Abstract: This disclosure describes systems and methods for providing drive pressure ventilation of a patient. The disclosure describes a novel breath type that provides a spontaneous breath type that allows for the calculation of drive pressure that does not require invasive monitoring.

Abstract: Methods, systems, and devices for displaying physiological data in a user interface are described. The method may include identifying a first table and displaying a first row including the first set of values for the first physiological parameter and a second row including the second set of values for the second physiological parameter. The method may further include receiving, from a medical device associated with a patient, measured values associated with the first physiological parameter and the second physiological parameter. In some cases, the method may include identifying a first display range and a second display range based at least in part on the received measured values. The method may also include displaying a first visual indicator and a second visual based on whether the first display range and the second display range visually overlap between the first row and the second row.

Abstract: This disclosure describes improved systems and methods for displaying respiratory data to a clinician in a ventilatory system. Respiratory data may be displayed by any number of suitable means, for example, via appropriate graphs, diagrams, charts, waveforms, and other graphic displays. The disclosure describes novel systems and methods for determining and displaying ineffective patient inspiratory or expiratory efforts or missed breaths in a manner easily deciphered by a clinician.

Abstract: Methods and systems for capturing capnography data during high-flow oxygen therapy (HFOT) are disclosed. An example method includes delivering HFOT by delivering breathing gases at an operational flow rate and an operational oxygen concentration level; initiating a temporary flow-reduction function for a set duration, wherein breathing gases are delivered at a temporary flow rate for the set duration, the temporary flow rate being less than the operational flow rate; capturing capnography data for exhaled air during the set duration; and upon expiration of the set duration, resuming HFOT delivery.

Abstract: This disclosure describes improved systems and methods for displaying respiratory data to a clinician in a ventilatory system. Respiratory data may be displayed by any number of suitable means, for example, via appropriate graphs, diagrams, charts, waveforms, and other graphic displays. The disclosure describes novel systems and methods for determining and displaying ineffective patient inspiratory or expiratory efforts or missed breaths in a manner easily deciphered by a clinician.

Abstract: This disclosure describes systems and methods for providing drive pressure ventilation of a patient. The disclosure describes a novel breath type that provides a spontaneous breath type that allows for the calculation of drive pressure that does not require invasive monitoring.

Abstract: This disclosure describes systems and methods for providing drive pressure ventilation of a patient. The disclosure describes a novel breath type that provides a spontaneous breath type that allows for the calculation of drive pressure that does not require invasive monitoring, where drive pressure is the pressure applied to the lungs that causes them to inflate during mechanical ventilation.

Abstract: This disclosure describes improved systems and methods for displaying respiratory data to a clinician in a ventilatory system. Respiratory data may be displayed by any number of suitable means, for example, via appropriate graphs, diagrams, charts, waveforms, and other graphic displays. The disclosure describes novel systems and methods for determining and displaying ineffective patient inspiratory or expiratory efforts or missed breaths in a manner easily deciphered by a clinician.

Abstract: This disclosure describes improved systems and methods for displaying respiratory data to a clinician in a ventilatory system. Respiratory data may be displayed by any number of suitable means, for example, via appropriate graphs, diagrams, charts, waveforms, and other graphic displays. The disclosure describes novel systems and methods for determining and displaying ineffective patient inspiratory or expiratory efforts or missed breaths in a manner easily deciphered by a clinician.

Abstract: This disclosure describes systems and methods for providing drive pressure ventilation of a patient. The disclosure describes a novel breath type that provides a spontaneous breath type that allows for the calculation of drive pressure that does not require invasive monitoring.

Abstract: This disclosure describes systems and methods for monitoring and evaluating ventilatory data to provide useful notifications and/or recommendations. Indeed, many clinicians may not easily identify or recognize data patterns and correlations indicative of certain patient conditions or the effectiveness of ventilatory treatment. Further, clinicians may not readily determine appropriate adjustments that may address certain patient conditions or the effectiveness of ventilatory treatment. Specifically, clinicians may not readily detect or recognize the occurrence of high-delivered VT during various types of ventilation. According to embodiments, a ventilator may be configured to monitor and evaluate diverse ventilatory parameters to detect an occurrence of and potential causes for high-delivered VT and may subsequently issue suitable notifications and/or recommendations.

Abstract: This disclosure describes systems and methods for monitoring and evaluating ventilatory parameters, analyzing those parameters and providing useful notifications and recommendations to clinicians. That is, modern ventilators monitor, evaluate, and graphically represent multiple ventilatory parameters. However, many clinicians may not easily recognize data patterns and correlations indicative of certain patient conditions, changes in patient condition, and/or effectiveness of ventilatory treatment. Further, clinicians may not readily determine appropriate ventilatory adjustments that may address certain patient conditions and/or the effectiveness of ventilatory treatment. Specifically, clinicians may not readily detect or recognize the presence of asynchrony during ventilation.

