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Optimizing inpatient bed management in a rural community-based hospital: a quality improvement initiative
BackgroundAppropriate use of available inpatient beds is an ongoing challenge for US hospitals. Historical capacity goals of 80% to 85% may no longer...
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Relationship between intensive care surge capacity and hospital factors: an extensive experience
As a prolonged surge scenario, the COVID-19 pandemic has offered an unparalleled opportunity to improve hospital surge capacity (SC) understanding...
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The effect of time-varying capacity utilization on 14-day in-hospital mortality: a retrospective longitudinal study in Swiss general hospitals
BackgroundHigh bed-occupancy (capacity utilization) rates are commonly thought to increase in-hospital mortality; however, little evidence supports a...
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Prediction of hospital bed capacity during the COVID− 19 pandemic
BackgroundPrediction of the necessary capacity of beds by ward type (e.g. ICU) is essential for planning purposes during epidemics, such as the...
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Comparison of experiences of nursing staff and patients before and after move to 100% single-bed room hospital in Australia: mixed methods
BackgroundThere is sufficient and consistent international evidence of issues reported by nurses working in single-bed room environments, requiring a...
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Optimising acute stroke pathways through flexible use of bed capacity: a computer modelling study
BackgroundOptimising capacity along clinical pathways is essential to avoid severe hospital pressure and help ensure best patient outcomes and...
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The impact of inpatient bed capacity on length of stay
ObjectiveLarge reductions in inpatient length of stay and inpatient bed supply have occurred across health systems in recent years. However, the...
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Exploring the role of leaders in enabling adaptive capacity in hospital teams – a multiple case study
BackgroundResilient healthcare research studies how healthcare systems and stakeholders adapt and cope with challenges and changes to enable high...
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The association between bed occupancy rates and hospital quality in the English National Health Service
We study whether hospitals that exhibit systematically higher bed occupancy rates are associated with lower quality in England over 2010/11–2017/18....
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Importance of patient bed pathways and length of stay differences in predicting COVID-19 hospital bed occupancy in England
BackgroundPredicting bed occupancy for hospitalised patients with COVID-19 requires understanding of length of stay (LoS) in particular bed types....
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Resilience in kee** the balance between demand and capacity in the COVID-19 pandemic, a case study at a Swedish middle-sized hospital
BackgroundIn pandemics, it is critical to find a balance between healthcare demand, and capacity, taking into consideration the demands of the...
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A method for detailed determination of hospital surge capacity: a prerequisite for optimal preparedness for mass-casualty incidents
BackgroundDefined goals for hospitals’ ability to handle mass-casualty incidents (MCI) are a prerequisite for optimal planning as well as training,...
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A forecasting tool for a hospital to plan inbound transfers of COVID-19 patients from other regions
BackgroundIn April 2021, the province of Ontario, Canada, was at the peak of its third wave of the COVID-19 pandemic. Intensive Care Unit (ICU)...
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Day of Surgery Admission (DOSA): Thirteen Years’ Experience in a Resource-Limited Hospital in East Sudan-Kassala
With the growing need for health services, proper bed capacity management is mandatory to avoid patient rejection or cancellation of a procedure....
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The Impact of Hospital Capacity Strain: a Qualitative Analysis of Experience and Solutions at 13 Academic Medical Centers
BackgroundHospital capacity strain impacts quality of care and hospital throughput and may also impact the well being of clinical staff and teams as...
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Impact of COVID-19 visitation policies and hospital capacity on discharge readiness in medicine patients
BackgroundCOVID-19 impacted the experience of being hospitalized with the widespread adoption of strict visitation policies to ensure healthcare...
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A deep learning based multimodal interaction system for bed ridden and immobile hospital admitted patients: design, development and evaluation
BackgroundHospital cabins are a part and parcel of the healthcare system. Most patients admitted in hospital cabins reside in bedridden and immobile...
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The Capacity-to-Serve Model as a Data-Driven Process for Provider Capacity Management in Outpatient Community Mental Health
Despite increasing mental health provider supply shortages, research on capacity planning and management in the field of outpatient community mental...
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Predictive analytics for cardio-thoracic surgery duration as a stepstone towards data-driven capacity management
Effective capacity management of operation rooms is key to avoid surgery cancellations and prevent long waiting lists that negatively affect clinical...
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Efficiency and equity of bed utilization in China’s health institutions: based on the rank-sum ratio method
ObjectiveThe study aimed to analyze the efficiency and equity of bed utilization in Please check if the section headings are assigned to appropriate...
