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X-WR-CALNAME;VALUE=TEXT:Machine Learning to Predict Inpatient Deterioration and Alert Clinicians: From Raw Data to Clinical Implementation
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UID:event_1285271_0
SUMMARY:Machine Learning to Predict Inpatient Deterioration and Alert Clinicians: From Raw Data to Clinical Implementation
DESCRIPTION:<p>	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.</p><p style="text-align: center;">	<drupal-media data-entity-type="media" data-entity-uuid="b6c97056-230b-4ce7-b0c3-563db79756df"></drupal-media></p><p>	<strong>Speaker: </strong>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.</p><p>	<strong>Sponsors:</strong> Harvard Clinical Informatics Lecture Series, Harvard Medical School. </p>
LOCATION:Countway Medical Library, 4th Floor, Room 424, Harvard Medical School 
STATUS:CONFIRMED
DTSTART:20200303T170000Z
DTEND:20200303T180000Z
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