Howell, Michael D.

Quick sepsis-related organ failure assessment, systemic inflammatory response syndrome, and early warning scores for detecting clinical deterioration in infected patients outside the intensive care unit

Churpek, M. M., Snyder, A., Han, X., Sokol, S., Pettit, N., Howell, M. D., & Edelson, D. P. (2017) · American Journal of Respiratory and Critical Care Medicine

Sepsis Diagnosis and TreatmentInflammation biomarkers and pathways

Cited by 689

The Promise of Digital Health: Then, Now, and the Future

Verily, Abernethy, A., Adams, L., National Academy of Medicine, Barrett, M., ResMed, Bechtel, C., Health, X., Brennan, P., Medicine, N. L. O., et al. (2022) · NAM Perspectives

Mobile Health and mHealth ApplicationsTechnology and Human Factors in Education and Health

Cited by 477

Identifying Infected Emergency Department Patients Admitted to the Hospital Ward at Risk of Clinical Deterioration and Intensive Care Unit Transfer

Kennedy, M., Joyce, N., Howell, M. D., Lawrence Mottley, J., & Shapiro, N. I. (2010) · Academic Emergency Medicine

Sepsis Diagnosis and TreatmentEmergency and Acute Care Studies

Cited by 63

Predicting inpatient medication orders from electronic health record data

Rough, K., Dai, A. M., Zhang, K., Xue, Y., Vardoulakis, L. M., Cui, C., Butte, A. J., Howell, M. D., & Rajkomar, A. (2020) · Clinical Pharmacology & Therapeutics

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 28