MRS. LISA VALENTE COX, PA-C
Physician Assistant at Glessner Ave, Mansfield, OH
License number
Ohio 50001573
Category
Nursing
Type
Physician Assistant
Address
Address
2
335 Glessner Ave, Mansfield, OH 44903
5400 Frantz Rd STE 250, Dublin, OH 43016
5400 Frantz Rd STE 250, Dublin, OH 43016
Phone
(419) 522-2734
(419) 522-2240 (Fax)
(419) 522-2240 (Fax)
Personal information
See more information about LISA VALENTE COX at radaris.comName
Address
Phone
4806 E 135Th St, Garfield Heights, OH 44125
4988 Heatherview Dr, Hilliard, OH 43026
452 Windfern Forest Ln, Cincinnati, OH 45244
4255 Monroe Central Rd, Eaton, OH 45320
5245 Waller Rd, Convoy, OH 45832
Professional information
Lisa V Cox, Mansfield OH
Specialties:
Physician Assistant (PA)
Address:
295 Glessner Ave, Mansfield 44903
(419) 522-2734 (Phone), (419) 522-2240 (Fax)
(419) 522-2734 (Phone), (419) 522-2240 (Fax)
Languages:
English
Computerized System And Method For Library Collection Analysis
US Patent:
8401930, Mar 19, 2013
Filed:
Jun 21, 2007
Appl. No.:
11/766443
Inventors:
Lisa Ailene Cox - Dublin OH, US
Glenda Lammers - Columbus OH, US
Myrtle Gay Myers - Canal Winchester OH, US
Glenda Lammers - Columbus OH, US
Myrtle Gay Myers - Canal Winchester OH, US
Assignee:
OCLC Online Computer Library Center, Inc. - Dublin OH
International Classification:
G06Q 10/00, G06Q 1/14, G06Q 20/00, G06Q 30/00, G07G 1/12, G07G 5/00, A01K 5/02, G07B 17/00, G07F 19/00
US Classification:
705 28, 705 22, 705 24, 705 262, 705 269, 705 29, 705 30
Abstract:
An automated tool for analyzing inter-library loan (ILL) transactions to identify holding needs for a library. The automated tool may be used in conjunction with a bibliographic database that comprises data related to inter-library loan requests and document orders. Libraries have the ability to compare borrowing requests over time to identify acquisition priorities, compare borrowing requests based on age, subject, serial, and nonserial items, analyze items the library is borrowing, and analyze items the library is lending. ILL request data may be analyzed by date, by frequency, and by cost. The library may then decide to acquire additional holdings for its collection based on the analyses of ILL transaction data.