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Applications of staffing, scheduling, and budgeting methodologies to hospital ancillary units
dc.contributor.authorKim, Myeng-Kien_US
dc.contributor.authorHancock, Walton M.en_US
dc.date.accessioned2006-09-11T15:32:24Z
dc.date.available2006-09-11T15:32:24Z
dc.date.issued1989-02en_US
dc.identifier.citationKim, Myeng-Ki; Hancock, Walton M.; (1989). "Applications of staffing, scheduling, and budgeting methodologies to hospital ancillary units." Journal of Medical Systems 13(1): 37-47. <http://hdl.handle.net/2027.42/44991>en_US
dc.identifier.issn1573-689Xen_US
dc.identifier.issn0148-5598en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/44991
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=2723559&dopt=citationen_US
dc.description.abstractA computer-aided methodology for integrating the budgeting, staffing, and labor productivity systems of Ancillary Services using Respiratory Therapy as an example is presented. The data needed, staffing computations and schedules, and productivity analysis are presented and discussed. A summary of the predicted savings and other benefits for the application hospital are presented with comparisons to present productivity systems.en_US
dc.format.extent594440 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.titleApplications of staffing, scheduling, and budgeting methodologies to hospital ancillary unitsen_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, Michiganen_US
dc.contributor.affiliationumFrom the Industrial & Operations Engineering Department, The University of Michigan, 48109-2110, Ann Arbor, Michiganen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.identifier.pmid2723559en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/44991/1/10916_2005_Article_BF01002389.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1007/BF01002389en_US
dc.identifier.sourceJournal of Medical Systemsen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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