1187 results about "Patient treatment" patented technology

A method and apparatus of automatically locating in an image of a blood vessel the lumen boundary at a position in the vessel and from that measuring the diameter of the vessel. From the diameter of the vessel and estimated blood flow rate, a number of clinically significant physiological parameters are then determined and various user displays of interest generated. One use of these images and parameters is to aid the clinician in the placement of a stent. The system, in one embodiment, uses these measurements to allow the clinician to simulate the placement of a stent and to determine the effect of the placement. In addition, from these patient parameters various patient treatments are then performed.

The information management system disclosed enables caregivers to make better decisions, faster, using aggregated genetic and phenotypic data. The system enables the integration, validation and analysis of genetic, phenotypic and clinical data from multiple subjects who may be at distributed facilities. A standardized data model stores a range of patient data in standardized data classes that encompass patient profile information, patient symptomatic information, patient treatment information, and patient diagnostic information including genetic information. Data from other systems is converted into the format of the standardized data classes using a data parser, or cartridge, specifically tailored to the source system. Relationships exist between standardized data classes that are based on expert rules and statistical models. The relationships are used both to validate new data, and to predict phenotypic outcomes based on available data. The prediction may relate to a clinical outcome in response to a proposed intervention by a caregiver. The statistical models may be inhaled into the system from electronic publications that define statistical models and methods for training those models, according to a standardized template. Methods are described for selecting, creating and training the statistical models to operate on genetic, phenotypic and clinical data, in particular for underdetermined data sets that are typical of genetic information. The disclosure also describes how security of the data is maintained by means of a robust security architecture, and robust user authentication such as biometric authentication, combined with application-level and data-level access privileges.

A system for monitoring medical conditions including pressure ulcers, pressure-induced ischemia and related medical conditions comprises at least one sensor adapted to detect one or more patient characteristic including at least position, orientation, temperature, acceleration, moisture, resistance, stress, heart rate, respiration rate, and blood oxygenation, a host for processing the data received from the sensors together with historical patient data to develop an assessment of patient condition and suggested course of treatment. In some embodiments, the system can further include a support surface having one or more sensors incorporated therein either in addition to sensors affixed to the patient or as an alternative thereof. The support surface is, in some embodiments, capable of responding to commands from the host for assisting in implementing a course of action for patient treatment. The sensor can include bi-axial or tri-axial accelerometers, as well as resistive, inductive, capactive, magnetic and other sensing devices, depending on whether the sensor is located on the patient or the support surface, and for what purpose.

A medical digital expert system to predict a patient's response to a variety of treatments (using pre-treatment information) is described. The system utilizes data fusion, advanced signal/information processing and machine learning/inference methodologies and technologies to integrate and explore diverse sets of attributes, parameters and information that are available to select the optimal treatment choice for an individual or for a subset of individuals suffering from any illness or disease including psychiatric, mental or neurological disorders and illnesses. The methodology and system can also be used to determine or confirm medical diagnosis, estimate the level, index, severity or critical medical parameters of the illness or condition, or provide a list of likely diagnoses for an individual suffering/experiencing any illness, disorder or condition.

A system and method of obtaining serial biochemical, anatomical or physiological in vivo measurements of disease from one or more medical images of a patient before, during and after treatment, and measuring extent and severity of the disease is provided. First anatomical and functional image data sets are acquired, and form a first co-registered composite image data set. At least a volume of interest (ROI) within the first co-registered composite image data set is identified. The first co-registered composite image data set including the ROI is qualitatively and quantitatively analyzed to determine extent and severity of the disease. Second anatomical and functional image data sets are acquired, and form a second co-registered composite image data set. A global, rigid registration is performed on the first and second anatomical image data sets, such that the first and second functional image data sets are also globally registered. At least a ROI within the globally registered image data set using the identified ROI within the first co-registered composite image data set is identified. A local, non-rigid registration is performed on the ROI within the first co-registered composite image data set and the ROI within the globally registered image data set, thereby producing a first co-registered serial image data set. The first co-registered serial image data set including the ROIs is qualitatively and quantitatively analyzed to determine severity of the disease and/or response to treatment of the patient.

