Abstract: A system and method are provided for collection and testing of a biologic sample in a self-diagnostic test. The system and method comprise collecting by a user of a testing device a biologic sample for use with the testing device, assigning correlative values as test results, and receiving the test results at a server disposed on a network. Some aspects include a mobile application operating on a mobile device with which the user interacts. These aspects allow advertisements and other messages to be presented to the user through the mobile application. Some aspects present different messages to the user based on the type of self-diagnostic test the user is conducting.

Abstract: A system for nutritional recommendation using artificial intelligence analysis of immune impacts includes a computing device designed and configured to receive a test result detecting an effect of at least an aliment on at least a biomarker, determine an immune system impact of the at least an aliment as a function of the at least a biomarker using a machine-learning process, the machine-learning process trained using a first training set relating biomarker levels to immune system function, generate a nutritional recommendation using the determined immune system impact, and provide the nutritional recommendation to the user.

Abstract: A system and method are provided for collection and testing of a biologic sample. The system and method comprise collecting by a user of a testing device a biologic sample for use with the testing device, assigning correlative values as test results, and receiving the test results at a server disposed on a network. Some aspects further include presenting advertisements and other messages to users through a mobile application operating on a mobile device. These aspects take into account the results of the self-diagnostic test and present different advertisements to the user based on the results of the test.

Abstract: Computer based methods, systems, and computer readable media for providing genomic services are provided. A request is received from a user. The request is applied to one or more from a group of a personalized data repository for the user and supporting knowledge bases, wherein the personalized data repository includes genetic test results, health/clinical information, and insurance coverage, and wherein the knowledge bases include information pertaining to genetic tests and clinical guidelines. Data from the applied request is integrated with results from service modules performing one or more from a group of content search, variation interpretation, and report generation to produce results for the request. The personalized data repository and supporting knowledge bases are updated based on the results of the request. Surveillance services are triggered based on one or more events.

Abstract: A method and system are disclosed for performing supervised outcome-driven persona-typing, including receiving a first data set having patient specific data, treatment data, and outcome data for each of a plurality of first patients. Once received, the plurality of first patients are grouped based on the first data set, and a persona for each of patient groups is generated. A second data set may then be received for a second patient including second patient specific data. A comparison is then carried out on the second data set to identify an existing persona, and then associate the second patient with the identified persona. Based on each of the above steps, a patient care plan is then created.

Abstract: Provided are mechanisms and processes for a virtual waiting room. According to various examples, the system includes a medical schedule processor that logs when a medical professional enters an examination room to conduct an examination of a patient and compares this time with scheduling information to predict whether future appointments on that day will be delayed. The scheduling information is cryptographically separated from Health Insurance Portability and Accountability Act (HIPAA) information. The system also includes a notification interface that sends data including current appointment status of the medical professional, predicted delays, and modified appointment times for each appointment for the day to a medical scheduling management app that is viewable by patients of the medical professional. The predicted delays and modified appointment times are updated periodically.

Abstract: A method includes obtaining prescribing drug information and published guidelines for each of a plurality of ADMs available for managing glucose levels, and receiving patient information associated with a patient. The method also includes ordering total demerit values from lowest to highest, selecting a predetermined number of recommended ADMs associated with the lowest total demerit values, and determining a recommended dosage for each recommended ADM. The method also includes transmitting a therapy regimen to a patient device associated with the patient. The therapy regimen includes the recommended ADMs and the recommended dosage for each recommended ADM.

Abstract: Medical diagnostic images that are embedded with contact messages about a professional are sent to a patient for sharing with others. Although the images may be obtained using any of a variety of imaging devices, in some instances, the images may be obtained using a soft-tissue-injury diagnostic system for diagnosing soft tissue injury within a patient. A visual display is configured and arranged for receiving and displaying the medical diagnostic image. Personalized contact messages are then embedded within the image as a watermark to with information about the professional, such as an electronic business card, contact information, or hyperlinks to additional information. The sharable image with embedded messages is electronically sent to the patient for sharing with others. Personalized contact messages may also be embedded in non-medical images for sharing with others.

Abstract: A method for operating an apparatus for predicting confirmed cases of an infectious disease is provided. The method comprises predicting infectious disease information per country, including an infection risk per country, expected number of entrants per country, and number of imported cases per country, based on collected epidemic statistics data per country and inflow data between a corresponding country and a destination country, grouping two or more countries based on geographic or economic relevance, and correcting the infectious disease information per country of countries within a grouped group according to a contagion risk impact set depending on a correlation between the countries within the group, and predicting total number of imported cases flowing into the destination country by re-correcting the infectious disease information per country through applying a correlation for the confirmed cases of the infectious disease between groups to the infectious disease information per country.

Abstract: A system and method provide dosage information from past trials of potential subjects to clinics performing drug research so the clinics can determine if the potential subjects qualify (i.e. have waited sufficient time) to qualify for second trial. The system provides a clearinghouse that does not divulge the prior trials proprietary information to the requestor. Likewise, the system does not divulge to prior trial holders who is requesting subject information for subsequent trials. Biographical information including biometric identification can be used to identify subjects in the database. A further method allows a subject to confirm the data in the database.

Abstract: Techniques for administering a care plan for a patient. A monitoring device is selected, at a care plan management system based on a care plan, to use in administering the care plan. The care plan specifies biometric data to monitor for a patient. The monitoring device is configured to collect the biometric data, based on the care plan. The biometric data collected using the monitoring device is received at the care plan management system. The biometric data includes a first event initially classified as a first type of event using the monitoring device. The first event is selected for reclassification, based on the initial classification, and in response the first event is reclassified as a second type of event using the care plan management system. The patient is treated based on the care plan and the reclassified first event.

