A Data-Driven Analysis of Ward Capacity Strain Metrics That Predict Clinical Outcomes Among Survivors of Acute Respiratory Failure
暂无分享,去创建一个
S. Greysen | S. Halpern | M. Harhay | M. Kerlin | G. Weissman | G. Anesi | R. Kohn | B. Bayes | S. Scott | Wei Wang | R. Urbanowicz | S. R. Greysen
[1] V. Liu,et al. Prediction of In-hospital Mortality Among Intensive Care Unit Patients Using Modified Daily Laboratory-based Acute Physiology Score, Version 2 , 2023, Medical care.
[2] Joseph D. Romano,et al. Embedding covariate adjustments in tree-based automated machine learning for biomedical big data analyses , 2020, BMC Bioinformatics.
[3] Jason H. Moore,et al. Embedding covariate adjustments in tree-based automated machine learning for biomedical big data analyses , 2020, BMC Bioinformatics.
[4] Dylan S. Small,et al. Association of a Novel Index of Hospital Capacity Strain with Admission to Intensive Care Units. , 2020, Annals of the American Thoracic Society.
[5] Patricia B. Munroe,et al. Reaching the End-Game for GWAS: Machine Learning Approaches for the Prioritization of Complex Disease Loci , 2020, Frontiers in Genetics.
[6] S. Greysen,et al. Influence of bedspacing on outcomes of hospitalised medicine service patients: a retrospective cohort study , 2020, BMJ Quality & Safety.
[7] M. Kollef,et al. Early Palliative Care Consultation in the Medical ICU: A Cluster Randomized Crossover Trial. , 2019, Critical care medicine.
[8] Jason H Moore,et al. Model selection for metabolomics: predicting diagnosis of coronary artery disease using automated machine learning , 2019, Bioinform..
[9] Trang T. Le,et al. Scaling tree-based automated machine learning to biomedical big data with a feature set selector , 2019, Bioinform..
[10] S. Greysen,et al. Ward Capacity Strain: A Novel Predictor of Delays in Intensive Care Unit Survivor Throughput , 2018, Annals of the American Thoracic Society.
[11] Deepak L. Bhatt,et al. Trends in Hospice Discharge and Relative Outcomes Among Medicare Patients in the Get With The Guidelines–Heart Failure Registry , 2018, JAMA cardiology.
[12] L. Kinsman,et al. Emergency department crowding: A systematic review of causes, consequences and solutions , 2018, PloS one.
[13] S. Ratcliffe,et al. Ward Capacity Strain: A Novel Predictor of 30-Day Hospital Readmissions , 2018, Journal of General Internal Medicine.
[14] Carri W. Chan,et al. Incorporating Longitudinal Comorbidity and Acute Physiology Data in Template Matching for Assessing Hospital Quality: An Exploratory Study in an Integrated Health Care Delivery System , 2018, Medical care.
[15] S. Bagshaw,et al. Healthcare Provider Perceptions of Causes and Consequences of ICU Capacity Strain in a Large Publicly Funded Integrated Health Region: A Qualitative Study , 2017, Critical care medicine.
[16] M. Howell,et al. Association Between In-Hospital Critical Illness Events and Outcomes in Patients on the Same Ward. , 2016, JAMA.
[17] Randal S. Olson,et al. TPOT: A Tree-based Pipeline Optimization Tool for Automating Machine Learning , 2016, AutoML@ICML.
[18] H. Abrams,et al. The Effect of Hospital Isolation Precautions on Patient Outcomes and Cost of Care: A Multi-Site, Retrospective, Propensity Score-Matched Cohort Study , 2016, Journal of General Internal Medicine.
[19] A. Kiss,et al. Emergency Department Length of Stay for Critical Care Admissions. A Population-based Study. , 2016, Annals of the American Thoracic Society.
[20] Michelle N. Gong,et al. A Time-Motion Study of ICU Workflow and the Impact of Strain* , 2016, Critical care medicine.
[21] Randal S. Olson,et al. Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science , 2016, GECCO.
[22] H. Wunsch,et al. Effect of ICU strain on timing of limitations in life-sustaining therapy and on death , 2016, Intensive Care Medicine.
[23] S. Halpern,et al. Intensive care unit capacity strain and adherence to prophylaxis guidelines. , 2015, Journal of critical care.
[24] T. Rimmele,et al. Patient Mortality Is Associated With Staff Resources and Workload in the ICU: A Multicenter Observational Study* , 2015, Critical care medicine.
[25] Trevor Hastie,et al. Statistical Learning with Sparsity: The Lasso and Generalizations , 2015 .
[26] J. Vincent,et al. The Impact of Hospital and ICU Organizational Factors on Outcome in Critically Ill Patients: Results From the Extended Prevalence of Infection in Intensive Care Study* , 2015, Critical care medicine.
[27] A. Garland,et al. A population-based observational study of intensive care unit-related outcomes. With emphasis on post-hospital outcomes. , 2015, Annals of the American Thoracic Society.
[28] F. Dominici,et al. Association between the Medicare hospice benefit and health care utilization and costs for patients with poor-prognosis cancer. , 2014, JAMA.
[29] P. Kaboli,et al. Use of palliative care and hospice among surgical and medical specialties in the Veterans Health Administration. , 2014, JAMA surgery.
[30] S. Ratcliffe,et al. The allocation of intensivists' rounding time under conditions of intensive care unit capacity strain. , 2014, American journal of respiratory and critical care medicine.
[31] T. Iwashyna,et al. Hospital Factors Associated With Discharge Bias in ICU Performance Measurement* , 2014, Critical care medicine.
[32] S. Ratcliffe,et al. Objective factors associated with physicians' and nurses' perceptions of intensive care unit capacity strain. , 2014, Annals of the American Thoracic Society.
