153 results about "Patient characteristics" patented technology

A device for performing one or more functions in a gastrointestinal tract of a patient includes an anchoring member and at least one actuator, sensor, or combination of both coupled with the anchoring device. The anchoring device is adapted to maintain at least part of the device within a pyloric portion of the patient's stomach and to intermittently engage, without directly attaching to, stomach tissue. Actuators perform any suitable function, such as transmitting energy to tissue, acting as a sleeve to reduce nutrient absorption, occupying space in the stomach, eluting a drug and / or the like. Sensors may be adapted to sense any suitable patient characteristic within the patient's gastrointestinal tract, such as pH, temperature, bile content, nutrient content, fats, sugars, alcohol, opiates, drugs, analytes, electrolytes and / or hemoglobin.

A health monitoring system which tracks the state of health of a patient and compiles a chronological health history of the patient uses a multiparametric monitor which periodically and automatically measures and records a plurality of physiological data from sensors in contact with the patient's body. The data collected is not specifically related to a particular medical condition but, instead, provides the information necessary to derive patterns which are characteristic of healthy patients as well as those who are ill. The data collected is periodically uploaded to a database in which it is stored along with similar health histories for other patients. The monitor is preferably self-contained in a chest strap which is located on the patient's torso, and makes use of a controller which controls sampling of the desired data and storage of the data to a local memory device pending uploading to the database. The more voluminous data collected is reduced and compressed prior to storage in the local memory device. Preferably, much of the monitor circuitry is run intermittently to conserve power. The monitor data is supplemented with subjective data (such as psychological and environmental conditions) collected from the patient using a handheld data input device which runs a program to solicit information from the patient. The subjective data collected is chronologically aligned with the monitor data in the database such that the health history of a patient includes both objective and subjective medical data.

Neural networks are constructed (programmed), trained on historical data, and used to predict any of (1) optimal patient dosage of a single drug, (2) optimal patient dosage of one drug in respect of the patient's concurrent usage of another drug, (3a) optimal patient drug dosage in respect of diverse patient characteristics, (3b) sensitivity of recommended patient drug dosage to the patient characteristics, (4a) expected outcome versus patient drug dosage, (4b) sensitivity of the expected outcome to variant drug dosage(s), (5) expected outcome(s) from drug dosage(s) other than the projected optimal dosage. Both human and economic costs of both optimal and sub-optimal drug therapies may be extrapolated from the exercise of various optimized and trained neural networks. Heretofore little recognized sensitivities-such as, for example, patient race in the administration of psychotropic drugs-are made manifest. Individual prescribing physicians employing deviant patterns of drug therapy may be recognized. Although not intended to prescribe drugs, nor even to set prescription drug dosage, the neural networks are very sophisticated and authoritative "helps" to physicians, and to physician reviewers, in answering "what if" questions.

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 system and method for transacting an automated patient communications session is described. A patent health condition is monitored by regularly collecting physiological measures through an implantable medical device. A patient communications session is activated through a patient communications interface, including an implantable microphone and an implantable speaker in response to a patient-provided activation code. An identification of the patient is authenticated based on pre-defined uniquely identifying patient characteristics. Spoken patient information is received through the implantable microphone and verbal system information is played through the implantable speaker. The patient communications session is terminated by closing the patient communications interface. The physiological measures and the spoken patient information are sent.

A prosthesis system comprises plates that can be positioned against vertebrae and a selected resilient core that can be positioned between the plates to allow the plates to articulate. The selected resilient core can be chosen from a plurality of cores in response to patient characteristics, such as age and / or intervertebral mobility, such that the prosthesis implanted in the patient is tailored to the needs of the patient. The plurality of cores may comprise cores with different resiliencies, and one of the cores can be selected such that the upper and lower plates articulate with the desired shock absorbing resiliency and / or maximum angle of inclination when the one selected core is positioned between the plates.

A method for assessing and analyzing one or more drugs, adverse effects and associated risks, and patient characteristics resulting from the use of at least drug of interest is disclosed. The method comprises the steps of selecting one or more cases for analysis, said cases describing the behavior between at least one drug of interest and a patient genotype; profiling statistically derived values from multiple cases related to the safety of the at least one drug, wherein at least one filter is employed for deriving said values; at least one data mining engine; and an output device for displaying the analytic results from the data mining engine. A system for performing the method is likewise disclosed.

