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dc.contributor.authorBraaksma, Aleida
dc.contributor.authorCopenhaver, Martin S.
dc.contributor.authorZenteno, Ana C.
dc.contributor.authorUgarph, Elizabeth
dc.contributor.authorLevi, Retsef
dc.contributor.authorDaily, Bethany J.
dc.contributor.authorOrcutt, Benjamin
dc.contributor.authorTurcotte, Kathryn M.
dc.contributor.authorDunn, Peter F.
dc.date.accessioned2023-09-29T19:27:58Z
dc.date.available2023-09-29T19:27:58Z
dc.date.issued2023-06-09
dc.identifier.urihttps://hdl.handle.net/1721.1/152308
dc.description.abstractAbstract Early bed assignments of elective surgical patients can be a useful planning tool for hospital staff; they provide certainty in patient placement and allow nursing staff to prepare for patients’ arrivals to the unit. However, given the variability in the surgical schedule, they can also result in timing mismatches—beds remain empty while their assigned patients are still in surgery, while other ready-to-move patients are waiting for their beds to become available. In this study, we used data from four surgical units in a large academic medical center to build a discrete-event simulation with which we show how a Just-In-Time (JIT) bed assignment, in which ready-to-move patients are assigned to ready-beds, would decrease bed idle time and increase access to general care beds for all surgical patients. Additionally, our simulation demonstrates the potential synergistic effects of combining the JIT assignment policy with a strategy that co-locates short-stay surgical patients out of inpatient beds, increasing the bed supply. The simulation results motivated hospital leadership to implement both strategies across these four surgical inpatient units in early 2017. In the several months post-implementation, the average patient wait time decreased 25.0% overall, driven by decreases of 32.9% for ED-to-floor transfers (from 3.66 to 2.45 hours on average) and 37.4% for PACU-to-floor transfers (from 2.36 to 1.48 hours), the two major sources of admissions to the surgical floors, without adding additional capacity.en_US
dc.publisherSpringer USen_US
dc.relation.isversionofhttps://doi.org/10.1007/s10729-023-09638-3en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceSpringer USen_US
dc.titleEvaluation and implementation of a Just-In-Time bed-assignment strategy to reduce wait times for surgical inpatientsen_US
dc.typeArticleen_US
dc.identifier.citationBraaksma, Aleida, Copenhaver, Martin S., Zenteno, Ana C., Ugarph, Elizabeth, Levi, Retsef et al. 2023. "Evaluation and implementation of a Just-In-Time bed-assignment strategy to reduce wait times for surgical inpatients."
dc.contributor.departmentSloan School of Management
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2023-09-08T03:21:42Z
dc.language.rfc3066en
dc.rights.holderThe Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature
dspace.embargo.termsY
dspace.date.submission2023-09-08T03:21:42Z
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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