480 results about "Clinical information" patented technology

The invention features devices and methods for the deterministic separation of particles. Exemplary methods include the enrichment of a sample in a desired particle or the alteration of a desired particle in the device. The devices and methods are advantageously employed to enrich for rare cells, e.g., fetal cells, present in a sample, e.g., maternal blood and rare cell components, e.g., fetal cell nuclei. The invention further provides a method for preferentially lysing cells of interest in a sample, e.g., to extract clinical information from a cellular component, e.g., a nucleus, of the cells of interest. In general, the method employs differential lysis between the cells of interest and other cells (e.g., other nucleated cells) in the sample.

A method and apparatus are disclosed for a high-throughput, large-scale molecular profiling of tissue specimens by retrieving a donor tissue specimen from an array of donor specimens, placing a sample of the donor specimen in an assigned location in a recipient array, providing substantial copies of the array, performing a different biological analysis of each copy, and storing the results of the analysis. The results may be compared to determine if there are correlations or discrepancies between the results of different biological analyses at each assigned location, and also compared to clinical information about the human patient from which the tissue was obtained. The results of similar analyses on corresponding sections of the array can be used as quality control devices, for example by subjecting the arrays to a single simultaneous investigative procedure. Uniform interpretation of the arrays can be obtained, and compared to interpretations of different observers.

A software-based, integrated member decision support system provides a method for corporations, insurance carriers, health maintenance organizations, physicians, physician groups, or other clients to efficiently provide medical, pharmaceutical, and health benefit advice and information for an enrolled population. The system contains one or more databases which include member profiles, clinical information and guidelines, pharmaceutical information and guidelines, health benefit information, and optional additional information. A caller establishes communication with the system, which directs the caller to an operator who provides the caller with medical, pharmaceutical, and/or health benefit advice based on an inquiry from the caller and the information stored on the system. The system may automatically alert the caller or the operator of important medical or pharmaceutical information. At the conclusion of the call, the system or the system with the operator's input, may update the caller's member profile, request written materials, generate referrals, order prescriptions, or generate reports.

A system, for interpreting information for a physician user or non-physician user, is described. The system includes a processing module configured to convert numerical data to at least one of a natural-language text and a machine vocalization. The at least one of the natural-language text and the machine vocalization describes a characteristic of the numerical data. The characteristic of the numerical data comprises at least one of a trend, a first derivative, a second derivative, a high value, a low value, and a time period, a pattern of repetition, an extrapolation, an interpolation, and a frequency. The physician user may enter data or receive data by voice alone through the backend database. The physician user may also order tests, labs or check on the same by voice alone.

Business methods and systems that are provided use knowledge-based expert systems for mining (extracting) highly structured clinical information from various structured and unstructured sources of healthcare provider data. In one business method for on-line healthcare management and decision support, a service provider maintaining a collection of structured clinical data, the structured clinical data comprising information automatically mined from various structured and unstructured sources of healthcare provider data from one or more different healthcare providers. The service provider provides a customer on-line access to structured clinical data in the collection, or providing an on-line service to the customer using structured clinical data in the collection, based on a service agreement between the customer and the service provider.

Clinical information, molecular information and/or computer-generated morphometric information is used in a predictive model for predicting the occurrence of a medical condition. In an embodiment, a model predicts whether a patient is likely to have a favorable pathological stage of prostate cancer, where the model is based on features including one or more (e.g., all) of preoperative PSA, Gleason Score, a measurement of expression of androgen receptor (AR) in epithelial and stromal nuclei and/or a measurement of expression of Ki67-positive epithelial nuclei, a morphometric measurement of a ratio of area of epithelial nuclei outside gland units to area of epithelial nuclei within gland units, and a morphometric measurement of area of epithelial nuclei distributed away from gland units. In some embodiments, quantitative measurements of protein expression in cell lines are utilized to objectively assess assay (e.g., multiplex immunofluorescence (IF)) performance and/or to normalize features for use within a predictive model.

A patient information interface system presents an aggregated, graphical view of patient anatomy and history. The system includes a graphical representation of at least a portion of a human anatomy including one or more indicators, aggregated from a plurality of clinical information sources and located at anatomical locations on the representation, that correspond to clinical events that have occurred in connection with a patient. The system also includes an electronic health record timeline of clinical events for the patient. The timeline includes the same one or more indicators that are displayed on the graphical representation corresponding to clinical events that have occurred in connection with a patient. A selection or change of an indicator on one of the graphical representation or the electronic health record timeline triggers a corresponding selection or change of the indicator on the other of the graphical representation or the electronic health record timeline.

A method provides a display area of a computer system for displaying a set of data. The data includes clinical data for one or more medical patients. The method provides multiple controls for performing multiple functions. The method provides an audio interface for controlling at least one of the controls through audio commands.

A progress note in a patient's medical record can be created in a database format which is unalterable. New versions of the notes which reflect revised viewpoints of the user may be created without deleting original notes. The database which stores these progress notes can check accuracy in diagnosis and orders by the user.

The apparatus and methods disclosed herein implement a convenient and efficient standards based healthcare management system. The various preferred embodiments of the present invention enable the healthcare industry to deliver efficient, low cost and higher quality services through value added RFID technology and information processing solutions. The most preferred embodiments of the present invention enable the tracking of medical assets, processing of portable electronic patient health information, and provides a robust web-enabled interface for monitoring and managing interoperable healthcare information. The three main components of the present invention are the Asset Management component, the Personal Health Manager component, and the Clinical Information Management component. These components, taken together, offer a standards-based modular, platform for delivering efficient and effective healthcare management solutions.

