Importance of patient bed pathways and length of stay differences in predicting COVID-19 hospital bed occupancy in England [PDF]
BMC Health Services Research, 2021 Background Predicting bed occupancy for hospitalised patients with COVID-19 requires understanding of length of stay (LoS) in particular bed types. LoS can vary depending on the patient’s “bed pathway” - the sequence of transfers of individual patients ...
Quentin J. Leclerc +10 more
doaj +11 more sources
Time series forecasting of bed occupancy in mental health facilities in India using machine learning [PDF]
Scientific ReportsMachine learning models are vital for forecasting and optimizing healthcare parameters, especially in the context of rising mental health issues in India and globally. With increasing demand for mental health services, effective resource management, like
G. Avinash +3 more
doaj +3 more sources
MARKETING STRATEGY TO INCREASE BED OCCUPANCY RATE
Jurnal Ners, 2017 Introduction: A hospital is an institution for health care providing treatment by specialized staff and equipment, more often but not always providing for longer-term patient stays.
Purwaningsih Purwaningsih +1 more
doaj +5 more sources
Six-month post-intensive care outcomes during high and low bed occupancy due to the COVID-19 pandemic: A multicenter prospective cohort study. [PDF]
PLoS ONE, 2023 IntroductionThe COVID-19 pandemic can be seen as a natural experiment to test how bed occupancy affects post-intensive care unit (ICU) patient's functional outcomes. To compare by bed occupancy the frequency of mental, physical, and cognitive impairments
Ana Castro-Avila +6 more
doaj +3 more sources
Recursive neural networks in hospital bed occupancy forecasting [PDF]
BMC Medical Informatics and Decision Making, 2019 Background Efficient planning of hospital bed usage is a necessary condition to minimize the hospital costs. In the presented work we deal with the problem of occupancy forecasting in the scale of several months, with a focus on personnel’s holiday ...
Ekaterina Kutafina +3 more
doaj +6 more sources
Accelerometer-Based Bed Occupancy Detection for Automatic, Non-Invasive Long-Term Cough Monitoring
IEEE Access, 2023 We present a new machine learning based bed occupancy detection system that uses only the accelerometer signal captured by a bed-attached consumer smartphone.
Madhurananda Pahar +2 more
exaly +3 more sources
Stressed systems: Stroke unit bed occupancy and impact on reperfusion therapy in acute ischemic stroke [PDF]
Frontiers in Neurology, 2023 ObjectivesWe observed a decrease in the number of patients who were offered reperfusion therapy. We aimed to investigate if whether hospital system pressure measured as the percentage of stroke bed occupancy influenced decisions on treatment and ...
Rolf A. Blauenfeldt +4 more
doaj +2 more sources
The COVID-19 Pandemic and the Role of Tele-Nursing in Reducing Bed Occupancy: A Systematic Review [PDF]
Florence Nightingale Journal of NursingAIM: This systematic review examines the tele-nursing methods used during the coronavirus disease-2019 outbreak to manage the increase in patient numbers and investigates strategies for reducing hospital bed occupancy.
Rahim Ali Sheikhi +3 more
doaj +2 more sources
Forecasting hospital bed occupancy: a time series approach with prophet [PDF]
BMC Medical Informatics and Decision MakingBackground Accurate hospital bed occupancy forecasting is essential for effective resource planning and patient flow management. While complex machine learning models have gained popularity in healthcare forecasting, their operational utility often falls
Mohammad Fattouh +4 more
doaj +2 more sources
High Bed Occupancy Rates in Internal Medicine Departments Are Associated with Lower Hand Hygiene Compliance [PDF]
MedicinaBackground and Objectives: The growing number of patients seeking medical care in the internal medicine departments over the past decades has been accompanied by an increase in the bed occupancy rate.
Adi Saad +4 more
doaj +2 more sources