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Operations Research Methods Applied to Workflow in a Medical Records Department
dc.contributor.authorEdna Chan, S. -Y.en_US
dc.contributor.authorOhlmann, Jeffen_US
dc.contributor.authorDunbar, Stevenen_US
dc.contributor.authorDunbar, Charleneen_US
dc.contributor.authorRyan, Sarah McAllisteren_US
dc.contributor.authorSavory, Paulen_US
dc.date.accessioned2006-09-11T16:30:00Z
dc.date.available2006-09-11T16:30:00Z
dc.date.issued2002-08en_US
dc.identifier.citationEdna Chan, S.-Y.; Ohlmann, Jeff; Dunbar, Steven; Dunbar, Charlene; Ryan, Sarah; Savory, Paul; (2002). "Operations Research Methods Applied to Workflow in a Medical Records Department." Health Care Management Science 5(3): 191-199. <http://hdl.handle.net/2027.42/45813>en_US
dc.identifier.issn1386-9620en_US
dc.identifier.issn1572-9389en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/45813
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=12363046&dopt=citationen_US
dc.description.abstractTranscribing medical documents accurately into pre-defined formats and within certain time frames is vital for administrative and medical purposes in any hospital. This paper describes quantitative models incorporating available data to represent transcription activities of a medical records department. We forecasted the workload of the department, determined the optimal worker schedule and designed a simulation model to represent the workflow of the transcription function of a medical record department. The findings provided insight into the workflow, staffing and performance of the department.en_US
dc.format.extent128236 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherKluwer Academic Publishers; Springer Science+Business Mediaen_US
dc.subject.otherEconomics / Management Scienceen_US
dc.subject.otherPublic Health/Gesundheitswesenen_US
dc.subject.otherEconomic Policyen_US
dc.subject.otherPublic Finance & Economicsen_US
dc.subject.otherFinance /Bankingen_US
dc.subject.otherArenaen_US
dc.subject.otherInteger Programmingen_US
dc.subject.otherARIMAen_US
dc.subject.otherSchedulingen_US
dc.subject.otherOptimizationen_US
dc.subject.otherSimulationen_US
dc.subject.otherForecastingen_US
dc.subject.otherWorkflowen_US
dc.subject.otherMedical Recordsen_US
dc.titleOperations Research Methods Applied to Workflow in a Medical Records Departmenten_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelPublic Healthen_US
dc.subject.hlbsecondlevelMedicine (General)en_US
dc.subject.hlbsecondlevelStatistics and Numeric Dataen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.subject.hlbtoplevelScienceen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Industrial and Operations Engineering, University of Michigan, Ann Arbor, MI, 48109-2117, USAen_US
dc.contributor.affiliationotherOperations Research, North Carolina State University, Raleigh, NC, 27695-7913, USAen_US
dc.contributor.affiliationotherDepartment of Mathematics and Statistics, University of Nebraska – Lincoln, Lincoln, NE, 68588-0323, USAen_US
dc.contributor.affiliationotherMadonna Rehabilitation Hospital, Lincoln, NE, 68506, USAen_US
dc.contributor.affiliationotherDepartment of Industrial and Manufacturing Systems Engineering, Iowa State University, Ames, IA, 50011-2164, USAen_US
dc.contributor.affiliationotherIndustrial and Management Systems Engineering, University of Nebraska – Lincoln, Lincoln, NE, 68588-0518, USAen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.identifier.pmid12363046en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/45813/1/10729_2004_Article_5091200.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1023/A:1019744602444en_US
dc.identifier.sourceHealth Care Management Scienceen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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