Computer-implemented methods for automatically analyzing a patient's medical images and creating at least one report that provides quantitative metrics related to the patient's current health status and their risks for future health outcomes are provided. In at least one embodiment, the method comprises acquiring at least a first image from an imaging system; obtaining data based on the first image and a set of patient characteristic data; automatically analyzing the first image based on the patient characteristic data and displaying data in a user readable format.

The present invention provides apparatuses and methods for creating a physiologic database or library that can be indexed to at least health, disease, patient characteristics, and acute medical crises or other dangerous condition. The present invention also provides apparatuses and methods for creating an athletic performance database or library. The database can be structured and continuous / pseudo-continuous modeling statistics applied to provide novel insight into performance and progress of an athlete or group of athletes, as well as standing relative to other athletes, or to provide novel insight into the natural history of disease and the response to treatment, and ultimately to improve care delivery.

A tool dislodgement detection apparatus includes an MPS outputting position and orientation (P&O) readings for determining tool motion. A control generates an alarm based on the tool motion and dislodgement criteria. The criteria includes whether the tool motion meets a condition based on the type of medical procedure or tool, the tool parking position, a patient characteristic (e.g., age, weight, gender) or a physician preference. The criteria includes when the correlation between the tool motion and the cardiac, respiration and patient motion changes abruptly. In a prolapse detection apparatus, guidewire tip P&O readings determine a tip motion vector. The control generates an alarm using the motion vector and predetermined criteria. The criteria include a substantial change in the tip orientation not accompanied by a corresponding position change and a change in the motion vector by about 180° accompanied by a corresponding position change no greater than a threshold.

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, including either suspending or adjusting turn schedule based on various types of patient movement. The sensor can include one or more of bi-axial or tri-axial accelerometers, magnetometers and altimeters as well as resistive, inductive, capacitive, magnetic and other sensing devices, depending on whether the sensor is located on the patient or the support surface, and for what purpose. In some embodiments, the sensor can be self-contained in that it can detect orientation and suggest repositioning independent of a host.

Methods, systems and devices for monitoring patient orientation, direction, altitude and location to determine the need for turns as well as to detect impending or actual bed exits or falls. A patient-worn sensor communicates with at least one host server through a mesh network of relay antennae to provide data representative of various patient characteristics. The sensor comprises one or more of an accelerometer, a magnetometer and an altimeter, along with optional other sensors. Various user interfaces are provided for managing patient care using the information developed by algorithms processed at the server based on data received from the patient sensors.

A method for computer-assisted medical navigation and / or pre-operative treatment planning includes detecting the current position of a patient or a part of a patient's body and the positions of medical treatment devices or treatment-assisting devices. The detected positional data can be assigned to body structure data, in order to jointly use the body structure data in assignment with the positional data, within the context of assisting the treatment. The body structure data can be used which is obtained based on a three-dimensional generic model, where the model is adapted by two-dimensional data linking with patient-characteristic, two-dimensional detection data.

Methods, systems and devices for monitoring patient orientation, direction, altitude and location to determine the need for turns as well as to detect impending or actual bed exits or falls. A patient-worn sensor communicates with at least one host server through a mesh network of relay antennae to provide data representative of various patient characteristics. The sensor comprises one or more of an accelerometer, a magnetometer and an altimeter, along with optional other sensors. Various user interfaces are provided for managing patient care using the information developed by algorithms processed at the server based on data received from the patient sensors.

In one embodiment, computer implemented method identifies a risk of developing a condition for a particular patient. First, an initial variable set is developed by utilizing one or more patient databases. Second, an enhanced model predictive of a selected condition is created using machine learning. With the enhanced model developed, patient features vectors are created from a patient health information database for the initial variable set. The enhanced model is applied to these patient feature vectors to predict development of the condition. Patients predicted to have the condition can be enrolled in an appropriate intervention program.

Methods, systems and devices for monitoring patient orientation, direction, altitude and location to determine the need for turns as well as to detect impending or actual bed exits or falls. A patient-worn sensor communicates with at least one host server through a mesh network of relay antennae to provide data representative of various patient characteristics. The sensor comprises one or more of an accelerometer, a magnetometer and an altimeter, along with optional other sensors. Various user interfaces are provided for managing patient care using the information developed by algorithms processed at the server based on data received from the patient sensors.

