Name
#182 - Integration of Multi-Modal Electronic Medical Records Data To Predict Suicide-Related Events Risk Among Patient Diagnosed With Post-Traumatic Stress Disorder
Date & Time
Tuesday, February 13, 2024, 12:00 PM
Description
This study assessed biomarkers using DeepBiomarker3 against a large managed care EMR dataset to determine predictors for risk of suicide-related events among patients diagnosed with PTSD (including more than 8,000 identified Veterans). Complete abstract emailed to Ms. Lawrence's email (listed in abstract submission portal)
Location Name
Prince Georges Exhibit Hall A/B
Content Presented on Behalf of
Other entity not listed
Learning Outcomes
1.Identify how DeepBiomarker3 differentiated risk of SREs for Veterans when compared to non-Veteran patients and SDoH<br />
2.Understand how contribution analysis, using VA/DoD PTSD Clinical Practice Guidelines, differentiated Veteran from non-Veteran patients<br />
3.Identify medical and psychiatric conditions that place patients at greater risk for SREs; and how unspecified conditions and post-operative examinations served as protective factors<br />
4.Recognize medications study found were protective factors in reducing SREs among patient diagnosed with PTSD
2.Understand how contribution analysis, using VA/DoD PTSD Clinical Practice Guidelines, differentiated Veteran from non-Veteran patients<br />
3.Identify medical and psychiatric conditions that place patients at greater risk for SREs; and how unspecified conditions and post-operative examinations served as protective factors<br />
4.Recognize medications study found were protective factors in reducing SREs among patient diagnosed with PTSD
Session Type
Posters