KEVIN K TREMPER, MD PHD
Anesthesiologist Assistant at Medical Center Dr, Ann Arbor, MI
License number
Michigan 4301057316
Category
Osteopathic Medicine
Type
Anesthesiology
Address
Address
1500 EAST Medical Center Dr, Ann Arbor, MI 48109
Phone
(734) 936-4280
(734) 936-2047
(734) 936-2047
Personal information
See more information about KEVIN K TREMPER at radaris.comName
Address
Phone
7227 Pleasant Lake Rd, Ann Arbor, MI 48103
7227 Pleasant Lake Rd, Lodi Township, MI 48103
Professional information
Kevin Keefe Tremper, Ann Arbor MI
Specialties:
Anesthesiology
Work:
University of Michigan Medical School
1500 E Medical Center Dr, Ann Arbor, MI 48109
1500 E Medical Center Dr, Ann Arbor, MI 48109
Education:
University of California at Irvine (1978)
Dr. Kevin K Tremper, Ann Arbor MI - MD (Doctor of Medicine)
Specialties:
Anesthesiology
Address:
University Of Michigan Anesthes
1500 E Medical Center Dr SUITE 5048, Ann Arbor 48109
(734) 936-4280 (Phone)
1500 E Medical Center Dr SUITE 5048, Ann Arbor 48109
(734) 936-4280 (Phone)
Certifications:
Anesthesiology, 2012
Awards:
Healthgrades Honor Roll
Languages:
English
Hospitals:
University Of Michigan Anesthes
1500 E Medical Center Dr SUITE 5048, Ann Arbor 48109
University of Michigan Health System
1500 East Medical Center Dr SPC 5474, Ann Arbor 48109
1500 E Medical Center Dr SUITE 5048, Ann Arbor 48109
University of Michigan Health System
1500 East Medical Center Dr SPC 5474, Ann Arbor 48109
Education:
Medical School
University of California At Irvine / California College of Medicine & Surgery
Graduated: 1978
Harbor UCLA Med Center
Graduated: 1979
UCLA
Graduated: 1983
Graduated: 1981
University of California At Irvine / California College of Medicine & Surgery
Graduated: 1978
Harbor UCLA Med Center
Graduated: 1979
UCLA
Graduated: 1983
Graduated: 1981
Monitoring System And Method Using Rules
US Patent:
2005002, Jan 27, 2005
Filed:
Jul 23, 2003
Appl. No.:
10/625633
Inventors:
George Hutchinson - Brookfield WI, US
Michael O'Reilly - Ann Arbor MI, US
Kevin Tremper - Ann Arbor MI, US
Michael O'Reilly - Ann Arbor MI, US
Kevin Tremper - Ann Arbor MI, US
International Classification:
A61B005/00, G06F017/60
US Classification:
600300000, 128920000, 702019000, 705002000
Abstract:
A method of monitoring a subject, such as a patient, using rules is provided. The method includes receiving data from the subject, and applying the data to a rule-based algorithm. The method also preferably includes generating a response based on the application of the rule-based algorithm. Some examples of responses include generating an alarm, generating a suggested reason for an identification of an abnormal condition, and generating a suggested response to an abnormal condition that has been identified. Preferably, more than one set of variables is applied to a particular rule-based algorithm. A monitor using the method may be configured to have multiple rule-based algorithms selected and applied simultaneously. Each rule-based algorithm can generate a unique response, or a combination can be used to generate a smaller number of responses. Also, a monitor using this method may be configured to allow rule-based algorithms to be exchanged and/or altered.
Real Time Clinical Decision Support System Having Medical Systems As Display Elements
US Patent:
2013024, Sep 19, 2013
Filed:
May 6, 2013
Appl. No.:
13/887646
Inventors:
THE REGENTS OF THE UNIVERSITY OF MICHIGAN - , US
KEVIN K. TREMPER - Ann Arbor MI, US
KEVIN K. TREMPER - Ann Arbor MI, US
Assignee:
THE REGENTS OF THE UNIVERSITY OF MICHIGAN - Ann Arbor MI
International Classification:
A61B 5/00, A61B 5/029
US Classification:
600526, 600300, 600508
Abstract:
A clinical decision support system for patient treatment that incorporates patient data to display information in readily identifiable icons for vital organs and medical systems, and in a useable, real-time, updated fashion that extracts data from the medical history, the current medical management, the current physiologic monitors, and associated medical systems to produce warnings and alerts to enable caregivers to be made aware of physiologic systems at risk. These data are not only presented, but also use real-time queries and calculations to enable caregivers to have the types of data that would traditionally assist them in patient care but only be available by reviewing the medical literature and/or doing retrospective individual calculations while providing patient care.
Real Time Clinical Decision Support System Having Linked References
US Patent:
2013025, Sep 26, 2013
Filed:
May 6, 2013
Appl. No.:
13/887659
Inventors:
KEVIN K. TREMPER - Ann Arbor MI, US
Assignee:
THE REGENTS OF THE UNIVERSITY OF MICHIGAN - Ann Arbor MI
International Classification:
A61B 5/00, A61B 5/02, A61B 5/11
US Classification:
600508, 600300, 600595
Abstract:
A clinical decision support system for patient treatment having a monitoring device operably coupled to a patient. The monitoring device outputs a monitoring signal in response to a measured parameter of the patient. A controller receives the monitoring signal and outputs a display signal. The controller further compiles clinical documentation relating to the patient based on the monitoring signal and outputs a documentation signal related thereto. A display device then receives the display signal and the documentation signal and displays the same in connection with various indicia thereby displaying both the monitored signal and associated clinical documentation.
Real-Time Visual Alert Display
US Patent:
8454507, Jun 4, 2013
Filed:
Oct 8, 2010
Appl. No.:
12/900533
Inventors:
Kevin K. Tremper - Ann Arbor MI, US
James M. Blum - Ann Arbor MI, US
James M. Blum - Ann Arbor MI, US
Assignee:
The Regents of The University of Michigan - Ann Arbor MI
International Classification:
A61B 5/00, A61B 5/0205
US Classification:
600301, 600508, 600529
Abstract:
An alert system for patient treatment that incorporates patient data to display information in readily identifiable icons for vital organs, and in a useable, real-time, updated fashion that extracts data from the medical history, the current medical management, and the current physiologic monitors to produce warnings and alerts to enable practitioners to be made aware of physiologic systems at risk, (physiologic systems in normal range, borderline normal range, and abnormal range of function). These data are not only presented, but also use real-time queries and calculations to enable practitioners to have the types of data that would traditionally assist them in patient care but only be available by reviewing the medical literature and/or doing retrospective individual calculations while providing patient care.