Abstract
This study examines the digital transformation of perioperative scheduling within the hospital environment to achieve operational excellence. Based on a 181-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 to yield a digital transformation framework that supports patient-centric improvement across the scheduling of perioperative sub-processes. This research identifies existing limitations, potential capabilities, and subsequent contextual understanding to minimize perioperative process complexity, target opportunity for improvement, and ultimately yield improved scheduling capabilities. Dynamic technological activities of analysis, evaluation, and synthesis applied to specific perioperative patient-centric data collected within integrated hospital information systems yield the organizational resource for process management and control. Conclusions include theoretical and practical implications as well as study limitations.
Recommended Citation
Ryan, James (Jim); Doster, Barbara; Daily, Sandra; and Lewis, Carmen, "Seeking Operational Excellence via the Digital Transformation of Perioperative Scheduling" (2019). AMCIS 2019 Proceedings. 13.
https://aisel.aisnet.org/amcis2019/healthcare_it/healthcare_it/13
Seeking Operational Excellence via the Digital Transformation of Perioperative Scheduling
This study examines the digital transformation of perioperative scheduling within the hospital environment to achieve operational excellence. Based on a 181-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 to yield a digital transformation framework that supports patient-centric improvement across the scheduling of perioperative sub-processes. This research identifies existing limitations, potential capabilities, and subsequent contextual understanding to minimize perioperative process complexity, target opportunity for improvement, and ultimately yield improved scheduling capabilities. Dynamic technological activities of analysis, evaluation, and synthesis applied to specific perioperative patient-centric data collected within integrated hospital information systems yield the organizational resource for process management and control. Conclusions include theoretical and practical implications as well as study limitations.