A processing device and display system supporting a plurality of different modules providing different functions used in delivering healthcare to a patient, includes a patient monitoring module, including a processor, for acquiring and processing signals derived from sensors suitable for attachment to a patient. A patient treatment module, including a processor, supports delivering treatment to the patient using a treatment delivery device. A central processor exchanges data with module processors and processes signals derived from said patient treatment module to support monitoring of patient condition while concurrently monitoring operation of said treatment delivery device in delivering said treatment to said patient.

An integrated radiopharmaceutical patient treatment system is disclosed including a patient support platform with an associated patient stimulus apparatus, an imager proximate the patient support platform, a radiopharmaceutical fluid delivery system for infusing a radiopharmaceutical fluid into a patient, a patient monitor to be associated with a patient, and an integrated system controller operably associated with the patient stimulus apparatus, imager, radiopharmaceutical fluid delivery system, and patient monitor to control and coordinate their operations. Within the patient treatment system the radiopharmaceutical fluid delivery system may be included comprising a radionuclide supply module, a radiopharmaceutical processing module, a quality control module, a patient injection module, and a controller. A hazardous fluid handling system including a docking station and a hazardous fluid transport device adapted to detachably dock with the docking station is further disclosed.

A system and method for monitored administration of medical products to patients. In one implementation, the system includes: an RFID tag article disposable on or in proximity to a patient, including a first RFID tag containing first information relevant to administration of medical product to the patient; a medical product labeled with a second RFID tag containing second information relevant to administration of the medical product to the patient; a reader arranged to receive signals from at least one of the first and second RFIDs; and a controller operatively coupleable in communication with the reader to process information received by the reader and to responsively generate an output relating to treatment of the patient.

A device and method to detect and manage heart failure patient symptoms is provided. Respiration and/or cardiac parameters may be sensed or observed to determine the status of a patient's condition. These symptoms may be classified for appropriate patient disease management. A patient's activity level may be monitored in conjunction with respiration and/or cardiac parameters to provide additional patient status information. These symptoms may be classified for appropriate patient disease management. Pulmonary edema is one condition that may be determined to exist when a respiration parameter is out of range for a given sensed activity level. If edema is determined to be present, the device may be configured to respond to treat the edema.

A system and a method for automating a medical process including a memory storing a software program, a computer connected to the memory for running the software program, a display connected to the computer for generating a visual representation of output data generated by the computer running the program, a user interface connected to the computer for obtaining image data representing a configuration of a patient treatment space and fixed markers in the treatment space and storing the image data in the memory, a robot arm connected to the computer, and a medical tool mounted on the robot arm wherein when a human inputs a selected treatment procedure into the computer, the computer runs the software program to generate a tool path based upon the treatment procedure and the image data, and the computer operates the robot arm to move the medical tool along the tool path without human guidance, and wherein the data generated during the treatment procedure is stored, analyzed, and shared among collaborating computer systems.

A system manages load-balancing of assignment of tasks to healthcare workers. The system assigns patient treatment related tasks to healthcare workers using an interface processor for receiving information identifying treatment services required to be delivered to a patient. A worker assignment processor, in response to the information identifying the treatment services, automatically identifies at least one healthcare worker to provide the services to the patient based on data indicating, worker credentials, worker privilege status, and worker availability. A communication processor initiates generation of an alert message to an identified worker notifying the identified worker of an assignment.

A method of treating a patient suffering from a disease, disorder or condition includes the administration to the patient of a therapeutically effective amount of botulinum toxin of a selected serotype until the patient experiences loss of clinical response to the administered botulinum toxin and thereafter administering to the patient a therapeutically effective amount of another botulinum toxin of a different serotype.

