Cara O’Brien - Concepedia

Author

Cara O’Brien

Also Known As

C O'Brien, Cara L O'Brien, Cara L O’Brien, Cara L. O'Brien, Cara L. O’Brien, Cara O'Brien, Cara O'brien, Cara OBrien, Cara O’Brien, Colleen O'Brien

Publications

2.2K

Citations

H-Index

Concepts

All Affiliations

Duke University Duke Institute for Health Innovation Harvard University Washington University in St. Louis Clinical Research Institute

About

Cara O’Brien is an author at Duke University specializing in health informatics, medicine, and emergency medicine.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	5	5	363
2	Engineering	3	3	179
3	Education	1	1	22
4	Humanities	1	1	162
5	Nursing	1	1	93

Cara O’Brien

Publications

Citations

H-Index

Page 1

	Year	Citations
Prevalence, Underlying Causes, and Preventability of Sepsis-Associated Mortality in US Acute Care Hospitals Chanu Rhee, Travis Jones, Yasir Hamad, JAMA Network Open	2019	560
Real-World Integration of a Sepsis Deep Learning Technology Into Routine Clinical Care: Implementation Study Mark Sendak, William Ratliff, Dina Sarro, JMIR Medical Informatics	2019	197
"The human body is a black box" Mark Sendak, Madeleine Clare Elish, Michael Gao, Machine LearningMachine Learning ToolHuman ConditionMachine Learning TechnologiesMedical Expert System	2020	162
Minimal Impact of Implemented Early Warning Score and Best Practice Alert for Patient Deterioration* Armando Bedoya, Meredith E. Clement, Matthew Phelan, Critical Care Medicine	2018	153
Costs and Effectiveness of Ximelagatran for Stroke Prophylaxis in Chronic Atrial Fibrillation Cara O’Brien JAMA	2005	151
Integrating a Machine Learning System Into Clinical Workflows: Qualitative Study Sahil Sandhu, Anthony Lin, Nathan Brajer, Journal of Medical Internet Research	2020	141
Compliance With the National SEP-1 Quality Measure and Association With Sepsis Outcomes: A Multicenter Retrospective Cohort Study* Chanu Rhee, Michael R. Filbin, Anthony F. Massaro, Critical Care Medicine	2018	125
Machine learning for early detection of sepsis: an internal and temporal validation study Armando Bedoya, Joseph Futoma, Meredith E. Clement, JAMIA Open	2020	99
A framework for the oversight and local deployment of safe and high-quality prediction models Armando Bedoya, Nicoleta Economou-Zavlanos, Benjamin A. Goldstein, Journal of the American Medical Informatics Association Healthcare Monitoring SystemsEngineeringRisk Model ValidationRisk AnalysisLocal Deployment	2022	93
An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection Joseph Futoma, Sanjay Hariharan, Mark Sendak, arXiv (Cornell University) EngineeringMachine LearningDiagnosisRecurrent Neural NetworkData Science	2017	75

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