1740 results about "Patient data" patented technology

A system for processing data provided by medical devices. The system includes a medical device having a memory device configured to store medical device information. The system also includes an information system connected to the medical device. The information system includes at least a server configured to receive at least a portion of the medical device information from the memory device of the medical device. The server is also configured to employ the medical device information to process at least one of patient data, prescription data and inventory/ordering data. The medical device information may include serial number data, device identifier data, operation data and/or usage data for the medical device. The patient data may include at least one of patient tracking data, patient recordkeeping data and patient billing data. The prescription data may include prescription issuance data, prescription filling data and prescription tracking data. The inventory/ordering data may include at least one of maintenance and replacement schedule data, administrator notification data, and automatically-generated medical device order data.

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 medication delivery system (20) having features of the present invention comprises a medical container (26) holding a prescribed medication (27) to be delivered to a patient, a tag 24 adapted to be worn by the patient, a handheld computing device (22), and an electronic medication delivery device (30). Data on the medication (27) is contained in a first label (28) on the medication container (27). The first label (28) also contains the instruction on how the medication is delivered to the patient, including the appropriate settings for an electronic medication delivery device for delivering the medication to the patient. Patient data is contained in a second label (29) on the tag (24) worn by the patient. The medication data, medication delivery instruction, and patient data are provided in machine readable formats. The handheld computing device (22) reads the medication data and the medication delivery instruction on the medication container (26) and the patient data on the patient tag (24). The handheld computing device (22) stores the information obtained and performs a matching check to confirm that the medication data matches with the patient data. Upon a confirmed match, it transmits the medication delivery instruction to the electronic medication delivery device (30), which downloads the instruction, programs the delivery device 30, and prompts an operator to begin delivering the medication (27) to the patient according to the downloaded instruction.

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 method and system for orthodontic treatment planning, evaluation and quality measurement is provided comprising a workstation having computing platform, a graphical user interface, a processor and a computer storage medium containing digitized records pertaining to a patient. The digitized records include image and other types of data. The computer storage medium further includes a set of software instructions providing graphical user interface tools for providing a user with access to the digitized records for planning orthodontic treatment of a patient. Also provided are reference databases for aiding in the decision process during treatment selection, treatment planning and treatment delivery and progress monitoring and evaluation. Also provided are parameter or criteria measurement techniques and generally acceptable thresholds, which can be updated through learning process and through acquisition of patient data. Once the treatment is planned, the virtual dentition model of the patient in the proposed treatment set-up or the target state is evaluated using several virtual model evaluation features and criteria.

One embodiment discloses a computerized method of facilitating cardiac intervention. The method may include inputting patient data and creating a computerized interactive model of a heart based on the patient data. The model may include features. The model may simulate at least one proposed cardiac intervention by adding or deleting features to the model, and determining the effects of the proposed cardiac simulation upon the entire model. Simulations may be repeated to allow the user to determine an optimal cardiac intervention. A template and/or patient specific instrument may be created from the model to use as a guide during the cardiac intervention.

A method and system for managing mechanical ventilation of patients with respiratory disorders is described. The main objective of the system is to generate executable instructions for patient care which take into account a large number of parameters of patient condition and ventilation. Data regarding the state of the patient are stored in a database. Patient data are processed according to a set of protocols which contain rules for patient care decisions arranged in a logical sequence to generate detailed, executable instructions for patient care. Instructions are updated when new data are entered into the database. The data can be acquired in an automated fashion, or the clinician can be instructed to collect and enter new data into the clinical database. Likewise, patient care instructions can be carried out automatically or manually, but it is preferred that instructions are carried out manually as a safety check. The preferred embodiment of the invention includes a computer system, software for processing patient data, and a display device for presenting patient care instructions to the clinician. The system maintains a record of patient data, patient care instructions, whether instructions were followed by the clinical staff, and if not, a reason why.

Provided is a diagnostic patch system for monitoring and storing patient information, which includes sensors, a data storage unit, and a transceiver. Each of the sensors is attached to a skin to detect a patient data. The data storage unit is configured to store stream of the detected patient data from the plurality of sensors. The transceiver, connected with the sensors and the data storage unit, communicates the stream of the patient data with an analyzer, and the analyzer is configured to process and analyze the stream of the patient data. Two or more diagnostic patch systems can communicate with each other.

An implantable stimulator and monitor measures a group of heart failure parameters indicative of the state of heart failure employing EGM signals, measures of blood pressure including absolute pressure P, developed pressure (DP=systolic P-diastolic P), and/or dP/dt, and measures of heart chamber volume (V) over one or more cardiac cycles. These parameters include: (1) relaxation or contraction time constant tau (.tau.); (2) mechanical restitution (MR), i.e., the mechanical response of a heart chamber to premature stimuli applied to the heart chamber; (3) recirculation fraction (RF), i.e., the rate of decay of PESP effects over a series of heart cycles; and (4) end systolic elastance (E.sub.ES), i.e., the ratios of end systolic blood pressure P to volume V. These heart failure parameters are determined periodically regardless of patient posture and activity level. The physician can determine whether a particular therapy is appropriate, prescribe the therapy for a period of time while again accumulating the stored patient data for a later review and assessment to determine whether the applied therapy is beneficial or not, thereby enabling periodic changes in therapy, if appropriate. Drug therapies and electrical stimulation therapies, including PESP stimulation, and pacing therapies including single chamber, dual chamber and multi-chamber (bi-atrial and/or bi-ventricular) pacing can be delivered. In patient's prone to malignant tachyarrhythmias, the assessment of heart failure state can be taken into account in setting parameters of detection or classification of tachyarrhythmias and the therapies that are delivered.

