Henry, Katharine E.
Johns Hopkins University · Johns Hopkins Medicine
6 papers on CoChatORCID 0000-0002-0446-9717
Most cited papers
- Verified
A targeted real-time early warning score (TREWScore) for septic shock.
Henry, K. E., Hager, D. N., Pronovost, P. J., & Saria, S. (2015) · Science Translational Medicine
Sepsis Diagnosis and TreatmentAcute Kidney Injury Research
Cited by 598
- Verified
Prospective, multi-site study of patient outcomes after implementation of the TREWS machine learning-based early warning system for sepsis
Adams, R., Henry, K. E., Sridharan, A., Soleimani, H., Zhan, A., Rawat, N., Johnson, L., Hager, D. N., Cosgrove, S. E., Markowski, A., et al. (2022) · Nature Medicine
Sepsis Diagnosis and TreatmentMachine Learning in Healthcare
Cited by 365
- Verified
Human–machine teaming is key to AI adoption: clinicians’ experiences with a deployed machine learning system
Henry, K. E., Kornfield, R., Sridharan, A., Linton, R. C., Groh, C., Wang, T., Wu, A., Mutlu, B., & Saria, S. (2022) · npj Digital Medicine
Artificial Intelligence in Healthcare and EducationElectronic Health Records Systems
Cited by 207
- Verified
Factors driving provider adoption of the TREWS machine learning-based early warning system and its effects on sepsis treatment timing
Henry, K. E., Adams, R., Parent, C., Soleimani, H., Sridharan, A., Johnson, L., Hager, D. N., Cosgrove, S. E., Markowski, A., Klein, E. Y., et al. (2022) · Nature Medicine
Sepsis Diagnosis and TreatmentElectronic Health Records Systems
Cited by 144
- Verified
Comparison of automated sepsis identification methods and electronic health record-based sepsis phenotyping: improving case identification accuracy by accounting for confounding comorbid conditions.
Henry, K. E., Hager, D. N., Osborn, T. M., Wu, A. W., & Saria, S. (2019) · Critical Care Explorations
Sepsis Diagnosis and TreatmentMachine Learning in Healthcare
Cited by 22
- Verified
1405: ASSESSING CLINICAL USE AND PERFORMANCE OF A MACHINE LEARNING SEPSIS ALERT FOR SEX AND RACIAL BIAS
Adams, R., Henry, K., Soleimani, H., Rawat, N., Saheed, M., Chen, E., Wu, A., & Saria, S. (2022) · Critical Care Medicine
Sepsis Diagnosis and TreatmentMachine Learning in Healthcare
Cited by 5
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