UT PhysiciansUT Medical School Houston Anesthesiology 6431 Fannin St Msb 5020, Houston, TX 77030 (713)5006222 (phone), (713)5006208 (fax)
Education:
Medical School University of Texas Medical School at Houston Graduated: 1988
Languages:
English
Description:
Dr. Doyle graduated from the University of Texas Medical School at Houston in 1988. He works in Houston, TX and specializes in Anesthesiology. Dr. Doyle is affiliated with Lyndon Baines Johnson General Hospital, Memorial Hermann Texas Medical Center, Texas Childrens Hospital and University Of Texas MD Anderson Cancer Center.
National Business Director at eRecyclingCorps, National Account Manager at Samsung Telecommunications America
Location:
Chicago, Illinois
Industry:
Consumer Electronics
Work:
eRecyclingCorps - Chicago, Illinois since Aug 2012
National Business Director
Samsung Telecommunications America - Central Region since Mar 2011
National Account Manager
Samsung Telecommunications America - Central Region Feb 2007 - Feb 2011
Senior Territory Manager
Sprint Nextel - Central Region Jan 2001 - Jan 2007
Senior Account Manager
Avaya (formerly Lucent Technologies) - Greater Chicago Area Apr 1996 - Jan 2001
Account Consultant
Education:
Eastern Illinois University
Bachelor of Arts (BA), Speech Communication and Rhetoric
Covidien since Jun 2013
Chief Scientist, Ventilation
Covidien Mar 2011 - Jun 2013
Director of Product Engineering
Respironics 2003 - 2008
Sr Product Manager
Education:
Loyola Marymount University 1973 - 1977
BS, Biology
This disclosure describes systems and methods for monitoring ventilatory parameters, analyzing ventilatory data associated with those parameters, and providing useful notifications and/or recommendations to clinicians. For example, many clinicians may not easily identify or recognize data patterns and correlations indicative of a fluctuation in resistance during mechanical ventilation of a patient. Furthermore, clinicians may not easily determine potential causes for the fluctuation in resistance and/or steps for mitigating the fluctuation in resistance. According to embodiments, a ventilator may be configured to monitor and evaluate diverse ventilatory parameters to detect fluctuations in resistance and may issue suitable notifications and recommendations to the clinician based on potential causes of the fluctuation, ventilatory and/or patient data, etc. The suitable notifications and recommendations may further be provided in a hierarchical format such that the clinician may selectively access information regarding the fluctuation in resistance.
Ventilator-Initiated Prompt Regarding Auto-Peep Detection During Volume Ventilation Of Triggering Patient Exhibiting Obstructive Component
Gary Milne - Louisville CO, US Kirk Hensley - Dublin OH, US Peter R. Doyle - Vista CA, US Gardner Kimm - Carlsbad CA, US
Assignee:
Covidien LP - Mansfield MA
International Classification:
A61M 16/00 G06F 3/00
US Classification:
12820421, 12820418, 12820523, 715700
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 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.
Ventilator-Initiated Prompt Regarding Auto-Peep Detection During Volume Ventilation Of Non-Triggering Patient Exhibiting Obstructive Component
Gary Milne - Louisville CO, US Kirk Hensley - Dublin OH, US Peter R. Doyle - Vista CA, US Gardner Kimm - Carlsbad CA, US
Assignee:
Covidien LP - Mansfield MA
International Classification:
A61M 16/00 G06F 3/00
US Classification:
12820421, 12820418, 12820523, 715700
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 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 Pressure Ventilation Of Patient Exhibiting Obstructive Component
Gary Milne - Louisville CO, US Kirk Hensley - Dublin OH, US Peter R. Doyle - Vista CA, US Gardner Kimm - Carlsbad CA, US
Assignee:
Covidien LP - Mansfield MA
International Classification:
A61M 16/00 G06F 3/00
US Classification:
12820421, 12820418, 12820523, 715700
Abstract:
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
Gary Milne - Louisville CO, US Kirk Hensley - Dublin OH, US Peter R. Doyle - Vista CA, US Gardner Kimm - Carlsbad CA, US
Assignee:
Covidien LP - Mansfield MA
International Classification:
A61M 16/00 G06F 3/00
US Classification:
12820421, 12820418, 12820523, 715700
Abstract:
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.
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 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 Volume Ventilation Of Triggering Patient
Gary Milne - Louisville CO, US Kirk Hensley - Dublin OH, US Peter R. Doyle - Vista CA, US Gardner Kimm - Carlsbad CA, US
Assignee:
Nellcor Puritan Bennett LLC - Boulder CO
International Classification:
A61M 16/00 G06F 3/048
US Classification:
12820523, 12820418, 715809
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 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 In Response To Proposed Setting Adjustment
Gary Milne - Louisville CO, US Kirk Hensley - Dublin OH, US Peter R. Doyle - Vista CA, US Gardner Kimm - Carlsbad CA, US
Assignee:
Nellcor Puritan Bennett LLC - Boulder CO
International Classification:
G06F 3/048 A61M 16/00
US Classification:
715771, 12820421, 715835
Abstract:
This disclosure describes systems and methods for issuing a prompt in response to one or more proposed settings adjustments. Specifically, the prompt may include a projected impact of the one or more proposed settings adjustments on patient condition and/or patient treatment. The prompt may further provide an impact level and/or an alert associated with the projected impact. According to embodiments, one or more recommendations for alternative settings adjustments may be provided on the prompt or on an extension of the prompt. According to embodiments, a clinician may scroll through a plurality of potential settings adjustments until a desired impact level is displayed on the prompt (e.g., a positive impact level). According to still other embodiments, a plurality of proposed settings adjustments may be received. In this case, the projected impact displayed on the prompt may represent a combined projected impact of the plurality of proposed settings adjustments received.
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Jurisdiction:
Illinois (1996) Illinois 1996 New York (1994) New York 1994
Dr. Peter Doyle, BA, Phd (born 1951) is a doctor of Media and Mass Communications, author, musician, and visual artist. He lives in Newtown, and works for ...
7030 Woodbine AV., Suite 500, Markham, On L3R 6G2Past: Eastern Canada Sales Manager at Daltons 1834, District Manager at Catelli Foods, Key... I provide corporations imprinted promotional ideas using proven quality promotional items; such as jackets, pens and golf balls that help them grow their... I provide corporations imprinted promotional ideas using proven quality promotional items; such as jackets, pens and golf balls that help them grow their businesses. "I believe in listening to our client's needs and finding them items that build their brands each and every time."
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Centerville Elementary School Virginia Beach VA 1983-1987, Homer L. Hines Middle School Newport News VA 1988-1989, Newsome Park Middle School Newport News VA 1989-1990, Huntington Middle School Newport News VA 1989-1990, Blair Middle School Williamsburg VA 1990-1991, Brandon Middle School Virginia Beach VA 1991-1992
Community:
Bo Roland, Andrea Pugliese, Margot Walker, Kenny Washington