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
