Paper Type

Complete

Abstract

This study examines the outcomes of perioperative operating room scheduling using robotic assisted surgical procedures within the hospital environment. Based on a 193-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 perioperative scheduling of pre-admissions, pre-operative, intra-operative, post-operative, and central sterile supply sub-processes. This research identifies existing perioperative scheduling limitations on robotic assisted surgeries, potential capabilities, and subsequent contextual understanding to minimize perioperative process complexity, target opportunity for improvement, and ultimately yield improved robotic assisted 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.

Paper Number

1806

Author Connect URL

https://authorconnect.aisnet.org/conferences/AMCIS2024/papers/1806

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Aug 16th, 12:00 AM

Scheduling Robotic Assisted Surgery within the Perioperative Process

This study examines the outcomes of perioperative operating room scheduling using robotic assisted surgical procedures within the hospital environment. Based on a 193-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 perioperative scheduling of pre-admissions, pre-operative, intra-operative, post-operative, and central sterile supply sub-processes. This research identifies existing perioperative scheduling limitations on robotic assisted surgeries, potential capabilities, and subsequent contextual understanding to minimize perioperative process complexity, target opportunity for improvement, and ultimately yield improved robotic assisted 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.

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