Xuanjing Li, Dacheng Liu, Muer Yang, M. Fry, Xiaolei Xie
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Staffing decisions in a tele-ICU: dedicated versus flexible resources
Abstract In a tele-ICU center with flexible staff scheduling, interruptions to tasks with lower priority are common, often prolonging the processing time of these tasks. Dedicated staff scheduling, however, can reduce such interruptions. While dedicated staff scheduling is generally perceived to be less efficient than flexible systems according to traditional queueing theory, the reductions in interruptions call this result into question. To investigate when dedicated staff scheduling could be more efficient than flexible systems for tele-ICUs, we build a discrete-event simulation model to analyze the operational process of admissions and interventions at a real tele-ICU center. Our simulation results show that if the dedicated nurse (intensivist) can process admissions at least 31% (26%) faster than the flexible nurse (intensivist), the dedicated staff scheduling will be preferred. Thus, the tele-ICU administrators should choose the scheduling approach (flexible versus dedicated) based on how often interruptions are likely to occur and their anticipated effect on prolonging the medical staff’s processing times of the interrupted tasks. Our simulation model can also help tele-ICU administrators determine a suitable staffing level by providing the estimated waiting times of admissions and interventions under varying staffing levels.
期刊介绍:
IISE Transactions on Healthcare Systems Engineering aims to foster the healthcare systems community by publishing high quality papers that have a strong methodological focus and direct applicability to healthcare systems. Published quarterly, the journal supports research that explores: · Healthcare Operations Management · Medical Decision Making · Socio-Technical Systems Analysis related to healthcare · Quality Engineering · Healthcare Informatics · Healthcare Policy We are looking forward to accepting submissions that document the development and use of industrial and systems engineering tools and techniques including: · Healthcare operations research · Healthcare statistics · Healthcare information systems · Healthcare work measurement · Human factors/ergonomics applied to healthcare systems Research that explores the integration of these tools and techniques with those from other engineering and medical disciplines are also featured. We encourage the submission of clinical notes, or practice notes, to show the impact of contributions that will be published. We also encourage authors to collect an impact statement from their clinical partners to show the impact of research in the clinical practices.