O’Brien, Cara
Duke University · Duke Medical Center · Duke University Hospital
7 papers on CoChatORCID 0000-0002-5519-7344
Most cited papers
- Verified
Minimal Impact of Implemented Early Warning Score and Best Practice Alert for Patient Deterioration*
Bedoya, A. D., Clement, M. E., Phelan, M., Steorts, R. C., O’Brien, C., & Goldstein, B. A. (2019) · Critical Care Medicine
Healthcare Technology and Patient MonitoringElectronic Health Records Systems
Cited by 162
- Verified
A framework for the oversight and local deployment of safe and high-quality prediction models
Bedoya, A. D., Economou-Zavlanos, N. J., Goldstein, B. A., Young, A., Jelovsek, J. E., O’Brien, C., Parrish, A. B., Elengold, S., Lytle, K., Balu, S., et al. (2022) · Journal of the American Medical Informatics Association
Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI
Cited by 119
- Verified
Machine learning for early detection of sepsis: an internal and temporal validation study
Bedoya, A. D., Futoma, J., Clement, M. E., Corey, K., Brajer, N., Lin, A., Simons, M. G., Gao, M., Nichols, M., Balu, S., et al. (2020) · JAMIA Open
Sepsis Diagnosis and TreatmentMachine Learning in Healthcare
Cited by 109
- Verified
Translating ethical and quality principles for the effective, safe and fair development, deployment and use of artificial intelligence technologies in healthcare
Economou-Zavlanos, N. J., Bessias, S., Cary, M. P., Bedoya, A. D., Goldstein, B. A., Jelovsek, J. E., O’Brien, C. L., Walden, N., Elmore, M., Parrish, A. B., et al. (2024) · Journal of the American Medical Informatics Association
Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI
Cited by 57
- Verified
Variability in determining sepsis time zero and bundle compliance rates for the centers for medicare and medicaid services SEP-1 measure
Rhee, C., Brown, S. R., Jones, T. M., O’Brien, C., Pande, A., Hamad, Y., Bulger, A. L., Tobin, K. A., Massaro, A. F., Anderson, D. J., et al. (2018) · Infection Control & Hospital Epidemiology
Sepsis Diagnosis and TreatmentHealthcare Quality and Management
Cited by 51
- Verified
Evaluating sepsis watch generalizability through multisite external validation of a sepsis machine learning model.
Valan, B., Prakash, A., Ratliff, W., Gao, M., Muthya, S., Thomas, A., Eaton, J. L., Gardner, M., Nichols, M., Revoir, M., et al. (2025) · npj Digital Medicine
Sepsis Diagnosis and TreatmentMachine Learning in Healthcare
Cited by 21
- Verified
The Impact of Centers for Medicare & Medicaid Services SEP-1 Core Measure Implementation on Antibacterial Utilization: A Retrospective Multicenter Longitudinal Cohort Study With Interrupted Time-Series Analysis
Anderson, D. J., Moehring, R. W., Parish, A., David, M. Z., Hsueh, K., Cressman, L., Tolomeo, P., Habrock-Bach, T., Hill, C. L., Ryan, M., et al. (2022) · Clinical Infectious Diseases
Antibiotic Use and ResistanceSepsis Diagnosis and Treatment
Cited by 19
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