Increasing demand for computed tomography (CT) and other diagnostic imaging services is driven by population growth and an aging population. The findings recommend that OP and IP diagnostic imaging be provided separately, for efficiency, workload management and infection control reasons. Average IP process delays of 11.9 min were demonstrated compared to less than 1 min for OP. For non-contrast examinations, inpatient workload is 2.5 times greater than outpatient. Data from the DES model provided evidence of the differing workload (captured in staff time) for the IP and OP cohorts.
Lastly, the DES model results are used to inform decision-making and identify a satisficing solution. Secondly, SSM tools are used to identify components for a DES model and service improvement scenarios. Firstly, workflow mapping and system dynamics are used to conceptualize the problem situation and instigate a preliminary data analysis. The three stage framework is supported by qualitative and quantitative methods and uses DES as a decision support tool. The scanner case load consists of unscheduled work and scheduled work. The framework was applied in a single-scanner CT department, which completes circa 6000 examinations per year. In this paper, we propose a framework combining discrete event simulation (DES) modeling and soft systems methodologies (SSM) for use in healthcare which captures the staff experience and metrics to evidence workload. Anecdotally, radiology staff reported increasing levels of workload associated with the patient profile. Demand for Computer Tomography (CT) is growing year on year and the population of Ireland is increasingly aging and ailing.
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