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: 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: 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: 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: 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: 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

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: A device for providing drug verification may work in conjunction with drug delivery devices such as medical pumps to provide a chemical and concentration analysis of drugs being delivered forming a signature that can be compared to a signature associated with the proper drug, reducing errors in medicine delivery and ensuring proper use of medicines throughout their lifecycle.

Abstract: A computer-implemented method for managing prescription benefits in prescription claim or inquiry requests performed by one or more computers in a prescription order processing system includes receiving a prescription claim request related to a consumer from a requesting entity. A crosswalk file is retrieved that comprises information from a plurality of health plan member files describing benefits available to the consumer provided by a plurality of benefit providers. The crosswalk file is used to automatically determine an order submission sequence indicating an order in which claim or inquiry requests corresponding to the benefits are submitted to the benefit providers. The claim or inquiry requests are submitted to the benefit providers according to the order submission sequence. Responses from the benefit providers are automatically aggregated in order to generate an aggregated response to the prescription claim request. The aggregated response is transmitted to the requesting entity.

Abstract: The present disclosure relates to the field of diagnostics, specifically, to a method of identifying progressing multiple sclerosis (MS) in a subject. At least one performance parameter is determined from a dataset of activity measurements obtained from the subject using a mobile device, and the performance parameter is compared to a reference, whereby a subject with progressing MS will be identified. Also disclosed is a method of recommending an anti-CD20 antibody therapy against MS that includes the steps just mentioned and the further step of recommending the anti-CD20 antibody therapy if the subject suffers from progressing MS. Also disclosed is a mobile device having a processor, at least one sensor and a database as well as software which is tangibly embedded to the device and, when running on said device, carries out the method of this disclosure as well as the use of such a device for identifying a subject suffering from progressing MS.

Abstract: Systems are provided for anonymously tracking and/or analyzing transitioning, flow or movement of individual subjects between health states or health-related subject states. There is provided a system for enabling anonymous estimation of the amount and/or flow of individual subjects, referred to as individuals, in a population transitioning and/or moving and/or coinciding between two or more health states or health-related subject states. The system receives identifying data from two or more individuals; generates, online and by one or more processors, an anonymized identifier for each individual; and stores: the anonymized identifier of each individual together with data representing a health state or health-related subject state; and/or a skew measure of such an anonymized identifier.

Abstract: Systems, methods and computer-readable media are provided for facilitating patient health care through automatic discovery, establishment, and statistical validation of diagnostic-signals in repositories of EMR information, identifying phenotypic diagnostic signals regarding markers or combinations or sequences of patient attributes.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium are provided, including a method for presenting information for treating patients. The method comprises presenting, in a user interface, a pathway for use in treating a patient with a disease and including a combination of therapeutic and diagnostic pathway elements including an integration of diagnostic, radiation, chemotherapy, surgical and other elements. The method further comprises augmenting the pathway including providing controls for accessing additional information associated with a given pathway element, augmenting pathway elements to include indicators for pricing, efficacy and/or toxicity of a treatment associated with a given treatment element, and augmenting the pathway with a connection to another pathway including providing a link to another pathway at a point in a given pathway that provides information for a related pathway.

Abstract: A method and system are a for gesture support system for controlling a cloud-based image processing application. In an embodiment, the system includes an extended touch screen device; a DICOM Appliance including a receiver and an uploader client, adapted for segregating PHI-data and non-confidential image data, and for encrypting PHI-data and sending a data package, including the encrypted PHI-data and non-confidential image data to a cloud server. The cloud server is adapted for processing the medical image data. It receives the data package form the uploader client and decrypts the received data package. A gesture reception unit receives user-specific gesture signals and a mapping unit maps the received user-specific gesture signals to standard gestures and provides the standard gestures to the cloud server for generating control instructions for the image processing.

Abstract: A system and method for calculating expected out of pocket health care costs for a user during a set period of time is presented. The system relies on statistical data about health services utilization in combination with data about the user to estimate the expected usage. The system utilizes machine learning techniques to predict utilization of healthcare services based on user health status data. This information in combination with expected costs to deliver the specific services expected to be used provides the basis for calculating costs.