Abstract: Methods, non-transitory machine readable media, and network stack analysis devices that generate optimized preferred provider organization (PPO) network stacks are disclosed. With this technology, electronic transactions are applied to each of a first plurality of network stacks to determine a cost reduction value for each of the first network stacks. Each of the first network stacks includes an ordered subset of networks. The first network stacks are resampled based on the determined cost reduction values. A determination is made when one or more convergence criteria are met by the resampled first network stacks. When the determination indicates that the convergence criteria are not met by the resampled first network stacks, one or more of the first network stacks are modified based on genetic crossover or mutation operation(s) to generate a second plurality of network stacks. The application, resampling, and determination are then repeated for the second network stacks.

Abstract: Determining cohesion of healthcare systems and facilities based on billed claims. A method includes determining a target procedure billing identifier associated with one or more of a healthcare system or a healthcare facility and identifying a practitioner associated with a facility claim comprising the target procedure billing identifier. The method includes identifying a plurality of facility claims billed by the practitioner over a time period and calculating a proportion of the plurality of facility claims that comprise the target procedure billing identifier.

Abstract: An analysis apparatus comprises: a generation module configured to generate a second piece of input data having a weight for a first feature item of a patient based on: a first piece of input data relating to the first feature item; a second feature item relating to a transition to a prediction target in a clinical pathway relating to a process for diagnosis or treatment; and a clinical terminology indicating relevance between medical terms; a neural network configured to output, when being supplied with the first piece of input data and the second piece of input data generated, a prediction result for the prediction target in the clinical pathway and importance of the first feature item; an edit module configured to edit the clinical pathway based on the prediction result and the importance output from the neural network; and an output module configured to output an edit result.

Abstract: A first terminal determines a collection date of a somatic cell based on a desired collection date and a collectable date transmitted by a second medium; and outputs the collection date to a first medium. A second terminal outputs the collectable date to the second medium; and determines an acceptance date based on the collection date transmitted by the first medium and a production period of an iPS cell transmitted by a third medium. A third terminal determines the production period based on the collection date and a producible period, and determines a shipment date based on the production period and stockable location and period transmitted by a fourth medium; and outputs the production period to the third medium. A fourth terminal outputs the stockable location and period to the fourth medium; and determines stock location and period based on the production period and the stockable location and period.

Abstract: A subject is prescribed short and long acting insulin medicament regimens. When a qualified fasting event occurs, the basal insulin sensitivity estimate of the subject is updated using (i) an expected fasting blood glucose level based upon the long acting insulin medicament dosing specified by the long acting regimen during the fasting event, (ii) glucose measurements contemporaneous with the fasting event and (iii) a prior insulin sensitivity factor. A basal insulin sensitivity factor curve is calculated from the updated basal insulin sensitivity estimate. A bolus insulin sensitivity estimate of the subject is updated upon occurrence of a correction bolus with a short acting insulin medicament using (i) an expected blood glucose level based upon the correction bolus, (ii) glucose measurements after occurrence of the correction bolus, and (iii) a prior insulin sensitivity factor. A bolus insulin sensitivity factor curve is calculated from the updated bolus insulin sensitivity estimate.

Abstract: A system for an iPS cell bank includes a terminal and a server. The terminal receives and sends a production request including a desired collection date of a somatic cell and a customer ID to the server. The server stores a collectable date for collecting the somatic cell, a producible period for producing an iPS cell, and a location and a stockable period for stocking the iPS cell; and determines: a collection date based on the desired collection date and the collectable date; a production period based on the collection date and the producible period; an acceptance date of the somatic cell based on the collection date and the production period; a stock location and a stock period based on the production period, the stockable location, and the stockable period; and a shipment date of the iPS cell based on the production period, the stockable location, and the stockable period.

Abstract: A method, assigning a medical device from a data network to a location, includes: receiving a group message, having a medical device data network address; providing a first data set, indicating network addresses of active network components; and sending request messages to active network components, indicating a data network address thereof and data network address of the medical device. An acknowledgment message from a defined active network component indicates the data network address and a port identity thereof and data network address of the medical device. A second data set is provided indicating an assignment of tuples of active component data network addresses and port identities to locations. The medical device is assigned a location based on the second data set, the data network address of the defined active component and the indicated port identity. An assignment data set is provided indicating an assignment of medical device to assigned location.

Abstract: A mechanism is provided in a data processing system comprising a processor and a memory, the memory comprising instructions that are executed by the processor to specifically configure the processor to implement a question prediction and answering engine for predicting questions a medical professional is attempting to answer. An interaction monitoring component monitors interaction of a medical professional with a patient electronic medical record (EMR). A question selection component selects a set of questions the medical professional is attempting to obtain an answer to from the patient EMR. The question prediction and answering engine analyzes the patient EMR to generate a set of answers to the set of questions from at least a portion of the patient EMR and outputs a report correlating the set of questions and the set of answers to the medical professional.

Abstract: Disclosed medical data processing method for planning an external ventricle drainage placement, wherein the method comprises executing, on at least one processor (3) of at least one computer (2), the following steps: a) patient image data describing at least one image of an anatomical structure of a patient is acquired (S1); b) atlas data describing a model of the anatomical structure is acquired (S2); c) mapping data describing a mapping of the patient image data to the atlas data is determined (S3); d) spatial relationship data is acquired (S4) which describes a predetermined spatial relationship between at least one potential trajectory for placing the external ventricle drainage in the anatomical structure on the one hand and a surface of the anatomical structure on the other hand; e) entry point data is determined (S5) which describes the position of an entry point (13) of the external ventricle drainage on the surface of the anatomical structure based on the mapping data and the spatial relationship dat