349 results about "Treatment options" patented technology

A comprehensive healthcare analytic and predicative modeling system that tracks costs for patients on a long term basis (greater than 6 months, one-year, or more) to assess the long-term effectiveness of various treatment options. Based upon the evaluation of the long-term effectiveness of various treatment options, the system then delivers a predictive model, which is based on data extracted and aggregated from dissimilar databases, that analyzes up-to-date economic and clinical outcomes, and then, using this data, can estimate long-term future treatment results from an economic and clinical perspective. Also disclosed herein is a personal electronic medical record on a computer network created by a medical provider on the authorization of the patient and controlled by the patient. Lastly, disclosed herein is a computer system for the consolidation of medical and financial data from disparate databases into a unitary data format.

An efficient, objective, flexible and easily deployable system for conducting evaluations of mental and physiological state and recommending individualized treatment to improve said state is described. The method and system are based on commensurate measurement of mental functions, levels of stress and anxiety, and/or biologically active molecules such as neurotransmitters, immune markers including cytokines and hormones. The method and system are designed to assess an individual's cognitive function and the underlying physiology in order to delineate various disease processes, injuries, drug states, training stages, fatigue levels, stress levels, aging processes, predict susceptibility to stress and/or sleep deprivation, identify aptitude for training and/or characterize effects of any experimental conditions. The system and method may be used in recommending individualized treatment protocols, as well as to guide the treatment process by assessing the efficacy of such therapies in the clinical trials process.

The present invention relates to a methodology for the conversion of unstructured, free text data (contained within medical reports) into standardized, structured data, and also relates to a decision support feature for use in diagnosis and treatment options.

A mobility assessment detects abnormalities in motion using a stagger algorithm. The detected abnormalities are compared to known norms for a particular test to determine if the abnormalities are normal or not. The comparison can be made for abnormalities associated with different diseases and illnesses to classify whether or not the condition exists and its phase. The results may be used to generate a treatment regime.

A therapeutic pad system (200) is disclosed for the treatment of edema, wherein the pressure applied to the user by the pad encourages the proximal flow of lymph. A fluid is provided to one or more bladder-type pads (220) in the pad through an inlet port (218) at a distal end of the pad, and is expelled from the bladder through an outlet port (220) at the proximal end of the bladder, thereby producing a pressure gradient across the pad. The system includes a flexible and compressible liner (250) filled with a number of small foam pieces (258) that is adapted to be wrapped about the therapeutic pad, and a relatively rugged, outer binder (270) that is securable about the liner (250). An advantage of the present system is that it may be applied in a number of different modes and combinations providing many treatment options.

An automated method for determining prognosis based on an analysis of abnormality (lesion) features and parenchymal features obtained from medical image data of a patient. The techniques include segmentation of lesions from radiographic images, extraction of lesion features, and a merging of the features (with and without clinical information) to yield as estimate of the prognosis for the specific case. An example is given for the prognosis of breast cancer lesions using mammographic data. A computerized image analysis system for assessing prognosis combines the computerized analysis of medical images of cancerous lesions with the training-based methods of assessing prognosis of a patient, using indicators such as lymph node involvement, presence of metastatic disease, local recurrence, and/or death. It is expected that use of such a system to assess the severity of the disease will aid in improved decision-making regarding treatment options.

A system and method are provided for significantly reducing or substantially eliminating angular geometric distortions in devices designed for imaging and/or inspection of an interior portion or surface of a cavity. A series of processing steps or methods may be employed to eliminate Non-Uniform Rotational Distortion (NURD) in such devices, for example, unidirectional and bi-directional intravascular ultrasonic (IVUS) imaging systems. The system may include a processor and an electronic module which control operation of a transducer assembly provided at a distal end of a catheter assembly. The system invokes a first processing step or method to collect and store raw angle and line data, as well as one or more of second and third processing steps or methods which adjust for NURD experienced during backlash of a bi-directional imaging system and a fourth processing step or method which performs a line-to-line correlation function. The system and method provide more accurate and reliable angular orientations of anomalies identified during imaging and/or inspection of the interior portion or surface of the cavity, thus facilitating diagnosis and treatment options.

