MARIA GARCES
Medical Practice in Tampa, FL

License number
Florida 35722
Issued Date
Jan 5, 1999
Effective Date
Oct 11, 2004
Expiration Date
Jun 30, 2002
Category
Health Care
Type
Clinical Laboratory Personnel
Address
Address
6015 Byaside Ky Dr, Tampa, FL 33615
Phone
(813) 890-3405

Professional information

Maria Garces Photo 1

Product Manager At Cardinal Health

Position:
Product Manager at Cardinal Health
Location:
Tampa/St. Petersburg, Florida Area
Industry:
Hospital & Health Care
Work:
Cardinal Health since Sep 2007 - Product Manager BD Technologies Sep 2003 - Apr 2007 - Product Manager


Maria Garces Photo 2

Maria Garces - Tampa, FL

Work:
Adventist Health System
Healthcare Management Engineer
Cardinal Health, Inc - Reston, VA
Product Manager
BD.id - Franklin Lakes, NJ
Product Manager
Lab-Interlink - Omaha, NE
Sales Product Consultant
Mediware Information Systems - Lenexa, KS
System and Marketing Analyst
SCC Soft Computer Consultants - Clearwater, FL
Business Systems Analyst
Florida Blood Services - Saint Petersburg, FL
Technical Specialist-Medical Technologist
Education:
University of Akron - Akron, OH
Bachelor of Science in Medical Technology
University of Phoenix - Tampa, FL
MBA in Technology Management
Skills:
Vision and strategic planning capability l Six Sigma Black Belt and Lean facilitator


Maria Garces Photo 3

Method And System For Monitoring Medical Treatment

US Patent:
2008022, Sep 11, 2008
Filed:
Jul 24, 2006
Appl. No.:
11/996565
Inventors:
Maria Garces - Tampa FL, US
Cathy A. Loffredo - Tucson AZ, US
Michael Treat VanSickler - Columbia MD, US
Christopher Brian Godschall - Ellicott City MD, US
Assignee:
Becton Dickinson and Company - Franklin Lakes NJ
International Classification:
A61B 5/00, G08B 21/00
US Classification:
600300, 34087016
Abstract:
An electronic network is disclosed for effectively providing a technique to administer medical treatment. The technique pertains to at least one patient and at least one unit for medical treatment. The technique involves receiving patient data and unit data and evaluating at least the patient data and/or unit data to determine whether a match with preexisting data exists, which thereby generates an indication to the user to not proceed with the medical treatment in the absence of such a match.