the guidelines and data. The automated system and method can integrate patient data with treatment guidelines to assist a healthcare provider, such as a physician or the like, in providing treatment to the patient. The system and method employ a data storage component, adapted to store guideline data representing guidelines for assessing a condition of an entity, guidelines for taking action on the entity, or both, and to store feature data representing at least one feature of the entity. The system and method further employ an output device, adapted to output at least one diagram representing the guideline data, with the diagram including at least one component representing a relationship of at least a portion of the feature data to at least a portion of the guideline data.

Abstract: A method of segmenting one or more soft tissue organs in a 3-D medical image includes registering the image to a bone atlas which also lists landmarks of the organs. Voxels of the image are identified as corresponding to listed landmarks of the organs, based on their position relative to one or more known bones in the registered image. At least one organ is segmented using at least one of the voxels identified as belonging to that organ as a starting point.

Abstract: Provided herein are computer-based systems, software, and methods of using the same including a daily patient questionnaire, the questionnaire comprising: a question for determining whether the patient avoided solid food; a question for determining whether the patient had difficulty swallowing solid food; a question for determining what action the patient took to correct or relieve difficulty swallowing food; a question for determining the amount of pain the patient experienced while swallowing food; and a software module configured to apply an algorithm to answers to one or more of said questions to determine a score, wherein said score illustrates one or more selected from the group consisting of: (1) severity, intensity, or frequency of patient dysphagia; (2) suitability of a patient for a particular diagnostic tool, diagnostic method, or therapy for dysphagia; and (3) efficacy of a particular therapy for dysphagia.

Abstract: Approaches presented herein enable performing a health analysis of a user using a smart floor mat. Specifically, a sensory array of the smart floor mat collects static and dynamic pressure data for capturing the movement and force exerted by a user's feet as the user walks across the smart floor mat. A healthcare analysis is then performed by comparing this current measurement data against the user's historical measurement data and expected results to generate a healthcare insight such as a trend, pattern, or deviation. The healthcare insight can predict or indicate a health issue. If a deviation exceeding a predefined permissible threshold exists, a healthcare professional can be notified.

Abstract: Systems and methods are provided for augmented reality payments. An augmented reality display may include product information and/or payment information images displayed over an image of one or more real world background objects. The augmented reality display may be displayed on a display of a mobile user device such as a smartphone or tablet or on a structure of a vehicle such as a vehicle windshield. The real world background objects may include a merchant store. The product information and/or the payment information may be overlaid on the merchant store as viewed through a vehicle windshield or as viewed in an image of the merchant store captured by a camera of the user device. The user may be provided with the ability to select one or more items for purchase, make one or more payments, or execute other transactions by interacting with the augmented reality display.

Abstract: A method, an apparatus, and a program of predicting an obstacle course, capable of appropriately predicting a course of an obstacle even under a complicated traffic environment, are provided. For this purpose, the course, which the obstacle may take, is predicted based on the position and the internal state of the obstacle, and at the time of the prediction, a plurality of courses are probabilistically predicted for at least one obstacle. When there are a plurality of obstacles, the course in which different obstacles interfere with each other is obtained from the predicted courses, which a plurality of obstacles may take, and the predictive probability of the course for which the probabilistic prediction is performed from the courses in which they interfere with each other is lowered. Probability of realizing each of a plurality of courses including the course of which predicted probability is lowered is calculated.

Abstract: Implementations are directed to providing a user of a mobile device access to patient information and patient physiological data. Actions can include receiving user input, the user input indicating a user command to display a vitals screen for a particular patient, processing patient-specific data and trend data to provide one or more trend graphs, and displaying the vitals screen on the mobile device, the vitals screen including a first display region and a second display region, the first display region displaying one or more trend graphs, and the second display region displaying one or more vitals data sets, each vitals data set corresponding to a trend graph displayed in the first display region.