Targeting Perioperative Performance Aligned to Hospital Strategy via Digital Transformation

dc.contributor.author Ryan, Jim
dc.contributor.author Doster, Barbara
dc.contributor.author Daily, Sandra
dc.contributor.author Lewis, Carmen
dc.date.accessioned 2020-01-04T07:54:32Z
dc.date.available 2020-01-04T07:54:32Z
dc.date.issued 2020-01-07
dc.description.abstract This study examines the digital transformation of a U.S. hospital’s perioperative process, which yields targeted performance alignment to strategy. Based on a 184-month longitudinal study of a large 1,157 registered-bed academic medical center, the observed effects are viewed through a lens of information technology (IT) impact on core capabilities and core strategy. The results offer a framework that supports patient-centric improvement and targets alignment of perioperative sub-process efforts to overall hospital strategy. This research identifies existing limitations, potential capabilities, and subsequent contextual understanding to minimize perioperative process complexity, target and measure improvement, and ultimately yield process management and hospital strategy alignment. Dynamic activities of analysis, evaluation, and synthesis applied to specific perioperative patient-centric data, collected within integrated hospital information systems, provide the organizational resource for management and control. Conclusions include theoretical and practical implications as well as study limitations.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2020.444
dc.identifier.isbn 978-0-9981331-3-3
dc.identifier.uri http://hdl.handle.net/10125/64186
dc.language.iso eng
dc.relation.ispartof Proceedings of the 53rd Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject IT Architectures and Implementations in Healthcare Environments
dc.title Targeting Perioperative Performance Aligned to Hospital Strategy via Digital Transformation
dc.type Conference Paper
dc.type.dcmi Text
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