1521results about "Computer-assisted medical data acquisition" patented technology

A system and method relates to the field of building and administrating a patient management and health care management database containing data relevant to the clinical care of patients, to the management of the practices to which the patients belong, and to outcomes of that health care and practice management. The disclosed system encompasses (i) designing and administering paper and pen and hand held computer survey instruments; (ii) administering and collecting completed surveys (iii) building and managing a database of information collected from the surveys; (iv) analyzing data collected from the surveys; (v) and providing clinical practices with summary information. Summary information may be used to improve patient care, health outcomes, and the management of physician practices.

A method, system, and computer program product related to the diagnosis of diabetes, and is directed to predicting the long-term risk of hyperglycemia, and the long-term and short-term risks of severe hypoglycemia in diabetics, based on blood glucose readings collected by a self-monitoring blood glucose device. The method, system, and computer program product pertain directly to the enhancement of existing home blood glucose monitoring devices, by introducing an intelligent data interpretation component capable of predicting both HbA_1c and periods of increased risk of hypoglycemia, and to the enhancement of emerging continuous monitoring devices by the same features. With these predictions the diabetic can take steps to prevent the adverse consequences associated with hyperglycemia and hypoglycemia.

A sports electronic training system, and applications thereof, are disclosed. In an embodiment, the system comprises at least one monitor and a portable electronic processing device for receiving data from the at least one monitor and providing feedback to an individual based on the received data. The monitor can be a motion monitor that measures an individual's performance such as, for example, speed, pace and distance for a runner. Other monitors might include a heart rate monitor, a temperature monitor, an altimeter, et cetera. Feedback provided to a user typically includes, for example, training information such as whether the user is satisfying specific workout and/or training criteria. In an embodiment, the functionality of the sports electronic training system is enhanced by enabling the portable electronic processing device to interact with other devices and applications, for example, using the Internet.

The present invention relates to a method of generating a three dimensional representation of one or more anatomical joints, wherein the representation comprises two or more movable bodies and one or more links, comprising the steps of inputting anatomically representative data of two or more movable bodies of the selected joint or joints; selecting one or more link types responsive to the representative data of the bodies; selecting link characteristics responsive to each selected link type; generating an equilibrium condition responsive to interaction between the bodies and the links; and displaying a three dimensional representation of the selected joint or joints responsive to the data generated from the equilibrium condition of the anatomical joint or joints. The present invention further relates to a system for generating a three dimensional representation of one or more anatomical joints, and a method of planning surgery of one or more anatomical joints.

Methods and systems for providing a lifestyle companion system are provided. The lifestyle companion system can provide a platform to conduct a user interview. Based on the user interview responses, the system can suggest activities, references, and/or plug-in modules. During performance of activities, the system can provide audio and/or visual cues related to the activities and collect data indicative of the user's performance. Based on the collected data, the system can dynamically adapt the user's goals and/or activities the user is performing or will perform. In some embodiments of the present invention, the lifestyle companion system of the present invention can be applied to fitness, nutrition, and/or medical modules. The system also can be used to facilitate synchronous group activities.

The invention relates to a system and method for determining human emotion by analyzing a combination of eye properties of a user including, for example, pupil size, blink properties, eye position (or gaze) properties, or other properties. The system and method may be configured to measure the emotional impact of various stimuli presented to users by analyzing, among other data, the eye properties of the users while perceiving the stimuli. Measured eye properties may be used to distinguish between positive emotional responses (e.g., pleasant or “like”), neutral emotional responses, and negative emotional responses (e.g., unpleasant or “dislike”), as well as to determine the intensity of emotional responses.

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.

A monitoring system which collects patient physiological date is designed specifically for communication with a communication module which facilitates data transfer from the monitoring system to a remote site. The communication module has data input mechanisms to facilitate setting parameters of the monitoring system and/or the communication module. The communication module is provided with a modem member which is used to communicate with the remote site and an optional data exchange module which is designed to communicate the same information with a local computer system. The remote site may be a bulletin board system or internet site where the monitoring information can be stored by the patient using the monitoring system by patient identification or name and include monitoring readings, time and date stamp, conditions such as meal times, exercise times and therapy amounts and their associated date and time.

An interface point network (IPN) and a method for communication with a laboratory information system using an IPN, wherein the IPN includes at least one host computer in communication with at least one laboratory instrument, the laboratory information system and an interface point server in communication with the host computer and the laboratory information system, the interface point server being configured to function as a communication interface between the host computer and the laboratory information system in a manner responsive to a predetermined communication protocol. Use of bar code and RFID labels for tracking samples and in maintaining sample data is described.

A computer implemented system for the production of medical records, legal documents and other frequently produced semi-technical documents. This is accomplished by generating an intelligent computer-guided interview and the use of serialized scriptable objects. Major program elements include a knowledge base text file, a parse engine, and an execution module. The knowledge base uses a unique rule syntax. The parse engine converts the textual knowledge base file to a compiled binary representation which can then be interpreted by the execution module. The execution module leads the user through the interview by generating a series of questions and presents possible answers in the form of pick lists. The data is recorded with a computer pen and collated into a document file. This file is coded in binary format and can be written to and recalled from disk. If the file is recalled from disk the user can continue to answer questions or change answers previously given. The result is a mobile computing system whereby data is input in a structured format. When the program is executed the user is prompted for answers to questions and, based upon the user's response, the final document can change considerably. Depending upon each answer, the program may change the subsequent questions being asked, change the list associated with a question, change the text being generated, or change the entire structure of the document. The data collected may be also be stored in a database for analysis at a later date. Finally, the data collected is output in a narrative text format which can be tailored according to the traditions and expectations of the user's profession. The program will output the text via a printer or it can be transmitted via electronic means.

