Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A distributed heating and cooling system with air-duct, vent register or vent-diffuser based, collaborative fan devices to dynamically redistribute warmer or cooler air from a space, through an air-duct system of a building, into another space within the building so as to achieve the desired temperatures in the spaces to which these devices are connected. A bi-directional fan would move the air within a room into or out of an air-duct system. The system and method can create a multi-directional air flow within the building. Different fan devices work within different collaboration zones to create a distributed system for heating and cooling.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Methods, systems, and devices for patient monitoring are described. The method may include receiving medical data associated with a measurement by a medical device. The method may also include parsing, from the medical data, a physiological parameter associated with the measurement, a measurement value associated with the physiological parameter, and metadata that indicates how the measurement was performed. The method may further include storing the physiological parameter, the measurement value, and the metadata separately in a table and transmitting, to a display, the measurement value and an indication of the physiological parameter. In some cases, the display may be configured based on the metadata.

Abstract: Methods, systems, and devices for patient monitoring are described. The method may include measuring a physiological parameter associated with a patient and detecting an alarm condition based on the measured physiological parameter. After the alarm condition is detected, the medical device may receive an indication of medical data associated with the patient from a source other than the medical device. The method may further include determining whether to alarm according to the alarm condition and based on the received indication of medical data.

Abstract: Methods, systems, and devices for wireless patient monitoring are described. The methods, systems, and devices, provide a multi-layer alarm having multiple layers that indicate information associated with a patient being monitored by medical devices. The multi-layer alarm may be encoded with at least two layers of information, one layer indicating information related to severity of a measured parameter of the patient, and a second layer indicating other information related to the patient. The multi-layer alarm may be audibly transmitted allowing a clinician to be alerted of relevant information relating to the patient being monitored.

Abstract: 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.

Abstract: 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.

Abstract: Methods and systems are provided for assessing and forecasting a wellness or illness of a patient. A system includes a mobile device including a processor, a device memory in communication with the processor, and a display in communication with the processor. The device memory includes instructions that, when executed, cause the processor to receive a plurality of patient parameters, the plurality of patient parameters including one or more of a temperature of the patient, a pulse of the patient, a respiration rate of the patient, and a blood pressure of the patient, receive a manual input of an additional value corresponding to a subjective parameter of the patient, compare the plurality of patient parameters and the additional value with baseline data, assign a wellness rating to the patient, based on the comparison, and display recommended courses of action associated with the wellness rating of the patient.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A system for monitoring a patient on ventilation including a ventilator system, a pulse oximeter, an information processing system, and a display device. The ventilator system is configured to provide mechanical ventilation in accordance with an FiO2 setting. The pulse oximeter is configured to measure SpO2. The information processing system is communicatively coupled to the ventilator system and the pulse oximeter and is configured to receive, process, and output FiO2 setting information and SpO2 data from the ventilator system and the pulse oximeter, respectively. The display device is configured to display the FiO2 setting information and SpO2 data graphically as a function of time.