A vital sign monitoring system that can be used with multiple patients and utilizes historic patient data information for the patient to optimize the process of obtaining current vital sign measurements. Each patient is identified with a unique patient identification device that is automatically detected by the vital sign monitor. The vital sign monitor communicates with a medical records database and obtains historic patient data information and previously diagnosed characteristics for the patient identified by the patient identification device. The historic patient data information and previously diagnosed characteristics of the patient can be utilized by the vital sign monitor to set alarm limits for the vital sign measurements and automatically adjust the blood pressure estimation algorithm of the NIBP monitor.

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 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. Compensation for errors introduced because of chest angle or slope can be automatically performed.

An example method includes: classifying lung function risk based on patient attributes and a clinical protocol; generating alarms and incentives for compliance with the clinical protocol based on patient attributes, clinical protocol, and patient lung function risk; determining an orientation and position of a clinical device based on tagged feature(s) of the clinical device compared to identified patient feature(s); monitoring patient interaction with the clinical device; identifying a deviation from the clinical protocol based on the monitored patient interaction, a patient biometric indicator, and a desired setpoint state in the protocol; when a deviation is identified, providing feedback proportional to the deviation, the feedback including an adjustment with respect to the clinical protocol and / or the clinical device; and triggering at least one alarm and / or incentive based on deviation and feedback, wherein the alarm / incentives differs based on whether and to what extent deviation is identified and feedback.

A method for registering a non-patient-characteristic three-dimensional magnetic resonance data set (MR data set) to patient-characteristic data includes: producing or providing a non-patient-characteristic three-dimensional generic model of a body or body part containing body structure data; ascertaining or providing two-dimensional patient-characteristic detection data of a patient; using a transformation protocol for data-linking the body structure data of the three-dimensional generic model to the two-dimensional patient-characteristic detection data to change or adapt the generic model of the body or body part based on the ascertained two-dimensional patient-characteristic detection data, wherein the three-dimensional generic model is at least correlated with a three-dimensional MR reference data set; and changing or deforming at least a part of the three-dimensional MR reference data set by using the transformation protocol to generate a patient-characteristic three-dimensional MR data set that is registered to the fluoroscopic images.

Methods are provided for predicting the effect of a drug given the drug dose and individual patient clinical characteristics. A neural network is trained on samples of clinical data including the observed drug dose and effect on patients, as well as their individual clinical characteristics. The neural network is then validated to ensure that its predictions fall within an acceptable error range. The neural network is used to predict the effect of a given drug dose for a given set of individual patient clinical characteristics. Methods are also provided for predicting the drug dose required to achieve a desired effect. Another neural network is trained on samples of clinical data including the observed drug dose and effect on patients, as well as their individual clinical characteristics. The neural network is then validated to ensure that its predictions fall within an acceptable error range. The neural network is used to predict the dose of a drug dose required to achieve a desired effect for a patient with a given set of individual clinical characteristics. The first neural network is used to generate training data for the second neural network.

A patient transfer device includes a table assembly having upper and lower tables with counter-rotating upper and lower belts. Means are provided to move the table assembly toward an extended position with the upper belt moving at a rotational speed which is greater than a translational speed of the table assembly. Faster movement of the upper belt may be in response to a determination that the patient has a characteristic whose value is within a predetermined range. The patient characteristic may be patient weight, e.g., with the predetermined range being less than 250 pounds. In the illustrative implementation a patient transfer device of the present invention includes a control system having a keyboard for receiving user input indicating that the upper belt should be moved faster, and control logic responsive to the user input which controls speeds of motors that independently drive the upper belt and the table assembly.

The present invention discloses a doctor recommendation system based on collaborative filtering. The system is characterized in comprising a patient characteristic extraction module, for automatically establishing basic data of a patient by determination, and establishing a complete patient database based on the input requirements; a patient similarity calculation module, for carrying out similarity calculation on the patient with other existing patients in the database through the database established by the patient characteristic extraction module, and obtaining a similarity value; and a recommendation system module, for carrying out collaborative filtering on similar cases by using the result provided by the patient similarity calculation module, recommending a doctor group and departments, tracking the results selected by the patient, and recording and transmitting the content selected by the patient and the click behavior. The system disclosed by the present invention helps the patient to accurately find a similar and successful diagnosis and treatment record, an appropriate doctor is recommended for the patient, and active doctor recommendation is converted to, so that quality of medical care and quality of service are improved, the patient is involved in and informed of the medical decision-making of the diagnosis and treatment process, and the doctor-patient relationship is improved.