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dc.contributor.authorField, Terry S.
dc.contributor.authorRochon, Paula A.
dc.contributor.authorLee, Monica
dc.contributor.authorGavendo, Linda
dc.contributor.authorSubramanian, Sujha
dc.contributor.authorHoover, Sonja
dc.contributor.authorBaril, Joann L.
dc.contributor.authorGurwitz, Jerry H.
dc.date2022-08-11T08:09:37.000
dc.date.accessioned2022-08-23T16:37:50Z
dc.date.available2022-08-23T16:37:50Z
dc.date.issued2008-04-26
dc.date.submitted2009-10-22
dc.identifier.citation<p>J Am Med Inform Assoc. 2008 Jul-Aug;15(4):466-72. Epub 2008 Apr 24. <a href="http://dx.doi.org/10.1197/jamia.M2589">Link to article on publisher's site</a></p>
dc.identifier.issn1067-5027 (Print)
dc.identifier.doi10.1197/jamia.M2589
dc.identifier.pmid18436908
dc.identifier.urihttp://hdl.handle.net/20.500.14038/39115
dc.description.abstractA team of physicians, pharmacists, and informatics professionals developed a CDSS added to a commercial electronic medical record system to provide prescribers with patient-specific maximum dosing recommendations based on renal function. We tracked the time spent by team members and used US national averages of relevant hourly wages to estimate costs. The team required 924.5 hours and $48,668.57 in estimated costs to develop 94 alerts for 62 drugs. The most time intensive phase of the project was preparing the contents of the CDSS (482.25 hours, $27,455.61). Physicians were the team members with the highest time commitment (414.25 hours, $25,902.04). Estimates under alternative scenarios found lower total cost estimates with the existence of a valid renal dosing database ($34,200.71) or an existing decision support add-on for renal dosing ($23,694.51). Development of a CDSS for a commercial computerized prescriber order entry system requires extensive commitment of personnel, particularly among clinical staff.
dc.language.isoen_US
dc.relation<p><a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=18436908&dopt=Abstract">Link to Article in PubMed</a></p>
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC2442257/
dc.subjectCosts and Cost Analysis
dc.subjectDecision Support Systems, Clinical
dc.subjectDrug Therapy, Computer-Assisted
dc.subjectHealth Personnel
dc.subjectHumans
dc.subjectLong-Term Care
dc.subjectMedical Order Entry Systems
dc.subjectMedical Records Systems, Computerized
dc.subjectMedication Systems
dc.subjectOrganizational Innovation
dc.subjectRenal Insufficiency
dc.subjectTask Performance and Analysis
dc.subjectUser-Computer Interface
dc.subjectLife Sciences
dc.subjectMedicine and Health Sciences
dc.titleCosts associated with developing and implementing a computerized clinical decision support system for medication dosing for patients with renal insufficiency in the long-term care setting
dc.typeJournal Article
dc.source.journaltitleJournal of the American Medical Informatics Association : JAMIA
dc.source.volume15
dc.source.issue4
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/oapubs/1930
dc.identifier.contextkey1042857
html.description.abstract<p>A team of physicians, pharmacists, and informatics professionals developed a CDSS added to a commercial electronic medical record system to provide prescribers with patient-specific maximum dosing recommendations based on renal function. We tracked the time spent by team members and used US national averages of relevant hourly wages to estimate costs. The team required 924.5 hours and $48,668.57 in estimated costs to develop 94 alerts for 62 drugs. The most time intensive phase of the project was preparing the contents of the CDSS (482.25 hours, $27,455.61). Physicians were the team members with the highest time commitment (414.25 hours, $25,902.04). Estimates under alternative scenarios found lower total cost estimates with the existence of a valid renal dosing database ($34,200.71) or an existing decision support add-on for renal dosing ($23,694.51). Development of a CDSS for a commercial computerized prescriber order entry system requires extensive commitment of personnel, particularly among clinical staff.</p>
dc.identifier.submissionpathoapubs/1930
dc.contributor.departmentMeyers Primary Care Institute
dc.source.pages466-72


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