1711results about "Medical practises/guidelines" patented technology

Disclosed herein are systems and methods for syndication and management of structured and unstructured data to assist institutional healthcare delivery, healthcare providers' practices, healthcare providers' group practices, collaborative academic research and decision making in healthcare, including through the utilization of medical devices and healthcare pools.

A computer-implemented method of planning orthopaedic surgery comprises providing a library of templates representing orthopaedic prostheses, displaying and scaling one or more patient images such as X-ray images, allowing a user to reconfigure geometrical constructs displayed over the images to match the construct to anatomical features shown in the image; and selecting one or more templates from the library in accordance with parameters of the reconfigured constructs. The templates correspond to the orthopaedic prosthesis or prostheses which are most suitable for the patient. Hip replacement surgery can be planned using a single patient image. Knee surgery can be planned using two patient images showing different views of the anatomical features, in which case geometrical constructs for use with each view are provided. The library of templates is accessible via the Internet so as to be accessible by users in any location and readily updateable.

A system and method for providing computerized, knowledge-based medical diagnostic and treatment advice. The medical advice is provided to the general public over networks, such as a telephone network or a computer network. The invention also includes a stand-alone embodiment that may utilize occasional connectivity to a central computer by use of a network, such as the Internet. New authoring languages, interactive voice response and speech recognition are used to enable expert and general practitioner knowledge to be encoded for access by the public. “Meta” functions for time-density analysis of a number of factors regarding the number of medical complaints per unit of time are an integral part of the system. A re-enter feature monitors the user's changing condition over time. A symptom severity analysis helps to respond to the changing conditions. System sensitivity factors may be changed at a global level or other levels to adjust the system advice as necessary.

A system and method for observing patients in geographically dispersed health care locations. A patient is assigned to a health care location comprising a patient visual monitoring system, a patient audio receiver, and a patient controller. The visual monitoring system is responsive tri-axially to command signals received via a patient controller connected to the network. The patient controller sends patient imaging data and patient audio data to a remote command center via the network. A computerized patient care management system comprising the remote command center monitors patient data, patient imaging data, and patient audio data determines from the patient data, the patient imaging data, and the patient audio data if intervention with the selected patient is warranted.

In embodiments, the present invention provides methods and systems for providing guidance for a procedure with a device. The methods and systems may include analyzing the procedure performed on a patient. The methods and systems may be enabled to track the device. The systems and methods may be enabled to protect the privacy of person.

A patient-worn monitoring system and method for geographically dispersed health care locations. A patient-worn monitoring system comprises a network, a body-worn monitoring station, a monitoring station server, a remote command center, and a rules engine. The network comprises a first sub-network and a second sub-network. The body-worn monitoring station comprises monitoring equipment. The body worn monitoring station monitors data elements from a patient assigned to a health care location and sends monitored data elements to a monitoring station server via the first sub-network. The monitoring station server receives the monitored data elements from the body worn monitoring station and relays the monitored data elements to the remote command center via the second sub-network. The remote command center receives the monitored data elements from the monitoring station server, associates the monitored data elements with the patient assigned to the health care location, accesses patient data elements indicative of a medical condition associated with the patient, and establishes a patient-specific rule associated with the patient. The rules engine selects data elements from the monitored data elements and the patient data elements associated with the patient and applies the patient-specific rule to the selected data elements continuously and simultaneously. A determination is made whether the patient-specific rule for the patient has been contravened. An alert is issued from the remote command center in the event the patient-specific rule for the patient has been contravened.

Uterine cervical cancer Computer-Aided-Diagnosis (CAD) according to this invention consists of a core processing system that automatically analyses data acquired from the uterine cervix and provides tissue and patient diagnosis, as well as adequacy of the examination. The data can include, but is not limited to, color still images or video, reflectance and fluorescence multi-spectral or hyper-spectral imagery, coherent optical tomography imagery, and impedance measurements, taken with and without the use of contrast agents like 3-5% acetic acid, Lugol's iodine, or 5-aminolevulinic acid. The core processing system is based on an open, modular, and feature-based architecture, designed for multi-data, multi-sensor, and multi-feature fusion. The core processing system can be embedded in different CAD system realizations. For example: A CAD system for cervical cancer screening could in a very simple version consist of a hand-held device that only acquires one digital RGB image of the uterine cervix after application of 3-5% acetic acid and provides automatically a patient diagnosis. A CAD system used as a colposcopy adjunct could provide all functions that are related to colposcopy and that can be provided by a computer, from automation of the clinical workflow to automated patient diagnosis and treatment recommendation.

A computer-implemented method for integrating disparate health-related procedures and health-related data derived from disparate sources for an individual patient is provided. The method includes generating an integrated patient profile comprising procedure-specific data obtained by performing one or more health-related procedures on the patient. Additionally, the method includes accessing health-related data pertinent to the patient, and creating an integrated patient record based upon the integrated patient profile and health-related data.

A method useful for facilitating choosing a treatment or treatment regime and for predicting the outcome of a treatment for a disorder which is diagnosed and monitored by a physician or other appropriately trained and licensed professional, such as for example, a psychologist, based upon the symptoms experienced by a patient. Unipolar depression is an example of such a disorder, however the model may find use with other disorders and conditions wherein the patient response to treatment is variable. In the preferred embodiment, the method for predicting patient response includes the steps of performing at least one measurement of a symptom on a patient and measuring that symptom so as to derive a baseline patient profile, such as for example, determining the symptom profile with time; defining a set of a plurality of predictor variables which define the data of the baseline patient profile, wherein the set of predictor variables includes predictive symptoms and a set of treatment options; deriving a model that represents the relationship between patient response and the set of predictor variables; and utilizing the model to predict the response of said patient to a treatment. A neural net architecture is utilized to define a non-linear, second order model which is utilized to analyze the patient data and generate the predictive database from entered patient data.