Abstract: A method includes accessing from a predictive data mart at a cloud platform which contains historical data on prior authorization transactions, historical transaction data corresponding to information indicated to be necessary for authorization decisions by a payer for use of a proposed medication for treatment of a condition. The method further includes determining, based on the accessed historical transaction data, a most probable question set necessary for an authorization decision by the payer for use of the proposed medication for treatment of the condition.

Abstract: A care system includes a mobile communication device, a remote server, and a patient support system in communication with either or both of the mobile communication device and the remote server. The mobile communication device operates as a user interface for the patient support system. The remote server provides computing power for the patient support system for resource intensive computing tasks. A system for use in a healthcare facility includes patient care devices located in a patient room. The system also includes an application server located remotely from the patient room. The application server stores application software associated with each patient care device. The system further includes a universal caregiver interface situated in the patient room and in communication with the application server. The universal caregiver interface receives application software from the application server.

Abstract: A digital item tracking system drives e-commerce with an order state that is determined based on processing events, shipping events and payment events. When a transaction occurs in a peer-to-peer marketplace the order state is updated as events occur through the point that an order is accepted by a buyer. The order can also cause an exception in which reverse digital item tracking is needed.

Abstract: A system, apparatus, and related methods for the collection, processing, evaluation, transformation, and reporting of individual health care information from diverse information systems and sources. A individual health record (IHR) of the present invention provides a structure for individuals to participate in, and manage, their health and their medical care, while still meeting the needs of health care organizations and caregivers. An IHR object may be formed by obtaining information from diverse health care information systems and sources, and transforming and re-purposing into a coherent account of the individual's overall health and care using a comprehensive health care ontology. As information from various sources is updated or available, the IHR is dynamically updated on a continuous or periodic basis.

Abstract: The inventive subject matter provides apparatus, systems, and methods that improve on the pace of discovering new practical information based on large amounts of datasets collected. In most cases, anomalies from the datasets are automatically identified, flagged, and validated by a cross-validation engine. Only validated anomalies are then associated with a subject matter expert who is qualified to take action on the anomaly. In other words, the inventive subject matter bridges the gap between the overwhelming amount of scientific data which can now be harvested and the comparatively limited amount analytical resources available to extract practical information from the data. Practical information can be in the form of trends, patterns, maps, hypotheses, or predictions, for example, and such practical information has implications in medicine, in environmental sciences, entertainment, travel, shopping, social interactions, or other areas.

Abstract: A treatment schedule for radiopharmaceuticals is developed by collecting a volumetric history of tissue uptake in identified volumes of interest using emitted-radiation scans and relating this data to a treatment-radiopharmaceutical to develop a quantitatively accurate radiation treatment schedule of delivery amounts and delivery times of the treatment-radiopharmaceutical. This data may also be used to model biological effective dose and to prepare augmenting external radiation beam treatment schedules.

Abstract: A method of retrieving similar patient cases from a medical database includes matching a current patient case against a plurality of clinical profiles resulting in a set of matching clinical profiles. The method further includes determining a degree of membership of the current patient case in each clinical profile from the set of matching clinical profiles based upon a degree of match between the current patient case and the clinical profile. For at least one clinical profile from the set of matching clinical profiles, the method includes retrieving those similar patient cases from the medical database that have a substantially corresponding degree of membership as the current patient case.

Abstract: A computer network implemented system for improving the operation of one or more biofeedback computer systems is provided.

Abstract: The invention relates to a method and apparatus for optimizing an extracorporeal blood treatment using an extracorporeal blood treatment apparatus, an extracorporeal blood treatment apparatus with a device for optimizing the extracorporeal blood treatment, and a computer program to be executed on a processor for carrying out a method for optimizing the extracorporeal blood treatment. The method and apparatus are characterized in that at least one machine-specific treatment parameter for carrying out the treatment using the respective dialyzer or filter is determined with a computing unit for different types of dialyzers or filters. The computing unit determines the costs resulting from the determined machine-specific treatment parameters when using the respective dialyzer or filter. The determined costs for different types of dialyzers or filters are then displayed on a display unit. The doctor can then select the dialyzer or filter to keep the costs as low as possible.

Abstract: A dose prediction model can be determined for generating a dose distribution of a treatment plan for irradiating a target structure within a patient. Treatment plans from previous patients can be analyzed to determine D characteristic values to obtain a D dimensional point for each treatment plan. The treatment plans can be clustered based on the D dimensional points. The treatment plans of a cluster can then be used to determine a dose prediction model. A dose prediction model for patient can be selected from among multiple models. Characteristics about the patient can be used to determine a D dimensional point corresponding to the patient. The D-dimensional point can be used to select a model in comparison to D dimensional points of the models.