A method and systems for managing a multi-domain health and wellness program using remotely located terminal devices, software agents and remotely stored participant information associated with definable access levels. The system referred to herein as Intelligent Health Management Technology (IHMT) system, provides assistance in regards to the management of chronic diseases in conjunction with multi-domain health and wellness programs. The system collects personal health information and medical record data and analyzes the information, and simulates medical decision-making process and is based on general medical decision making principles, common sense principles, and specific logic for a given IHMT module. As a result, customized recommendations are provided and may include computer generated recommendations and input from participating third parties (i.e., doctors, dieticians, pharmacists etc.).

A method of capturing patient consents to a prescribed medical procedures. Patient accounts are created on a computerized patient consent management system. The system authenticates a login attempt by a patient and displays a visual representation of a prescribed medical procedure to the patient. The patient consent management system presents at least one consent request input field for accepting a consent input from the patient and stores the consent input as part of the patient account. The patient consent management system presents the consent input to at least one care giver in order to determine if the patient has given consent to the prescribed medical procedure.

Graphical user interfaces, computer readable media, and computer systems for monitoring a chemical process. An administration module sets a plurality of user preferences associated with the chemical process. A people management module defines a user role in the chemical process. An organization module defines an organizational structure of an organization that runs the chemical process. An equipment module defines equipment used in the chemical process. A material module controls a chemical used in the chemical process. A process module defines a chemical reaction in the chemical process.

The invention describes a process for determining a biological state through the discovery and analysis of hidden or non-obvious, discriminatory biological data patterns. The biological data can be from health data, clinical data, or from a biological sample, (e.g., a biological sample from a human, e.g., serum, blood, saliva, plasma, nipple aspirants, synovial fluids, cerebrospinal fluids, sweat, urine, fecal matter, tears, bronchial lavage, swabbings, needle aspirantas, semen, vaginal fluids, pre-ejaculate.), etc. which is analyzed to determine the biological state of the donor. The biological state can be a pathologic diagnosis, toxicity state, efficacy of a drug, prognosis of a disease, etc. Specifically, the invention concerns processes that discover hidden discriminatory biological data patterns (e.g., patterns of protein expression in a serum sample that classify the biological state of an organ) that describe biological states.

A system and related method for identifying a trigger event to a patient health-related exacerbation. The system includes at least one sensor configured to collect data related to the patient health-related exacerbation, an analyzer configured to validate the collected data, a patient interface device configured to receive patient inputs to at least one question, and an identifier device configured to receive the patient inputs and collected data and identify the trigger event. The system may also include an expert system configured to receive the patient inputs and the validated collected data and identify a primary patient disease, and a reporting device configured to generate reports related to the identified primary patient disease, patient inputs, and sensed patient conditions.

A centralized health screening and data mangement system is provided. Specifically, the invention includes a method, system, and computer program for maintaining a centralized health screening and data mangement system in communication with a plurality of screening facilities, such screening facilities including mobile units for dispatch. The screening facilities (and mobile units) provide for collecting health data and conducting tests. The data and test results are transmitted to the centralized health screening and data mangement system for analysis and storage in a manner that is accessible for report generation and aggregate information analysis.

In a system and method for assessing and modifying fatigue, an input device receives current work-rest pattern and/or sleep data from an individual. A data aggregation and processing platform combines the current work-rest pattern and/or sleep data with previous data related to the individual to generate a fatigue assessment result, a diagnostic assessment result, and a corrective intervention result. At least one output display outputs the fatigue assessment result, diagnostic assessment result and corrective intervention result in a user-readable format to a user. The user uses this information to revise the work-rest pattern to reduce or control future fatigue risk.

A method, apparatus and software for diagnosing the state or condition of a human, animal or other living thing, which always generates physiological modulating signals having temporal-spatial organization, the organization having dynamic patterns whose structure is fractal, involving the monitoring of at least one physiological modulating signal and obtaining a set of temporal-spatial values of each of said physiological modulating signals, and processing the respective temporal-spatial values using linear and nonlinear tools to determine the linear and nonlinear characteristics established for known criteria to determine the state or condition of the person, being or living things, and to use this data for diagnosis, tracking, and treatment and developmental issues.

The present invention relates to methods of formulating analyte data databases, the databases themselves, and methods of manipulating the same. In one aspect the present invention includes the formulation of analyte data points, derived data, and data attributes databases comprising data points collected using an analyte monitoring device capable of frequent monitoring of analyte concentrations or amounts. Such data points may comprise acquired data (e.g., values corresponding to analyte concentrations or amounts as measured by said analyte monitoring device). These data points are then associated with one or more relevant data attributes. The resulting databases may be manipulated to determine relationships among the components of the database.