[33] Samuel M. Brown,et al. Structure, Process, and Annual ICU Mortality Across 69 Centers: United States Critical Illness and Injury Trials Group Critical Illness Outcomes Study* , 2014, Critical care medicine.
[34] S. Ratcliffe,et al. Outcomes Among Patients Discharged From Busy Intensive Care Units , 2013, Annals of Internal Medicine.
[35] D. Asch,et al. Mortality among patients admitted to strained intensive care units. , 2013, American journal of respiratory and critical care medicine.
[36] C. Torio,et al. National Inpatient Hospital Costs: The Most Expensive Conditions by Payer, 2011 , 2013 .
[37] Peter J Pronovost,et al. Developing a model for attending physician workload and outcomes. , 2013, JAMA internal medicine.
[38] Patricia Kipnis,et al. Risk-adjusting Hospital Mortality Using a Comprehensive Electronic Record in an Integrated Health Care Delivery System , 2013, Medical care.
[39] Vincent Mor,et al. Change in end-of-life care for Medicare beneficiaries: site of death, place of care, and health care transitions in 2000, 2005, and 2009. , 2013, JAMA.
[40] A. Kallam,et al. Physician-Ordered Aerosol Therapy Versus Respiratory Therapist-Driven Aerosol Protocol: The Effect on Resource Utilization , 2012, Respiratory Care.
[41] S. Halpern. ICU capacity strain and the quality and allocation of critical care , 2011, Current opinion in critical care.
[42] Carl van Walraven,et al. Derivation and Validation of a Model to Predict Daily Risk of Death in Hospital , 2011, Medical care.
[43] M. Mccarthy,et al. Measures of crowding in the emergency department: a systematic review. , 2011, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.
[44] Marcelline R. Harris,et al. Nurse staffing and inpatient hospital mortality. , 2011, The New England journal of medicine.
[45] G. Escobar,et al. Length of Stay Predictions: Improvements Through the Use of Automated Laboratory and Comorbidity Variables , 2010, Medical care.
[46] B. Carr,et al. Variation in critical care beds per capita in the United States: implications for pandemic and disaster planning. , 2010, JAMA.
[47] Trevor Hastie,et al. Regularization Paths for Generalized Linear Models via Coordinate Descent. , 2010, Journal of statistical software.
[48] M. Saul,et al. Improved outcomes with routine respiratory therapist evaluation of non-intensive-care-unit surgery patients. , 2009, Respiratory care.
[49] C. O'connor,et al. Day of Admission and Clinical Outcomes for Patients Hospitalized for Heart Failure: Findings From the Organized Program to Initiate Lifesaving Treatment in Hospitalized Patients With Heart Failure (OPTIMIZE-HF) , 2008, Circulation. Heart failure.
[50] Gabriel J. Escobar,et al. Risk-Adjusting Hospital Inpatient Mortality Using Automated Inpatient, Outpatient, and Laboratory Databases , 2008, Medical care.
[51] A Russell Localio,et al. The impact of emergency department crowding measures on time to antibiotics for patients with community-acquired pneumonia. , 2007, Annals of emergency medicine.
[52] E. Seow,et al. Exploring if day and time of admission is associated with average length of stay among inpatients from a tertiary hospital in Singapore: an analytic study based on routine admission data , 2006, BMC Health Services Research.
[53] H. Quan,et al. Coding Algorithms for Defining Comorbidities in ICD-9-CM and ICD-10 Administrative Data , 2005, Medical care.
[54] G. Colice,et al. A Respiratory Therapist-Directed Protocol for Managing Inpatients with Asthma and COPD Incorporating a Long-Acting Bronchodilator , 2005, The Journal of asthma : official journal of the Association for the Care of Asthma.
[55] Marian Vermeulen,et al. Emergency department crowding and thrombolysis delays in acute myocardial infarction. , 2004, Annals of emergency medicine.
[56] R. Tibshirani,et al. Least angle regression , 2004, math/0406456.
[57] David W Bates,et al. Safety of patients isolated for infection control. , 2003, JAMA.
[58] L. Aiken,et al. Hospital nurse staffing and patient mortality, nurse burnout, and job dissatisfaction. , 2002, JAMA.
[59] P. Pronovost,et al. Postoperative complications: does intensive care unit staff nursing make a difference? , 2002, Heart & lung : the journal of critical care.
[60] P. Pronovost,et al. Effect of nurse-to-patient ratio in the intensive care unit on pulmonary complications and resource use after hepatectomy. , 2001, American journal of critical care : an official publication, American Association of Critical-Care Nurses.
[61] Peter J. Pronovost,et al. ICU nurse-to-patient ratio is associated with complications and resource use after esophagectomy , 2000, Intensive Care Medicine.
[62] M. Kollef,et al. The effect of respiratory therapist-initiated treatment protocols on patient outcomes and resource utilization. , 2000, Chest.
[63] E. Mascha,et al. Randomized controlled trial of physician-directed versus respiratory therapy consult service-directed respiratory care to adult non-ICU inpatients. , 1998, American journal of respiratory and critical care medicine.
[64] Ron Kohavi,et al. A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection , 1995, IJCAI.
[65] Todd G Nick,et al. Estimating the degree of emergency department overcrowding in academic medical centers: results of the National ED Overcrowding Study (NEDOCS). , 2004, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.
[66] Hilde van der Togt,et al. Publisher's Note , 2003, J. Netw. Comput. Appl..
[67] H. Quan,et al. Validity of information on comorbidity derived rom ICD-9-CCM administrative data. , 2002, Medical care.
[68] C. Steiner,et al. Comorbidity measures for use with administrative data. , 1998, Medical care.
[69] Daryl Pregibon,et al. Tree-based models , 1992 .