Abstract: An implant planning system aids delivery of radiation to tumor sites of a patient. The system allows a user to test various combinations of virtual implants, each associated with a corresponding physical implant (e.g., a carrier with an embedded radioactive seed), and to view the dosage area of the virtual implants so that adjustments to the virtual implants may be made until a prescribed dose of radiation to a treatment area is achieved. A treatment plan developed based on the virtual implants may then be used in surgical implantation of the corresponding physical implants. For example, the implant configuration of the treatment plan may be projected onto a treatment surface of a patient, such as in a surgical room, so that physical implants may be placed according to the projected image of the virtual implants.

Abstract: A method for precision collaborative targeting includes determining information indicative of a current location and of a known remote location. A first distance is determined from the current location to the known remote location. A sensor is slewed towards an unknown remote location, the sensor being initially directed from the current location to the known remote location. The distance from the current location to the unknown remote location is measured. Information indicative of the location of the unknown remote location is determined from the amount of slewing and the distance from the current location to the unknown remote location.

Abstract: A system and method for providing automatic setup of a remote patient care environment. Connectivity to a centralized server over a network connection is confirmed. Data reporting for a patient by one or more monitoring devices that are wirelessly connectable is induced through control provided through a user interface. Each of the devices is registered as the device attempts to establish a wireless connection and report the data conditioned on permission for access. Upon granting of the permission for access, the device is wirelessly connected and the data is subsequently received over the wireless connection.

Abstract: A method of operation of a navigation system having route customization mechanism includes: generating a base route; selecting a custom route priority based on a route preference; generating a modified route based on the base route and the custom route priority; and sending the modified route for displaying on a device.

Abstract: A radiological image processing apparatus of this invention includes a separating device, an adjusting device and a removing device. Since a corrected image is generated using the radiological image taken through an object under examination, each image can be acquired by one radiographic operation without acquiring data for grid correction beforehand. The radiological image taken through the object is separated into a grid image and a non-grid image, and a corrected image is generated by adjusting intensity of the grid image on real space based on the non-grid image. Thus a high-precision correcting process is realized by one radiographic operation.

Abstract: A method for generating a volume-viewing image on the basis of three-dimensional image data of the interior of a body generated by way of a medical imaging system is described. In at least one embodiment, a plurality of different functional structures of the body are first of all segmented in the three-dimensional image data. Moreover, structure selection data for fixing functional structures to be visualized is determined. Then, at least one volume-viewing image is generated from the three-dimensional image data on the basis of the segmented functional structures and the structure selection data and the image is output. Moreover, in at least one embodiment, an image-processing system to carry out at least one embodiment of the method is described.

Abstract: The present invention relates to a system and method for dental implant and restorative services. By locating the key functions at one physical location, dental implant services are efficiently provided to patients. These functions include a treatment coordinator, a direct marketer, a restorative doctor/prosthodontist, a surgeon, an imaging area, and a dental laboratory, Further, services for dentate patients are improved by utilizing advanced dental implant methods and systems. These methods and systems include both model-based services and CT (computed tomography) guided surgery services. Using these services, improved surgical guides for dental implants are constructed.

Abstract: Systems and methods for tomographic reconstruction of an image include systems and methods for producing images from k-space data. A k-space data set of an imaged object is acquired using know k-space data acquisition systems and methods. A portion of the k-space data set is sampled so as to collect some portion of the k-space data. An image is then reconstructed from the collected portion of the k-space data set according to a convex optimization model.

Abstract: When quantifying neo-vasculature growth measured using a CT scanner (10), a known blood voxel is identified and adjoining voxels are compared thereto by a quantifier (52) to determine whether they are blood voxels, in order to grow a 3D image of the blood vessels. A removable Hounsfield calibration phantom (56) is positioned in a subject support (12) and concurrently scanned with the subject during each scan, and a Hounsfield unit calibrator (54) automatically calibrates acquired CT data to the phantom. A transport system comprising a plurality of movement-arresting locations facilitates cheaply and repeatably locking a CT detector (20), in six degrees of movement, at a plurality of locations in the scanner gantry.

Abstract: The CT image processor determines the position of the liver in the body of a subject based on CT image. The PET image processor determines the position of the liver in the body of a subject based on PET image. The CT image processor calculates the displacement in the positions of the liver determined by the CT and PET images. The CT image processor extracts the contour of the liver from a CT image. The CT image processor generates a correction CT image by modifying a CT image by moving a CT image to decrease the displacement of the extracted contour in the internal area. The PET image processor performs decrease correction based on the modified CT image.