Methods for classifying and for evaluating the prognosis of a subject having breast cancer are provided. The methods include prediction of breast cancer subtype using a supervised algorithm trained to stratify subjects on the basis of breast cancer intrinsic subtype. The prediction model is based on the gene expression profile of the intrinsic genes listed in Table 1. This prediction model can be used to accurately predict the intrinsic subtype of a subject diagnosed with or suspected of having breast cancer. Further provided are compositions and methods for predicting outcome or response to therapy of a subject diagnosed with or suspected of having breast cancer. These methods are useful for guiding or determining treatment options for a subject afflicted with breast cancer. Methods of the invention further include means for evaluating gene expression profiles, including microarrays and quantitative polymerase chain reaction assays, as well as kits comprising reagents for practicing the methods of the invention.

A system and method for interactively selecting call treatment in real time for an incoming call in a radio telecommunications network. A modified mobile station includes a display, a browser application that presents call information regarding the incoming call and call-treatment options on a pop-up menu the display, a keypad for a user to select a call-treatment option, and a Client Access Function Teleservice (CATS) handler that packages the selected call-treatment option in an IS-136 R-DATA message and sends the R-DATA message to a modified mobile switching center (MSC). The MSC determines that the R-DATA message is a CATS message from the value of the Higher Layer Protocol Identifier (HLPI) in the R-DATA message, and sends the call-treatment option to a modified service node in a short message service (SMS) message. A server in the service node receives the SMS message from the MSC, extracts the selected call-treatment option, and translates the call-treatment option into service scripts understood by the service node.

A method and apparatus for stimulation of a baroreflex system of a patient is provided. A method comprises establishing a therapy regimen including at least one pulse which includes at least two phases. Each phase has a polarity which is different than that of the other phase. The baroreflex system of the patient is activated with at least one baroreflex activation device which is responsive to the therapy regimen.

A method and system for automated decision support for treatment planning of arterial stenoses is disclosed. A set of stenotic lesions is identified in a patient's coronary arteries from medical image data of the patient. A plurality of treatment options are generated for the set of stenotic lesions, wherein each of the plurality of treatment options corresponds to a stenting configuration in which one or more of the stenotic lesions are stented. For each of the plurality of treatment options, predicted hemodynamic metrics for the set of stenotic lesions resulting from the stenting configuration corresponding to that treatment option are calculated.

A patient treatment method is provided. In one embodiment, the method includes inputting physiological data of a patient into a computer model that is configured to simulate a physiological activity of the patient. The method may also include operating the computer model for each of a plurality of potential treatment options to generate a plurality of personalized modeled results based at least in part on simulated effects of each potential treatment option on the physiological activity. Additionally, the method may include selecting an optimal treatment option from the plurality of potential treatment options based at least in part on the plurality of personalized modeled results, developing a personalized treatment plan comprising the optimal treatment option, and treating the patient based at least in part on the personalized treatment plan. Other methods, systems, and computer-readable media are also disclosed.

A pain measurement and diagnostic system (PMD) for bioanalytical analysis of pain matrix activity and the autonomic nervous system to diagnose and validate patient treatments, health status and outcomes. The PMD is implemented using medical devices for measuring and reporting objective measurements of pain through patient monitoring and analyzing related biological, psychological, social, environmental, and demographic factors that may contribute to and effect physiological outcomes for patients and through the integrated and iterative analysis improve diagnosis of pain, the evaluation of related disease states, health status, and treatment options.

The present invention provides methods and systems for conditioning cerebrospinal fluid (CSF). The methods provide for efficiently removing target compounds from CSF. The systems provide for a multilumen flow path and exchange of a majority volume portion of CSF in the CSF space. The removal and/or delivery of specific compounds can be tailored to the pathology of the specific disease. The removal is targeted and specific, for example, through the use of specific size-exclusion thresholds, antibodies against specific toxins, and other chromatographic techniques, as well as delivery and/or removal of targeted therapeutic agents. The invention finds use as a diagnostic, therapeutic and drug delivery platform for a variety of diseases affecting the CNS by accessing the CSF space. Exemplified disease conditions treatable by the present CSF processing systems and methods include, but are not limited to: Cerebral Vasospasm, Guillain Bane Syndrome, illustrating multi-lumen lumbar approach Alzheimer's, Parkinson's, Huntington's, Multiple Sclerosis, Amyotrophic Lateral Sclerosis, Spinal Cord Injury, Traumatic Brain Injury, Stroke, Cancer affecting the brain or spinal cord, Prion disease, Encephalitis from various causes, Meningitis from various causes, diseases secondary to enzymatic or metabolic imbalances, Biological Warfare, etc. For the first time, the present invention offers patients a disease-modifying, disruptive technology treatment platform that addresses the known disease pathogenesis of a number of neurologic conditions to which there are presently limited and ineffective treatment options.

