Prognosemodelle zur Steuerung von intensivmedizinischen COVID-19-Kapazitäten in Deutschland독일의 집중 치료 COVID-19 용량 관리를 위한 예측 모델Article Published on 2022-03-102023-06-13 Journal: Medizinische Klinik, Intensivmedizin Und Notfallme [Category] MERS, SARS, [키워드] Bed occupancy Bettenbelegung intensive care units Intensivstationen Pandemics Pandemien Resource allocation statistical models Statistisches Modell Zuteilung von Ressourcen [DOI] 10.1007/s00063-022-00903-x PMC 바로가기
Hospital preparedness during epidemics using simulation: the case of COVID-19Article Published on 2021-09-272022-10-31 Journal: Central European Journal of Operations Research [Category] COVID-19, [키워드] Admission Bed occupancy Care caused component conducted COVID-19 COVID-19 pandemic Discrete event simulation model Epidemics functions Gompertz growth model growth Health healthcare hospital Hospital resources planning Hospitalization ICU initial intensive care unit Logistic mimicking Outbreaks pathway Patient positive provide Region resource resulting Spain Spread Stage Support virus [DOI] 10.1007/s10100-021-00779-w PMC 바로가기 [Article Type] Article
Impact of Remdesivir on the Treatment of COVID-19 During the First Wave in Spain스페인의 첫 번째 물결 동안 렘데시비르가 COVID-19 치료에 미치는 영향Article Published on 2021-07-012022-09-11 Journal: Advances in therapy [Category] SARS, 치료제, [키워드] 95% CI Admission affected approved Bed occupancy country COVID-19 death Europe First wave highest hospitalized patient hospitalized patients ICU ICUs Impact increase in management mortality rate occupancy rate oxygen Patient Pneumonia pressure prevented reduced reduction Remdesivir required Retrospective study Spain Spanish supplemental oxygen System Trial Wave with COVID-19 [DOI] 10.1007/s12325-021-01804-9 PMC 바로가기 [Article Type] Article
Importance of patient bed pathways and length of stay differences in predicting COVID-19 hospital bed occupancy in EnglandResearch Article Published on 2021-06-092022-10-28 Journal: BMC health services research [Category] COVID-19, MERS, SARS, [키워드] Accuracy average Bed occupancy Bed pathway Care caused Characteristics clinical clinical care college COVID-19 Critical care dataset datasets determine England FIVE hospital Hospital stay hospitalisation hospitalised patient implication Importance ISARIC WHO CCP-UK ISARIC4C Length of stay Local National network NIHR pathway Pathways Patient predicted Public Registered replicate required resource Result SARS-CoV-2 sequence supplementary material transfer university Variation with COVID-19 [DOI] 10.1186/s12913-021-06509-x PMC 바로가기 [Article Type] Research Article
Clinical characteristics and outcomes of critically ill patients with COVID-19 in Kobe, Japan: a single-center, retrospective, observational studyObservational Study Published on 2021-04-012022-10-05 Journal: Journal of anesthesia [Category] SARS, 임상, [키워드] acute respiratory syndrome Bed occupancy Characteristics clinical Clinical characteristics Comorbidity coronavirus Coronavirus disease 2019 COVID-19 COVID-19 patient Critical care Critically ill Critically ill patient described died discharged electrical Follow-up follow-up period hospital Hospitalization ICU initial intensive care interquartile range Invasive mechanical ventilation Japan Kobe median median age medical records men Mortality outbreak outcome Patient remained Respiration Respiration, artificial Respiratory distress syndrome Respiratory distress syndrome, adult retrospective severe acute respiratory syndrome coronavirus 2 single-center strained Survivors the median with COVID-19 [DOI] 10.1007/s00540-021-02897-w PMC 바로가기 [Article Type] Observational Study
Real-time forecasting of COVID-19 bed occupancy in wards and Intensive Care UnitsArticle Published on 2021-03-252022-10-31 Journal: Health care management science [Category] COVID-19, MERS, SARS, [키워드] Algorithm Bed occupancy COVID-19 COVID-19 patient Forecast hospital ICU intensive care unit Kaplan-Meier estimator Length mathematical Netherlands Network of infinite server queues Patient patients predicted provide required resulting Richards’ curve tested transfer [DOI] 10.1007/s10729-021-09553-5 PMC 바로가기 [Article Type] Article
A Study of the Patient Acceptance Capacity of the Yamanashi Prefecture Medical System amid the Coronavirus Disease 2019 PandemicOriginal Research Article Published on 2021-01-142022-10-30 Journal: JMA Journal [Category] COVID-19, [키워드] acceptance adjusted Adjustment analyzed Bed occupancy calculate calculated Capacity coronavirus disease COVID-19 COVID-19 pandemic determine Healthcare provider Healthcare system hospital Hospitalization Hospitalized hospitalized patients hospitals Infectious disease Japan medical system Model occupancy rate pandemic Pandemics Patient patients Psychiatric required secure severe acute respiratory syndrome coronavirus 2 severely ill patient severely ill patients System the mean Tuberculosis were excluded [DOI] 10.31662/jmaj.2020-0034 PMC 바로가기 [Article Type] Original Research Article
Emergency department crowding and hospital transformation during COVID-19, a retrospective, descriptive study of a university hospital in Stockholm, SwedenOriginal Research Published on 2020-10-282022-10-29 Journal: Scandinavian Journal of Trauma, Resuscitation and [Category] Coronavirus, MERS, SARS, [키워드] 95% CI 95% confidence interval Admission baseline Bed occupancy calculated Care changed condition Confidence intervals COVID-19 COVID-19 crisis COVID-19 outbreak crowding declined demographic factor described diagnostics distributions emergency department emergency ward event extreme Factor Factors hospital imaging input introduced key factor less LOS means objective outcome Pearson correlation proportion reduction in Region Result retrospective Retrospective study surge capacity university hospital was reduced [DOI] 10.1186/s13049-020-00799-6 PMC 바로가기 [Article Type] Original Research
Is influenza A(H1N1) pneumonia more severe than other community-acquired pneumonias? Results of the GiViTI survey of 155 Italian ICUsArticle Published on 2011-08-172023-06-14 Journal: Intensive care medicine [Category] Fulltext, 신종인플루엔자, [키워드] Bed occupancy influenza A(H1N1) intensive care units Mortality [DOI] 10.1007/s00134-011-2339-5 PMC 바로가기