Sean Barnes
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Machine-learning-based electronic triage more accurately differentiates patients with respect to clinical outcomes compared with the emergency severity index
S Levin, M Toerper, E Hamrock, JS Hinson, S Barnes, H Gardner, ...
Annals of emergency medicine 71 (5), 565-574. e2, 2018
Real-time prediction of inpatient length of stay for discharge prioritization
S Barnes, E Hamrock, M Toerper, S Siddiqui, S Levin
Journal of the American Medical Informatics Association 23 (e1), e2-e10, 2016
Preventing the transmission of multidrug-resistant organisms: modeling the relative importance of hand hygiene and environmental cleaning interventions
SL Barnes, DJ Morgan, AD Harris, PC Carling, KA Thom
Infection Control & Hospital Epidemiology 35 (9), 1156-1162, 2014
Applications of agent-based modeling and simulation to healthcare operations management
S Barnes, B Golden, S Price
Handbook of healthcare operations management, 45-74, 2013
Contribution of Interfacility Patient Movement to Overall Methicillin-Resistant Staphylococcus aureus Prevalence Levels
SL Barnes, AD Harris, BL Golden, EA Wasil, JP Furuno
Infection control and hospital epidemiology 32 (11), 1073-1078, 2011
Applying queueing theory to the study of emergency department operations: a survey and a discussion of comparable simulation studies
X Hu, S Barnes, B Golden
International transactions in operational research 25 (1), 7-49, 2018
MRSA Transmission Reduction Using Agent-Based Modeling and Simulation
S Barnes, B Golden, E Wasil
INFORMS Journal on Computing 22 (4), 635-646, 2010
Critical care capacity in Haiti: a nationwide cross-sectional survey
LI Losonczy, SL Barnes, S Liu, SR Williams, MT McCurdy, V Lemos, ...
PloS one 14 (6), e0218141, 2019
A dynamic patient network model of hospital-acquired infections
S Barnes, B Golden, E Wasil
Winter Simulation Conference (WSC), Proceedings of the 2010, 2249-2260, 2010
Deconstructing the relative benefits of a universal glove and gown intervention on MRSA acquisition
AD Harris, DJ Morgan, L Pineles, EN Perencevich, SL Barnes
Journal of Hospital Infection 96 (1), 49-53, 2017
The impact of reducing antibiotics on the transmission of multidrug-resistant organisms
SL Barnes, C Rock, AD Harris, SE Cosgrove, DJ Morgan, KA Thom
infection control & hospital epidemiology 38 (6), 663-669, 2017
Readmission risk trajectories for patients with heart failure using a dynamic prediction approach: retrospective study
W Jiang, S Siddiqui, S Barnes, LA Barouch, F Korley, DA Martinez, ...
JMIR medical informatics 7 (4), 2019
An Application of Factorial Design to Compare the Relative Effectiveness of Hospital Infection Control Measures
S Jain, RR Creasey, J Himmelspach, KP White, M Fu
Winter Simulation Conference, 2011
Early detection of bioterrorism: monitoring disease using an agent-based model
S Hu, S Barnes, B Golden
Proceedings of the Winter Simulation Conference 2014, 310-321, 2014
Exploring the effects of network structure and healthcare worker behavior on the transmission of hospital-acquired infections
S Barnes, B Golden, E Wasil
IIE Transactions on Healthcare Systems Engineering 2 (4), 259-273, 2012
Great expectations: An analysis of major league baseball free agent performance
SL Barnes, MV Bjarnadóttir
Statistical Analysis and Data Mining: The ASA Data Science Journal 9 (5 …, 2016
Lognormal-based mixture models for robust fitting of hospital length of stay distributions
X Zhang, S Barnes, B Golden, M Myers, P Smith
Operations Research for Health Care 22, 100184, 2019
Machine-learning-based hospital discharge predictions can support multidisciplinary rounds and decrease hospital length-of-stay
S Levin, S Barnes, M Toerper, A Debraine, A DeAngelo, E Hamrock, ...
BMJ Innovations 7 (2), 2021
Modeling infectious diseases in healthcare network (MIND-Healthcare) framework for describing and reporting multidrug-resistant organism and healthcare-associated infections …
RB Slayton, JJ O’Hagan, S Barnes, S Rhea, R Hilscher, M Rubin, ...
Clinical Infectious Diseases 71 (9), 2527-2532, 2020
Intelligent selection of frequent emergency department patients for case management: A machine learning framework based on claims data
X Hu, S Barnes, M Bjarnadóttir, B Golden
IISE Transactions on Healthcare Systems Engineering 7 (3), 130-143, 2017
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