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C2.2 Electronic Health Record Data Predicts Readmission for Suicide Attempt

Tracks
Track 2
Tuesday, June 11, 2024
10:30 AM - 10:40 AM
210

Overview

Presented By: Dr. Zachary Kaminsky


Details

By the end of this session, participants will be able to: 1.) Explain the uses and limitations of suicide attempt prediction 2.) Identify the efficacy of artificial intelligence for suicide attempt prediction using electronic health record data 3.) Describe novel methods to leverage prediction algorithms to inform clinical decisions


Speaker

Dr. Zachary Kaminsky
Chair Of Suicide Prevention Research
The University Of Ottawa Institute Of Mental Health Research

C2 - Predicting Clinical Outcomes and Improving Drug Therapy

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