McEvoy, Dustin S

Analysis of clinical decision support system malfunctions: a case series and survey

Wright, A., Hickman, T.-T. T., McEvoy, D., Aaron, S., Ai, A., Andersen, J. M., Hussain, S., Ramoni, R., Fiskio, J., Sittig, D. F., et al. (2016) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsArtificial Intelligence in Healthcare and Education

Cited by 132

Variation in high-priority drug-drug interaction alerts across institutions and electronic health records

McEvoy, D. S., Sittig, D. F., Hickman, T.-T., Aaron, S., Ai, A., Amato, M., Bauer, D. W., Fraser, G. M., Harper, J., Kennemer, A., et al. (2017) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsPharmaceutical Practices and Patient Outcomes

Cited by 75

Structured override reasons for drug-drug interaction alerts in electronic health records

Wright, A., McEvoy, D. S., Aaron, S., McCoy, A. B., Amato, M. G., Kim, H., Ai, A., Cimino, J. J., Desai, B. R., El-Kareh, R., et al. (2019) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsPharmaceutical Practices and Patient Outcomes

Cited by 61

Early identification of patients admitted to hospital for covid-19 at risk of clinical deterioration: model development and multisite external validation study

Kamran, F., Tang, S., Otles, E., McEvoy, D. S., Saleh, S. N., Gong, J., Li, B. Y., Dutta, S., Liu, X., Medford, R. J., et al. (2022) · BMJ

Machine Learning in HealthcareCOVID-19 Clinical Research Studies

Cited by 60

Using statistical anomaly detection models to find clinical decision support malfunctions

Ray, S., McEvoy, D. S., Aaron, S., Hickman, T.-T., & Wright, A. (2018) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsAnomaly Detection Techniques and Applications

Cited by 44

Cranky comments: detecting clinical decision support malfunctions through free-text override reasons

Aaron, S., McEvoy, D. S., Ray, S., Hickman, T.-T. T., & Wright, A. (2019) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsArtificial Intelligence in Healthcare and Education

Cited by 41

Prospective External Validation of a Commercial Model Predicting the Likelihood of Inpatient Admission From the Emergency Department

Dadabhoy, F. Z., Driver, L., McEvoy, D. S., Stevens, R., Rubins, D., & Dutta, S. (2023) · Annals of Emergency Medicine

Emergency and Acute Care StudiesMachine Learning in Healthcare

Cited by 10