A virtual interactive environment enables a surgeon or other medical professional to manipulate implants, prostheses, or other instruments using patient-specific data from virtual reality models. The patient data includes a combination of volumetric data, surface data, and fused images from various sources (e.g., CT, MRI, x-ray, ultrasound, laser interferometry, PET, etc.). The patient data is visualized to permit a surgeon to manipulate a virtual image of the patient's anatomy, the implant, or both, until the implant is ideally positioned within the virtual model as the surgeon would position a physical implant in actual surgery. Thus, the interactive tools can simulate changes in an anatomical structure (e.g., bones or soft tissue), and their effects on the external, visual appearance of the patient. CAM software is executed to fabricate the implant, such that it is customized for the patient without having to modify the structures during surgery or to produce a better fit.

Systems and methods support dental implant patient scheduling and treatment process relating to packaging one or more dental appliances as a kit which is readily used by dental professional during surgery, by communicating manufacturing progress information with a doctor over a network and performing patient scheduling and treatment when the dental appliances reach a certain manufacturing progress. A network-based service may also provide a doctor with a treatment solution including a surgical kit derived from patient data.

Implantable medical devices (IMDS) having RF telemetry capabilities for uplink transmitting patient data and downlink receiving programming commands to and from an external programmer having an improved RF module configured to occupy small spaces within the IMD housing to further effect the miniaturization thereof. An RF module formed of an RF module substrate and at least one IC chip and discrete components has a volume and dimensions that are optimally minimized to reduce its volumetric form factor. Miniaturization techniques include: (1) integrating inductors into one or more IC chips mounted to the RF module substrate; (2) mounting each IC chip into a well of the RF module substrate and using short bonding wires to electrically connect bond pads of the RF module substrate and the IC chip; and (3) surface mounting discrete capacitors over IC chips to reduce space taken up on the RF module substrate. The integrated inductors are preferably fabricated as planar spiral wound conductive traces formed of high conductive metals to reduce trace height and width while maintaining low resistance, thereby reducing parasitic capacitances between adjacent trace side walls and with a ground plane of the IC chip. The spiral winding preferably is square or rectangular, but having truncated turns to eliminate 90° angles that cause point-to-point parasitic capacitances. The planar spiral wound conductive traces are further preferably suspended over the ground plane of the RF module substrate by micromachining underlying substrate material away to thereby reduce parasitic capacitances.

A system for processing patient health information (PHI) protects the confidentiality of PHI to achieve regulatory compliance. The PHI contains patient medical data and associated patient identification data. A de-identification agent extracts patient medical data and separates from all identification data to create de-identified patient data. A key is generated that allows subsequent reassociation of the patient medical data and the patient identification data. The de-identified patient data base may be queried for patient screening purposes. Patient queries are processed only if the study or patient screening has been authorized by appropriate authorities, such as an internal review board. Patients whose medical characteristics conform with the patient query are selected for possible use in a study. If re-identification of the selected patients is necessary, and authorized, the key may be used to provide the necessary reassociation. A data log records all access to patient data.

The method and system for managing a patient's blood glucose level predicts an insulin dosing rate to bring a patient's blood glucose level into a preferred target range within a predetermined time interval. The system includes a processor which actuates a blood glucose computer program to measure and predict the patient's blood glucose level. An input mechanism allows for insertion of a preferred target range of the patient's blood glucose level and further permits input of various patient data parameters. The processor calculates the optimum insulin dosing rate for the patient based upon the type of insulin dosing whether it be intravenous dosing and/or subcutaneous dosing. A display mechanism displays the patient dosing parameters and an alarm mechanism alerts a user when the patient's blood glucose level is outside of the preferred patient blood glucose target range.

The operational and functional aspects of one or more IMDs is controlled by physiological data acquired from an external device. Various externally deployed devices collect vital signals for transmission to the IMD. Upon receipt of the signals the IMD cooperatively modifies therapy and diagnostic procedures to be substantially compliant with the received signals. Further, the IMD may store some of the signals for future follow-up or patient data management as needed.

A system for providing a patient list manager includes a client device for point of care capture and access of patient data and a server for providing cloud based hosting. One or more modules can leverage the patient data to help users improve and facilitate the efficiency and safety of patient management, diagnostic imaging management, clinical work flows, charge capture, revenue cycle management, accreditation reporting, quality and outcomes monitoring and improvement, among other things.

A smart bed system is disclosed herein. The smart bed system includes a smart bed adapted to accommodate a patient. The smart bed includes a smart bed computer operatively connectable to one or more monitoring devices. The smart bed computer is configured to store any monitored data recorded by the monitoring devices. The smart bed system also includes a server coupled with the smart bed computer. The server is configured to store any patient data pertaining to the patient. The server is configured to receive the monitored data from the smart bed computer and thereafter to store the monitored data as part of the patient data. The patient data can be selectively transferred from the server to the smart bed computer such that the patient data is accessible directly from the smart bed.

One embodiment discloses a computerized method of facilitating cardiac intervention. The method may include inputting patient data and creating a computerized interactive model of a heart based on the patient data. The model may include features. The model may simulate at least one proposed cardiac intervention by adding or deleting features to the model, and determining the effects of the proposed cardiac simulation upon the entire model. Simulations may be repeated to allow the user to determine an optimal cardiac intervention. A template and/or patient specific instrument may be created from the model to use as a guide during the cardiac intervention.