A multi-level information display system graphically represents clinical information for a user. The system includes a user interface providing clinical content to a user and accepting user input with respect to clinical content. The system also includes a graphical summary representation of a patient-related clinical data value. The graphical summary representation has one or more visible characteristics indicating an importance of the patient-related clinical data value. The system also includes a thumbnail trend view providing a graph of data elements used to provide the patient-related clinical data value shown in the graphical summary representation. The system further includes an originating data view retrieving and displaying, via the user interface, a source document corresponding to at least one data element on the graph shown in the thumbnail trend view. The various views are displayed via the user interface based on user manipulation of a cursor with respect to the displayed views.

A medical evaluation system for a procedural event comprises: determining key medical images (10) and medical reports; determining a clinician's preferences (85) for medical records obtained from a physician; determining the clinician's preferences for clinical information system records; determining the clinician's preferences for display of the medical images, medical reports, medical records, and clinical information system records; and displaying the medical images, medical reports, medical records, and clinical information system records.

The present specification discloses systems and methods for patient monitoring using a multitude of display regions, at least two of which have the capability to simultaneously display real time patient waveforms and vital statistics as well as provide display for local and remote software applications. In one example, a primary display shows real time patient waveforms and vital statistics while a customizable secondary display shows trends, cumulative data, laboratory and radiology reports, protocols, and similar clinical information. Additionally, the secondary display can launch local and remote applications such as entertainment software, Internet and email programs, patient education software, and video conferencing applications. The dual display allows caregivers to simultaneously view real time patient vitals and aggregated data or therapy protocols, thereby increasing hospital personnel efficiency and improving treatment, while not compromising the display of critical alarms or other data.

Certain embodiments of the present invention provide methods and systems for hanging protocol generation using gesture recognition. Certain embodiments provide a method for creating a hanging protocol based on gesture input in a clinical environment. The method includes specifying a hanging protocol specification using gesture-based input. The method also includes translating the gesture-based input into a hanging protocol. The method further includes facilitating display of clinical information based on the hanging protocol. Certain embodiments provide a gesture detection system. The system includes a sensor surface configured to detect gesture-based input made on the sensor surface. The gesture-based input specifies a hanging protocol layout. The system also includes a processor configured to identify the gesture-based input and translate the gesture to a corresponding hanging protocol definition for display of image and clinical data.

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.

The present invention is a guide wire imaging device for vascular or non-vascular imaging utilizing optic acoustical methods, which device has a profile of less than 1 mm in diameter. The ultrasound imaging device of the invention comprises a single mode optical fiber with at least one Bragg grating, and a piezoelectric or piezo-ceramic jacket, which device may achieve omnidirectional (360°) imaging. The imaging guide wire of the invention can function as a guide wire for vascular interventions, can enable real time imaging during balloon inflation, and stent deployment, thus will provide clinical information that is not available when catheter-based imaging systems are used. The device of the invention may enable shortened total procedure times, including the fluoroscopy time, will also reduce radiation exposure to the patient and to the operator.

Systems and methods are provided to schedule clinical tasks involving multiple sub-tasks and multiple resources in a clinical enterprise. An example method includes identifying a slot for a task defined by a task duration and one or more resources, the task including a plurality of sub-tasks, each sub-task having a sub-task duration utilizing one or more of the one or more resources, wherein each sub-task to be performed consecutively based on resource constraints; selecting a time slot for the task based on resource availability, the plurality of sub-tasks in the task, and a duration associated with each sub-task, wherein resource availability information is obtained from a clinical information system, and wherein each resource is scheduled only for one or more sub-tasks in which the resource is involved; displaying the schedule including the task and the plurality of sub-tasks; and facilitating access to view and modify the schedule.

Methods and systems are provided that use clinical information, molecular information and computer-generated morphometric information in a predictive model for predicting the occurrence (e.g., recurrence) of a medical condition, for example, cancer. In an embodiment, a model that predicts prostate cancer recurrence is provided, where the model is based on features including one or more (e.g., all) of biopsy Gleason score, seminal vesicle invasion, extracapsular extension, preoperative PSA, dominant prostatectomy Gleason grade, the relative area of AR+ epithelial nuclei, a morphometric measurement of epithelial nuclei, and a morphometric measurement of epithelial cytoplasm. In another embodiment, a model that predicts clinical failure post-prostatectomy is provided, wherein the model is based on features including one or more (e.g., all) of dominant prostatectomy Gleason grade, lymph node invasion status, one or more morphometric measurements of lumen, a morphometric measurement of cytoplasm, and average intensity of AR in AR+/AMACR− epithelial nuclei.

There is provided a system performing high-accuracy diagnostic decision support in consideration of the influence of a haplotype block and a genetic structure.

Haplotype block inference means 13 infers the positions of haplotype blocks, and analyzes each of the haplotype blocks to infer a haplotype pattern of individuals with high accuracy. Genetic structure inference means 15 performs clustering the individuals on the basis of the haplotype pattern to divide a population into some subpopulations, and removes the influence of a genetic structure existing in the population. A genetic structure information database 16 and a clinical information database 11 are used to analyze association of clinical information with genetic information for providing high-accuracy diagnostic decision support knowledge. On the basis of the diagnostic decision support knowledge obtained by analyzing the association of clinical information with genetic information, risk calculation means 19 calculates a risk that a predetermined individual is affected by disease.