Covidien LP

Robert T Boyer

David Anthony Fox

William A Jordan, Ii

Richard Batch

William A Jordan

John Trenouth

Boris Ilin

Yaniv Refaelovich

Methods, systems, and devices for wireless patient monitoring and medical sensing are described. The methods, systems, and devices may include functionality for receiving a medical dataset associated with a patient, the medical dataset including a plurality of physiological measurements taken from the patient and a plurality of parameters associated with the plurality of physiological measurements. The methods, systems, and devices may also identify one or more groups of parameters from the plurality of parameters within the medical dataset, determine at least a medical device type from which at least a portion of the plurality of physiological measurements were measured, the determining based at least in part on the one or more identified groups of parameters; and display at least a subset of the plurality of physiological measurements from the medical dataset.

Converting unorganized medical data for viewing

Methods, systems, and devices for patient monitoring are described. The method may include receiving data related to a physiological parameter of a patient. The method may further include displaying information related to the physiological parameter of the patient in order to indicate how the patient is trending. In some cases, the method may include adjusting the received data and determining a subset of the adjusted values to display at a computing device. In some other cases, the method may include displaying a health indicator based on the health record of the patient on the computing device. The position of the health indicator may be based on a medical relationship between the data indicated by the health indicator and the physiological parameter.

Contextual patient data representation and display

Methods, systems, and devices for event prediction are described. The method may include receiving real-time data associated with one or more measurements by a device. The method may also include updating one or more slope lines based on past instances of the real-time data and generating a feature vector based on the real-time data and the one or more slopes lines. The method may further include passing the first feature vector through an artificial neural network (ANN) and identifying an ANN output that acts as a predictive score. The method may also include predicting whether or not an event will occur based on the predictive score. In some cases, the predictive score may be passed through a voting mechanism, and the prediction of whether or not the event will occur may depend on an output of the voting mechanism.

Prediction and reporting of medical events

A method for storing data relating to generated alarms includes receiving a physiological signal or a physiological parameter value. The method also includes generating an alarm in response to a determination that the physiological signal or physiological parameter value meets an alarm condition. Additionally, the method includes receiving a relevance indicator indicating a relevance of the generated alarm and storing the relevance indicator and the alarm condition.

Systems and methods for reducing nuisance alarms in medical devices

A system and method for location-based healthcare facility management including the steps of generating a map of the healthcare facility, receiving ongoing location data of a remote device positioned within the healthcare facility, receiving ongoing patient data associated with patients being monitored in the healthcare facility, and delivering a notification to the remote device based on the location data of the remote device at a particular time. The remote devices may be notified of alarming conditions and may be notified with the best route to use for arriving to the alarming condition. The remote devices may be updated with patient data and regional data associated with the regions in which they are located and patients located nearby.

System, method, and software for location assisted mapping and patient monitoring

A method for patient monitoring includes receiving one or more first patient parameters from at least one medical device. The method further includes transforming the one or more first patient parameters into one or more gauge display parameters. The method further includes generating data operable to display the one or more gauge display parameters individually in a particular portion of a display device. The one or more gauge display parameters include at least a historical range and a current value within the historical range. The method further includes analyzing one or more second patient parameters to adjust the one or more gauge display parameters.

System, method, and software for displaying parameter values with historical ranges

A system including a database storing a plurality of patient data corresponding to a plurality of patients, where the patient data corresponds to a particular patient and includes at least one image of the particular patient; and a component configured to receive patient identification information previously assigned to one of the particular patients, extract the patient data corresponding to the particular patient identification information received, and display the patient data on a display including at least one image of the particular patient.

System, method, and software for positive patient identification

A method of receiving data indicative of at least one physiological parameter of a patient, receiving image data of the patient, determining that a value of the at least one physiological parameters signifies an alarm condition in the patient, generating an alarm data set including image or audio data of the patient and the value of at least one physiological parameter, and transmitting a notification of the alarm condition including the alarm data set to a clinician.

Systems and methods for patient monitoring

A system including an image capturing unit configured to capture an image of at least one medical device monitoring a patient, a database including images of a plurality of medical devices, where each image corresponds to a particular medical device, and a data collection server configured to receive the at least one image, receive patient identification data corresponding to the patient, and identify the medical device in the image by comparing the received image with the images stored in the database and matching the received image with the images stored in the database.

Growing community of inventors

Longmont, CO, United States of America

Robert T Boyer