Abstract: This disclosure describes systems and methods for monitoring and evaluating ventilatory data to provide useful notifications and/or recommendations. Indeed, many clinicians may not easily identify or recognize data patterns and correlations indicative of certain patient conditions or the effectiveness of ventilatory treatment. Further, clinicians may not readily determine appropriate adjustments that may address certain patient conditions or the effectiveness of ventilatory treatment. Specifically, clinicians may not readily detect or recognize the occurrence of high-delivered VT, during various types of ventilation. According to embodiments, a ventilator may be configured to monitor and evaluate diverse ventilatory parameters to detect an occurrence of and potential causes for high-delivered VT, and may subsequently issue suitable notifications and/or recommendations.

Abstract: This disclosure describes systems and methods for monitoring and evaluating ventilatory parameters, analyzing those parameters and providing useful notifications and recommendations to clinicians. That is, modern ventilators monitor, evaluate, and graphically represent multiple ventilatory parameters. However, many clinicians may not easily recognize data patterns and correlations indicative of certain patient conditions, changes in patient condition, and/or effectiveness of ventilatory treatment. Further, clinicians may not readily determine appropriate ventilatory adjustments that may address certain patient conditions and/or the effectiveness of ventilatory treatment. Specifically, clinicians may not readily detect or recognize the presence of asynchrony during ventilation.

Abstract: This disclosure describes systems and methods for monitoring and evaluating ventilatory parameters, analyzing those parameters and providing useful notifications and recommendations to clinicians. That is, modern ventilators monitor, evaluate, and graphically represent a myriad of ventilatory parameters. However, many clinicians may not easily identify or recognize data patterns and correlations indicative of certain patient conditions, changes in patient condition, and/or effectiveness of ventilatory treatment. Further, clinicians may not readily determine appropriate ventilatory adjustments that may address certain patient conditions and/or the effectiveness of ventilatory treatment. Specifically, clinicians may not readily detect or recognize the presence of Auto-PEEP during volume ventilation of a non-triggering patient.

Abstract: Systems and methods are provided for monitoring and evaluating diverse ventilatory parameters to detect an asynchrony and may issue notifications and recommendations suitable for a patient to the clinician when asynchrony, such as an ineffective effort and an auto-trigger, is implicated. The suitable notifications and recommendations may further be provided in a hierarchical format such that the clinician may selectively access summarized and/or detailed information regarding the presence of asynchrony. In more automated systems, recommendations may be automatically implemented.

Abstract: A system for monitoring a patient on ventilation includes a ventilator system configured to provide mechanical ventilation in accordance with a FiO2 setting and a PEEP setting, a temperature sensor configured to sense body temperature, one or more input devices configured to receive patient information, e.g., WBC count information, an information processing system, and a display device. The information processing system is communicatively coupled to the ventilator system, temperature sensor, and input device, and is configured to receive, process, and output FiO2 information, PEEP information, temperature information, and WBC count information. The display device is configured to display the information output from the information processing system graphically as a function of time. The system may further be configured to provide notifications and alerts and/or to generate and transmit reports based on the information received by the information processing system.

Abstract: The systems and methods include providing a volume-targeted minimum pressure-control breath type during ventilation of a patient. The system and methods provide a novel breath type that allows an operator to input a tidal volume and receive some of the benefits of utilizing an airway pressure release ventilation (APRV) breath type in combination with some of the benefits of utilizing a volume-targeted-pressure-control (VC+) breath type.

Abstract: Methods and systems are provided that determine whether a patient is receiving minimal support from a ventilator. In one embodiment, a ventilation system may determine a value of a peak inspiratory pressure (PIP) and a value of a positive end-expiratory pressure (PEEP) of a patient. The ventilation system may determine a pressure differential between the value of PIP and the value of PEEP and compare the pressure differential to a threshold. The ventilation system may determine that the patient is receiving minimal support if the pressure differential is below the threshold. Further, the ventilation system may provide an indication of the detection of minimal support.

Abstract: This disclosure describes systems and methods for monitoring and evaluating ventilatory parameters, analyzing those parameters and providing useful notifications and recommendations to clinicians. That is, modern ventilators monitor, evaluate, and graphically represent multiple ventilatory parameters. However, many clinicians may not easily recognize data patterns and correlations indicative of certain patient conditions, changes in patient condition, and/or effectiveness of ventilatory treatment. Further, clinicians may not readily determine appropriate ventilatory adjustments that may address certain patient conditions and/or the effectiveness of ventilatory treatment. Specifically, clinicians may not readily detect or recognize the presence of double triggering during ventilation.