Covidien LP

Gary Milne

Peter Doyle

Gardner Kimm

Kirk Hensley

Warren G Sanborn

Gail Frances Upham

David Hyde

Richard Nakai

Cynthia Miller

Phyllis Rae Angelico

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.

Systems and methods for drive pressure spontaneous ventilation

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.

Systems and methods for missed breath detection and indication

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.

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 V, 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 V, and may subsequently issue suitable notifications and/or recommendations. The suitable notifications and/or recommendations may further be provided in a hierarchical format such that the clinician may selectively access information regarding the high-delivered V, and/or potential causes for the high-delivered V.

Ventilator-initiated prompt regarding high delivered tidal volume

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. According to embodiments, a ventilator may be configured to monitor and evaluate diverse ventilatory parameters to detect asynchrony and may issue notifications and recommendations suitable for a patient to the clinician when asynchrony is implicated. The suitable notifications and recommendations may further be provided in a hierarchical format.

Ventilator-initiated prompt or setting regarding detection of asynchrony during ventilation

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. According to embodiments, a ventilator may be configured to monitor and evaluate diverse ventilatory parameters to detect Auto-PEEP and may issue suitable notifications and recommendations to the clinician when Auto-PEEP is implicated. The suitable notifications and recommendations may further be provided in a hierarchical format.

Ventilator-initiated prompt regarding auto-peep detection during ventilation of non-triggering patient

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.

Methods and systems for volume-targeted minimum pressure-control ventilation

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. According to embodiments, a ventilator may be configured to monitor and evaluate diverse ventilatory parameters to detect double triggering and may issue notifications and recommendations suitable for a patient to the clinician when double triggering is implicated. The suitable notifications and recommendations may further be provided in a hierarchical format.

Ventilator-initiated prompt regarding detection of double triggering during a volume-control breath type

Ventilator-initiated prompt regarding detection of double triggering during ventilation

Ventilator-initiated prompt regarding Auto-PEEP detection during volume ventilation of non-triggering patient

This disclosure describes systems and methods for monitoring and evaluating ventilatory parameters, analyzing ventilatory data associated with those parameters, and providing useful notifications and/or recommendations to clinicians. 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 various types of pressure ventilation. According to embodiments, a ventilator may be configured to monitor and evaluate diverse ventilatory parameters to detect Auto-PEEP and may issue suitable notifications and recommendations to the clinician when Auto-PEEP is implicated. The suitable notifications and recommendations may further be provided in a hierarchical format.

Ventilator-initiated prompt regarding auto-PEEP detection during pressure ventilation

This disclosure describes systems and methods for monitoring and evaluating ventilatory parameters, analyzing ventilatory data associated with those parameters, and providing useful notifications and/or recommendations to clinicians. 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 various types of pressure ventilation of a patient exhibiting an obstructive component. According to embodiments, a ventilator may be configured to monitor and evaluate diverse ventilatory parameters to detect Auto-PEEP and may issue suitable notifications and recommendations to the clinician when Auto-PEEP is implicated.

Ventilator-initiated prompt regarding auto-PEEP detection during pressure ventilation of patient exhibiting obstructive component

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 Auto-PEEP during volume ventilation of a non-triggering patient exhibiting an obstructive component. According to embodiments, a ventilator may be configured to monitor and evaluate diverse ventilatory parameters to detect Auto-PEEP and may issue notifications and recommendations suitable for a non-triggering patient to the clinician when Auto-PEEP is implicated. The suitable notifications and recommendations may further be provided in a hierarchical format.

Ventilator-initiated prompt regarding auto-PEEP detection during volume ventilation of non-triggering patient exhibiting obstructive component

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 Auto-PEEP during volume ventilation of a triggering patient exhibiting an obstructive component. According to embodiments, a ventilator may be configured to monitor and evaluate diverse ventilatory parameters to detect Auto-PEEP and may issue notifications and recommendations suitable for a triggering patient to the clinician when Auto-PEEP is implicated. The suitable notifications and recommendations may further be provided in a hierarchical format.

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Louisville, CO, United States of America

Gary Milne