#  Machine Learning to Predict Inpatient Deterioration and Alert Clinicians: From Raw Data to Clinical Implementation 

 



####  calendar\_today Date and Time 

 **March 3, 2020** 

 12:00PM - 01:00PM EST 

####  pin\_drop Location 

 **Countway Medical Library, 4th Floor, Room 424, Harvard Medical School**  



 

 



 

 One of our RCC fellows, Santiago Romero-Brufau, MD PhD, will give the Clinical Informatics Lecture at the Harvard Medical School. He will present some of his previous work at Mayo Clinic developing and implementing a machine-learning model. The model predicts deterioration in hospitalized patients and sends an alert to physicians and nurses, and it achieved a significant reduction in the time to response, which is associated with a reduction in mortality risk.

 ![hms_informatics_lecture.png](/sites/g/files/omnuum986/files/rcc/files/hms_informatics_lecture.png)

 

 **Speaker:** Santiago Romero-Brufau. Master’s of Science in Health Data Science Candidate at the Harvard T.H. Chan School of Public Health; Assistant Professor in Medicine and in Healthcare Systems Engineering at Mayo Clinic.

 **Sponsors:** Harvard Clinical Informatics Lecture Series, Harvard Medical School.



 

 



 

 

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