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Operating room scheduling data base analysis for scheduling
dc.contributor.authorHancock, Walton M.en_US
dc.contributor.authorWalter, Paul F.en_US
dc.contributor.authorMore, Roy A.en_US
dc.contributor.authorGlick, Noah D.en_US
dc.date.accessioned2006-09-11T15:32:13Z
dc.date.available2006-09-11T15:32:13Z
dc.date.issued1988-12en_US
dc.identifier.citationHancock, Walton M.; Walter, Paul F.; More, Roy A.; Glick, Noah D.; (1988). "Operating room scheduling data base analysis for scheduling." Journal of Medical Systems 12(6): 397-409. <http://hdl.handle.net/2027.42/44989>en_US
dc.identifier.issn1573-689Xen_US
dc.identifier.issn0148-5598en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/44989
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=3235947&dopt=citationen_US
dc.description.abstractA methodology to determine and maintain the schedule times used in a computer-based OR Scheduling System is presented. State-of-the-art equations to be used for different scheduling situations are presented and discussed with the attendant data base reduction methodology to provide the scheduling parameters. An example is given of the data reduction methodology as well as suggestions for maintenance of the data base.en_US
dc.format.extent667247 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherKluwer Academic Publishers-Plenum Publishers; Plenum Publishing Corporation ; Springer Science+Business Mediaen_US
dc.subject.otherHealth Informatics & Health Administrationen_US
dc.subject.otherStatisticsen_US
dc.subject.otherStatistics for Life Sciences, Medicine, Health Sciencesen_US
dc.titleOperating room scheduling data base analysis for schedulingen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelComputer Scienceen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumFrom the Industrial & Operations Engineering Department, The University of Michigan, 48109-2110, Ann Arbor, Michigan; the Walter Software Engineering, 48189, Whitmore Lake, Michigan; the Health Management Advisors, 48103, Ann Arbor, Michigan; the Health Services Research & Development, Veterans Administration, 48106, Ann Arbor, Michiganen_US
dc.contributor.affiliationumFrom the Industrial & Operations Engineering Department, The University of Michigan, 48109-2110, Ann Arbor, Michigan; the Walter Software Engineering, 48189, Whitmore Lake, Michigan; the Health Management Advisors, 48103, Ann Arbor, Michigan; the Health Services Research & Development, Veterans Administration, 48106, Ann Arbor, Michiganen_US
dc.contributor.affiliationumFrom the Industrial & Operations Engineering Department, The University of Michigan, 48109-2110, Ann Arbor, Michigan; the Walter Software Engineering, 48189, Whitmore Lake, Michigan; the Health Management Advisors, 48103, Ann Arbor, Michigan; the Health Services Research & Development, Veterans Administration, 48106, Ann Arbor, Michiganen_US
dc.contributor.affiliationumFrom the Industrial & Operations Engineering Department, The University of Michigan, 48109-2110, Ann Arbor, Michigan; the Walter Software Engineering, 48189, Whitmore Lake, Michigan; the Health Management Advisors, 48103, Ann Arbor, Michigan; the Health Services Research & Development, Veterans Administration, 48106, Ann Arbor, Michiganen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.identifier.pmid3235947en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/44989/1/10916_2004_Article_BF00992688.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1007/BF00992688en_US
dc.identifier.sourceJournal of Medical Systemsen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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