A task management system uses patient tags (e.g., wireless RFID, Infrared tracking, GPS etc.) for patient location tracking, together with an integrated workflow system to automatically, track patient location how long they have been there and how many patients are at the same location (e.g., waiting room) and manages waiting time and an overall waiting queue, supporting automated adjustment of healthcare staffing, patient flows, and team coordination. A task management system for use in providing healthcare to a patient includes a patient tracking processor and a workflow processor. The patient tracking processor automatically acquires data derived by wireless communication from patient attached tag devices for use in identifying a location of multiple patients in a healthcare enterprise and identifying a first number of patients at a particular location and a second number of patients awaiting receiving a particular type of treatment. The workflow processor automatically initiates a patient load balancing activity to improve a match between a healthcare resource and a patient load by communicating a message to update a healthcare worker task schedule with a task in response to a determination the identified first or second number of patients exceeds a predetermined threshold number.

The present invention includes an integrated system and methods for patient treatment, the system includes a hospital bed; a plurality of patient diagnostic and treatment devices connected to a network, wherein each of the devices can communicate to a network and exchange information with the network about the care of a patient; and a processor accessible adjacent to the bed and connected to the network to integrate information obtained from the devices through the network with one or more additional sources of information databases, wherein the processor can communicate to one or more patient treatment devices either directly or via the network and the processor directs the one or more patient treatment devices to change the treatment of the patient.

A modular medical care system, housing a plurality of different modules providing different functions used in delivering healthcare to a patient, includes a plurality of different modules including: (a) a patient monitoring module for acquiring and processing signals derived from sensors suitable for attachment to a patient; and (b) a patient treatment module for delivering treatment to the patient. A processor processes signals derived from the plurality of different modules. A communication interface provides bidirectional communication between the processor and the plurality of different modules via a network.

A system and a method for managing patient treatment stores in the database a patient history for each patient including data related to observations, test results, diagnoses, treatment regimen(s) and a treatment plan associated with the patient. The treatment plan is administered to the patient and medical device operating data related to the tasks of the associated treatment regimen is stored in the database. A reminder is issued if a task associated with the treatment regimen is not completed on time and the effectiveness of the treatment regimen is evaluated based upon the data stored in the database so that only effective treatment regimens are retained in the system. The system performs treatment planning, treatment monitoring, hospital monitoring, healthcare insurance billing, patient billing, research and analysis support, supply chain management and personnel scheduling.

Patients inflicted with various clustering chronic diseases require treatment with multiple drugs having distinct mechanisms of action. Accordingly, patients with multiple conditions suffer from cumulative side effects of multiple drugs as well as drug-drug interactions. Embodiments, agents, compounds or drugs of the present invention, such as sesquiterpenes, e.g., Zerumbone, replace an equal or larger number of approved drugs during patient treatment. Examples of disorders prevented or ameliorated by administration of the formulations of this invention include but are not limited to inflammatory diseases that may be, oncological, genetic, ischemic, infectious, neurological, hematological, ophthalmological, rheumatoid, orthopedic, neurological, hematological, kidney, vascular, dermatological, gynecological, or obstetric. The present invention further relates to a method of identifying agents, compounds or drugs useful in preventing or treating CDCP related diseases and conditions as well as other disorders, diseases and conditions treatable or preventable by the same agents, compounds or drugs.

Disclosed are methods of identifying subjects with Diabetes or a pre-diabetic condition, methods of identifying subjects at risk for developing Diabetes or a pre-diabetic condition, methods of differentially diagnosing diseases associated with Diabetes or a pre-diabetic condition from other diseases or within sub-classifications of Diabetes, methods of evaluating the risk of progression to Diabetes or a pre-diabetic condition in patients, methods of evaluating the effectiveness of treatments in subjects with Diabetes or a pre-diabetic condition, and methods of selecting therapies for treating Diabetes or a pre-diabetic condition, using biomarkers.

The invention relates to a double-stranded compound, preferably an oligoribonucleotide, which down-regulates the expression of a human p53 gene. The invention also relates to a pharmaceutical composition comprising the compound, or a vector capable of expressing the oligoribonucleotide compound, and a pharmaceutically acceptable carrier. The present invention also contemplates a method of treating a patient suffering from acute renal failure or other kidney diseases comprising administering to the patient the pharmaceutical composition in a therapeutically effective dose so as to thereby treat the patient.