Service subscriber inbound call control is effected from within a public switched telephone network (PSTN) using a Call Service Node (CSN). On receipt of a call directed to the service subscriber, at least one messaging network message is sent to the service subscriber to request a call treatment option. Pending receipt of a reply from the subscriber, the call is routed by the CSN to a call parking facility in the PSTN. The call parking facility may be a voice mail box of the subscriber or an announcement facility. After a call treatment option is received, the call is released from the call parking facility the call treatment is effected. The service enables single number service for multiple service subscriber directory numbers, unified voice mail for multiple service subscriber telephone numbers, or segregated voice mail boxes for a single service subscriber number, as well as real-time, interactive inbound call screening.

A simplified insulin pump allows type II diabetics to identify routine patterns in their daily lifestyle that provide a generally accurate typical pattern of activity and meals. An infusion regimen can be programmed into the pump that generally correlates with this typical pattern to provide a viable treatment option for a type II diabetic without the need for specific and precise matching of insulin to carbohydrate consumption or activity level.

An apparatus, system, and method are disclosed for determining a patient's condition. A system for determining a patient's condition, in one embodiment, comprises a computer processor device, an interface between the computer processor and one or more patient monitoring devices, and a software program configured to interpret patient input data, diagnose the patient's condition, and recommend treatment options. A method for determining a patient's condition may comprise receiving patient data from one or more patient monitoring devices, consulting a treatment database, determining a diagnosis, and converting a diagnosis into a treatment.

Method, system, and computer program product for visualization of patient treatments are provided. The method includes: selecting a patient; retrieving data records of patients with similar conditions requiring treatment to the selected patient; and building a tree structure for display with nodes of treatment options and a temporal axis showing treatment results of the similar patients. The tree structure includes representing side effects of a treatment option at a node including a visualization of the strength of the side effect. The tree structure also includes providing edges between the nodes representing a length to progression of the condition requiring treatment.

A system enables a healthcare organization to evaluate cost efficient treatment options early in a patient treatment process by automatic monitoring of profit or loss of a treatment, in real-time and enables a clinical user to screen, simulate and control treatment profit or loss during a patient visit, based on both expected reimbursement and the actual costs of performed services. A system enables cost based treatment selection by providing a healthcare worker with patient specific treatment cost information during a treatment episode. An acquisition processor automatically interrogates at least one information repository for data concerning cost to a healthcare organization of providing a proposed treatment to a patient and expected cost reimbursement to the healthcare organization for the proposed treatment. The acquisition processor initiates generation of at least one message including a patient identifier and treatment identification code for communication to the at least one information repository, in response to data indicating occurrence of a treatment related event. A display processor initiates generation of data representing at least one display image including information indicating the proposed treatment is unprofitable for the healthcare organization.

Systems and methods are disclosed for evaluating cardiovascular treatment options for a patient. One method includes creating a three-dimensional model representing a portion of the patient's heart based on patient-specific data regarding a geometry of the patient's heart or vasculature; and for a plurality of treatment options for the patient's heart or vasculature, modifying at least one of the three-dimensional model and a reduced order model based on the three-dimensional model. The method also includes determining, for each of the plurality of treatment options, a value of a blood flow characteristic, by solving at least one of the modified three-dimensional model and the modified reduced order model; and identifying one of the plurality of treatment options that solves a function of at least one of: the determined blood flow characteristics of the patient's heart or vasculature, and one or more costs of each of the plurality of treatment options.

The use of music in connection with cancer therapy and other conditions is described. A computer-implemented method of modulating a mood in a person includes selecting an appropriate target mood, filtering a play list of music tracks based on an initial mood and vectoring by further filtering the play list to allocate the music tracks to play in order of appropriate stages creating a progressive modulation of mood from the initial mood to the target mood. A method of treating a patient with debilitating condition by administering to the patient a computer-implemented methodology is also provided.