STEPHEN BROSSETTE, MD, PHD
Medical Practice at Southwood Rd, Birmingham, AL
License number
Alabama 23988
Category
Medical Practice
Type
Clinical Pathology
Address
Address
2139 Southwood Rd, Birmingham, AL 35216
Phone
(205) 978-6862
Personal information
See more information about STEPHEN BROSSETTE at radaris.comName
Address
Phone
2139 Southwood Rd, Vestavia Hills, AL 35216
1213 Green Glen Rd, Birmingham, AL 35216
2661 Park St, Birmingham, AL 35203
2661 Park Pl, Birmingham, AL 35203
Organization information
See more information about STEPHEN BROSSETTE at bizstanding.comStephen Brossette
2139 Southwood Rd, Birmingham, AL 35216
Industry:
Medical Doctor's Office, Nonclassifiable Establishments
Principal:
Stephen Brossette (Principal)
Professional information
See more information about STEPHEN BROSSETTE at trustoria.com
Dr. Stephen Brossette, Birmingham AL - MD (Doctor of Medicine)
Dr. Stephen Brossette, Birmingham AL - MD (Doctor of Medicine)
Specialties:
Anatomic & Clinical Pathology
Address:
2139 Southwood Rd, Birmingham 35216
(205) 978-6862 (Phone)
(205) 978-6862 (Phone)
Languages:
English
Education:
Medical School
University of Alabama At Birmingham
Graduated: 1997
University of Alabama At Birmingham
Graduated: 1997
Method For Analyzing Sets Of Temporal Data
Method For Analyzing Sets Of Temporal Data
US Patent:
6574583, Jun 3, 2003
Filed:
Oct 5, 2000
Appl. No.:
09/679676
Inventors:
Stephen E. Brossette - Birmingham AL
Stephen A. Moser - Mountain Brook AL
Alan P. Sprague - Columbus OH
Michael J. Hardin - Alabaster AL
Warren T. Jones - Birmingham AL
Stephen A. Moser - Mountain Brook AL
Alan P. Sprague - Columbus OH
Michael J. Hardin - Alabaster AL
Warren T. Jones - Birmingham AL
Assignee:
UAB Research Foundation - Birmingham AL
International Classification:
G06F 15177
US Classification:
702179, 707 6, 707200
Abstract:
A method for analyzing sets of temporal data using a computer is described. Each set of temporal data includes a plurality of records collected at a time unique to each such set and in which each record has a plurality of data items. The method includes the first step of creating data association rules for at least a plurality of sequential data sets wherein each association rule describes data items that are found together in some data records. An incidence proportion is then determined for each such association rule for each temporal data set and these incidence proportions are stored. The incidence proportions for each association rule are grouped into two aggregate proportions by a user defined window schedule that describes one or more pairs of a current window w and a past window w. The cumulative incidence proportions for each association rule for each past window w are compared with the cumulative incidence proportion for the corresponding current window w by a statistical test of two proportions. When the cumulative incidence proportion of the current window w differs significantly from the corresponding cumulative incidence proportion of the past window w , an event is generated.
Method For Analyzing Sets Of Temporal Data
Method For Analyzing Sets Of Temporal Data
US Patent:
6571198, May 27, 2003
Filed:
Jul 10, 2000
Appl. No.:
09/554359
Inventors:
Stephen E. Brossette - Birmingham AL
Stephen A. Moser - Mountain Brook AL
Alan P. Sprague - Columbus OH
Michael J. Hardin - Alabaster AL
Warren T. Jones - Birmingham AL
Stephen A. Moser - Mountain Brook AL
Alan P. Sprague - Columbus OH
Michael J. Hardin - Alabaster AL
Warren T. Jones - Birmingham AL
Assignee:
UAB Research Foundation - Birmingham AL
International Classification:
G06F 15177
US Classification:
702179, 707 6, 707200
Abstract:
A method for analyzing sets of temporal data using a computer wherein each set of temporal data includes a plurality of records collected at a time unique to each such set and in which each record has a plurality of data items. The method includes the first step of creating data association rules for at least a plurality of sequential sets wherein each association rule represents data records having at least some common data items ( ). A confidence factor is then determined for each such association rule and these confidence factors are stored in data partitions for the temporal data sets ( ). The confidence factors for a selected data partition is then compared with the corresponding confidence factors of at least one other data partition ( ), if available. When the confidence factor for the selected data partition varies from the corresponding confidence factor for the at least one other data partition exceeds a threshold value, an alert output signal is generated ( ).
