Omar Badawi, PharmD, MPH, FCCM

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Citations	4229	3371
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i10-index	29	26

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Leo Anthony CeliMassachusetts Institute of TechnologyVerified email at mit.edu
Alistair JohnsonVerified email at mit.edu
Jesse RaffaResearch Scientist, Lab for Computational Physiology, MITVerified email at mit.edu
Matthieu KomorowskiMD, PhD, Clinical Senior Lecturer at Imperial College London ; Visiting Scholar at MITVerified email at imperial.ac.uk
Anthony GordonProfessor, Imperial College LondonVerified email at imperial.ac.uk
A. Aldo FaisalProfessor in AI & Neuroscience, Imperial College; Chair in Digital Health, University of BayreuthVerified email at imperial.ac.uk
Thomas BrennanPost-doctoral Research Engineer, Laboratory of Computational Physiology, Massachusetts Institute of TechnologyVerified email at mit.edu
Louis MAYAUDMensia TechnologiesVerified email at mensiatech.com
Mengling 'Mornin' FengNational University of SingaporeVerified email at nus.edu.sg
Tristan NaumannPrincipal Researcher, Microsoft Research Health FuturesVerified email at microsoft.com
Dr. Marzyeh GhassemiAssociate Professor, EECS/IMES, MITVerified email at mit.edu
Jiachen ZhouUCBVerified email at ucb.com
Meeta KerlinUniversity of PennsylvaniaVerified email at uphs.upenn.edu
Miguel Ángel Armengol de la HozBig Data Department - PMC <> MIT Critical Data <> Beth Israel DeaconessVerified email at juntadeandalucia.es
Jeffrey K JoplingAssistant Professor of Surgery, Johns Hopkins MedicineVerified email at jhmi.edu
John SpertusSaint Luke's Mid America Heart Institute/University of Missouri - Kansas CityVerified email at umkc.edu
Susan BoklageRegeneron Pharmaceuticals, Inc.Verified email at regeneron.com
Adam BressUniversity of Utah School of MedicineVerified email at hsc.utah.edu
Gilles L FraserTufts University School of Medicine (ret.)
Sunil SwamiBlue Health Intelligence, Blue Cross Blue Shield

Omar Badawi, PharmD, MPH, FCCM

US Army Telemedicine and Advanced Technology Research Center

Verified email at health.mil

Critical Care Epidemiology Pharmacotherapy Clinical Informatics Telehealth


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The eICU Collaborative Research Database, a freely available multi-center database for critical care research TJ Pollard, AEW Johnson, JD Raffa, LA Celi, RG Mark, O Badawi Scientific data 5 (1), 1-13, 2018	1256	2018
The artificial intelligence clinician learns optimal treatment strategies for sepsis in intensive care M Komorowski, LA Celi, O Badawi, AC Gordon, AA Faisal Nature medicine 24 (11), 1716-1720, 2018	1067	2018
Severity scoring in the critically ill: part 1—interpretation and accuracy of outcome prediction scoring systems MJ Breslow, O Badawi Chest 141 (1), 245-252, 2012	255	2012
Association between intensive care unit–acquired dysglycemia and in-hospital mortality O Badawi, MD Waite, SA Fuhrman, IH Zuckerman Critical care medicine 40 (12), 3180-3188, 2012	184	2012
Readmissions and death after ICU discharge: development and validation of two predictive models O Badawi, MJ Breslow PloS one 7 (11), e48758, 2012	138	2012
Benchmark data from more than 240,000 adults that reflect the current practice of critical care in the United States CM Lilly, IH Zuckerman, O Badawi, RR Riker Chest 140 (5), 1232-1242, 2011	138	2011
Intensive care unit–acquired hypernatremia is an independent predictor of increased mortality and length of stay MD Waite, SA Fuhrman, O Badawi, IH Zuckerman, CS Franey Journal of critical care 28 (4), 405-412, 2013	115	2013
Making Big Data Useful for Health Care: A Summary of the Inaugural MIT Critical Data Conference MITCDCOC Badawi O, Brennan T, Celi LA, Feng M, Ghassemi M, Ippolito A ... JMIR Med Inform 2 (2), e22, 2014	98*	2014
Five-year trends of critical care practice and outcomes CM Lilly, S Swami, X Liu, RR Riker, O Badawi Chest 152 (4), 723-735, 2017	96	2017
Single-dose etomidate is not associated with increased mortality in ICU patients with sepsis: analysis of a large electronic ICU database LC McPhee, O Badawi, GL Fraser, PA Lerwick, RR Riker, IH Zuckerman, ... Critical care medicine 41 (3), 774-783, 2013	94	2013
Severity scoring in the critically ill: part 2: maximizing value from outcome prediction scoring systems. MJ Breslow, O Badawi Chest 141 (2), 518-527, 2012	87	2012
Intensive care unit telemedicine in the era of big data, artificial intelligence, and computer clinical decision support systems RD Kindle, O Badawi, LA Celi, S Sturland Critical care clinics 35 (3), 483-495, 2019	78	2019
The eICU research institute-a collaboration between industry, health-care providers, and academia M McShea, R Holl, O Badawi, RR Riker, E Silfen IEEE Engineering in Medicine and Biology Magazine 29 (2), 18-25, 2010	67	2010
Thrombosis prophylaxis and mortality risk among critically ill adults CM Lilly, X Liu, O Badawi, CS Franey, IH Zuckerman Chest 146 (1), 51-57, 2014	53	2014
Temporal trends in critical care outcomes in US minority-serving hospitals J Danziger, M Ángel Armengol de la Hoz, W Li, M Komorowski, ... American journal of respiratory and critical care medicine 201 (6), 681-687, 2020	48	2020
Evaluation of ICU risk models adapted for use as continuous markers of severity of illness throughout the ICU stay O Badawi, X Liu, E Hassan, PJ Amelung, S Swami Critical care medicine 46 (3), 361-367, 2018	46	2018
eICU collaborative research database (version 2.0) T Pollard, A Johnson, J Raffa, LA Celi, O Badawi, R Mark PhysioNet 10, C2WM1R, 2019	43	2019
Using technology to prevent adverse drug events in the intensive care unit E Hassan, O Badawi, RJ Weber, H Cohen Critical care medicine 38, S97-S105, 2010	42	2010
The obesity paradox is not observed in critically ill patients on early enteral nutrition K Harris, J Zhou, X Liu, E Hassan, O Badawi Critical Care Medicine 45 (5), 828-834, 2017	33	2017
Comparative effectiveness of proton pump inhibitors vs histamine type 2 receptor blockers for preventing clinically important gastrointestinal bleeding during intensive care: a … CM Lilly, M Aljawadi, O Badawi, E Onukwugha, SE Tom, LS Magder, ... Chest 154 (3), 557-566, 2018	32	2018

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