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This paper describes a novel approach employing time based clustering of health data for visualization and analysis of patient flow. Clustering inpatient and emergency department patient episodes into hourly slots based on recorded timestamps, and then grouping them on required parameters, the technique provides a powerful tool for visualizing and analyzing(More)
OBJECTIVES To investigate the effect of hospital occupancy levels on inpatient and ED patient flow parameters, and to simulate the impact of shifting discharge timing on occupancy levels. METHODS Retrospective analysis of hospital inpatient data and ED data from 23 reporting public hospitals in Queensland, Australia, across 30 months. Relationships(More)
The complexity of hospital operations ensures that one-size-fits-all solutions seldom work. As hospitals turn to evidence based strategies to redesign flow, it is critical that they tailor the strategies to suit their individual service. This paper analyses the effect of hospital occupancy on inpatient and emergency department patient flow parameters at the(More)
The ability of hospital staff to get a patient to the right bed at the right time is dependent on bed occupancy, and is a key issue in all acute hospitals. This paper seeks to identify the impact of admission and discharge timing on hospital occupancy with reference to the peak in daily admissions and discharges. Patient admissions data from 23 Queensland(More)
OBJECTIVE To assess the cost of the mandatory use of high-efficiency particulate respirators to treat patients with known or suspected tuberculosis. DESIGN A questionnaire was used to determine the number of high-efficiency particulate respirators required and the number of cases of tuberculosis in employees that could potentially be prevented. Indirect(More)
OBJECTIVES The study aims to investigate the effect of time of day and ED occupancy on the ability of EDs to admit or discharge patients within 4 h in accordance with the National Emergency Access Target (NEAT), and to compare this with corresponding levels of access block, the measure for ED performance before NEAT. METHODS This is a retrospective(More)
BACKGROUND Hospital administrative data commonly consist of hundreds of variables with many consisting of hundreds, if not thousands, of distinct categories, especially for disease groups. Conventional approaches to develop regression models for prediction either fail completely due to multicollinearity or sparsity issues or take too long and consume too(More)
Potentially preventable hospital readmissions have a crippling effect on the health of chronic disease patients and on healthcare funding and resource utilization. While several prediction models have been proposed to help identify and manage high risk patients, most offer only moderate predictive power and discriminative ability. We develop and validate(More)
AIM To describe and compare standard practice with a revised, assisted method for calculating emergency department nursing workforce requirements (using the emergency nursing workforce tool, ENWT) within 27 Queensland public hospital emergency departments (ED). BACKGROUND Despite the presence of several methodologies used for staffing calculations, there(More)
OBJECTIVE Despite significant workflow reform to comply with the federally mandated National Emergency Access Target (NEAT), Australian public hospitals continue to face significant barriers in achieving good ED patient flow. This study was undertaken to identify and analyse the impact of individual waypoints on an ED patient's journey and identify which(More)