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.
Feb 2002 to 2000 President / Principal ConsultantHA International Chicago, IL May 2013 to Jun 2014 SD Team LeadZep Inc
Nov 2013 to Jan 2014 System ArchitectZep Inc
May 2011 to May 2013 SD Team LeadMorton Salt / K+S GmbH
Jun 2010 to May 2011 System ArchitectMilliken Spartanburg, SC Jul 2008 to Jun 2010 System Architect / Team Lead for Variant Configuration, SD and PPForbo Adhesives, RTP Durham, NC Jun 2007 to Jul 2008 Project ManagerHenkel Chemical
Jun 2006 to Jul 2007 Supply Chain LeadDemag Plastics Group
Jun 2005 to Aug 2006 US Project ManagerRockwell Collins
Mar 2004 to Jun 2005 SD/FI ConsultantGeneral Motors Overseas Division Dubai Feb 2002 to Aug 2003 Senior Project ManagerDeloitte Consulting
Oct 2000 to Dec 2001 ManagerGeneral Motors Spare Parts Organization
Aug 1999 to Oct 2000 Sr. Project ManagerWhirlpool Corporation
Sep 1999 to Jun 2000 ManagerErnst & Young LLP
Jul 1997 to Nov 1998 ManagerAvery Dennison
Oct 1988 to Jan 1996 Manager of Systems Projects
Education:
Case Western Reserve University 1995 Masters of Business AdministrationCleveland State University 1988 Bachelor of Science in Computer Science / Finance
Name / Title
Company / Classification
Phones & Addresses
Peter Doyle Associate
Shaines & McEachern PA Colleges, Universities, and Professional Scho...
282 Corporate Dr Ste 2, Englewood, CO 80112
Peter Doyle COO
Lawyers Title Insurance Corporation
655 3Rd Ave, New York, NY 10017
Peter Doyle Junior Analyst
Financial Stock Research Investment Advice
150 E 52Nd St Fl 14, New York, NY 10022
Peter Doyle Owner
Doyle Partnership Construction · Insurance Agencies & Brokerages · Insurance
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.
Gerald English - Glen Ellyn IL, US Allan Zuehlsdorf - Sycamore IL, US Peter Doyle - Los Altos CA, US Aleksey Pirkhalo - Chicago IL, US
Assignee:
Laird Technologies, Inc. - Chesterfield MO
International Classification:
H05K 9/00
US Classification:
361818000
Abstract:
In one exemplary embodiment, an EMI shield assembly generally includes a frame adapted to be secured to a mounting surface, a cover attachable to the frame, and at least one resilient electrically-conductive member disposed on an inner side of the cover. The at least one resilient electrically-conductive member may be configured to contact at least one electrically-conductive surface on the mounting surface, to establish a current-conducting path from the electrically-conductive surface to the cover when the cover is attached to the frame. The at least one resilient electrically-conductive member may be configured to be compressed against at least one electrically-conductive surface on the mounting surface when the cover is attached to the frame. This compression may help provide an effective amount of contact pressure against the at least one electrically-conductive surface to establish a predetermined or desirable level of electrical conductivity.
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.
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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