Method For Measuring The Incidence Of Hospital Acquired Infections
Method For Measuring The Incidence Of Hospital Acquired Infections
US Patent:
8060317, Nov 15, 2011
Filed:
Nov 14, 2007
Appl. No.:
11/939619
Inventors:
Stephen E. Brossette - Vestavia AL, US
Assignee:
CareFusion 303, Inc. - San Diego CA
International Classification:
G06F 19/00
US Classification:
702 19
Abstract:
Disclosed is a method and system for analyzing patient hospitalization data to determine a Nosocomial Infection Marker (NIM), the method comprising receiving from a database hospitalization data associated with at least one patient, calculating from the hospitalization data the number of specimens with non-duplicate hospital isolates (SNDHI) markers, calculating from the hospitalization data antibiotic utilization criteria (AUC) markers, and determining the nosocomial infection marker (NIM) for each patient, based upon the calculated SNDHI and AUC markers.
Method For Measuring The Incidence Of Hospital Acquired Infections
Method For Measuring The Incidence Of Hospital Acquired Infections
US Patent:
2012002, Feb 2, 2012
Filed:
Oct 12, 2011
Appl. No.:
13/272158
Inventors:
Stephen E. BROSSETTE - Vestavia AL, US
Assignee:
CareFusion 303, Inc. - San Diego CA
International Classification:
G06Q 50/24
US Classification:
705 3
Abstract:
Disclosed is a method and system for analyzing patient hospitalization data to determine a Nosocomial Infection Marker (NIM), the method comprising receiving from a database hospitalization data associated with at least one patient, calculating from the hospitalization data the number of specimens with non-duplicate hospital isolates (SNDHI) markers, calculating from the hospitalization data antibiotic utilization criteria (AUC) markers, and determining the nosocomial infection marker (NIM) for each patient, based upon the calculated. SNDHI and AUC markers.
System And Method Of Pill Identification
System And Method Of Pill Identification
US Patent:
2013032, Dec 12, 2013
Filed:
Jun 7, 2012
Appl. No.:
13/490510
Inventors:
Stephen E. Brossette - Vestavia AL, US
Assignee:
MEDSNAP, LLC - Birmingham AL
International Classification:
G06K 9/48, H04N 5/225
US Classification:
3482071, 382165, 348E05024
Abstract:
A system and method for identifying pills by determining a size and shape of each pill in a digital image. The system includes a background grid organized as a grid of alternating-colored shapes. The system also includes a digital camera, a processor and a memory. The processor is used to receive and process the digital image taken by the digital camera so as to determine contours for each pill in the image. The contour determination is refined and is used to determine size and shape information for each pill.
Method For Measuring The Incidence Of Hospital Acquired Infections
Method For Measuring The Incidence Of Hospital Acquired Infections
US Patent:
8060315, Nov 15, 2011
Filed:
Jul 26, 2005
Appl. No.:
11/189394
Inventors:
Stephen E. Brossette - Vestavia AL, US
Assignee:
CareFusion 303, Inc. - San Diego CA
International Classification:
G06F 19/00
US Classification:
702 19
Abstract:
Disclosed is a method and system for analyzing patient hospitalization data to determine a Nosocomial Infection Marker (NIM), the method comprising receiving from a database hospitalization data associated with at least one patient, calculating from the hospitalization data the number of specimens with non-duplicate hospital isolates (SNDHI) markers, calculating from the hospitalization data antibiotic utilization criteria (AUC) markers, and determining the nosocomial infection marker (NIM) for each patient, based upon the calculated SNDHI and AUC markers.