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Emily
E.
Haroz
,
PhD

Associate Professor

Departmental Affiliations

Primary
Division
Social and Behavioral Interventions

Center & Institute Affiliations

Emily E. Haroz, PhD ’15, MHS ’11, MA, researches the implementation of mental health and suicide prevention programs, particularly in partnership with Indigenous communities.

Contact Info

Research Interests

Suicide Prevention; American Indian Health; Artificial Intelligence; Dissemination and Implementation Science; Global Mental Health

Experiences & Accomplishments
Education
PhD
Johns Hopkins Bloomberg School of Public Health
2015
MHS
Johns Hopkins Bloomberg School of Public Health
2011
MA
Columbia University
2009
BA
University of Puget Sound
2004
Overview

My research focuses on mental health services for low-resource and underserved populations. My training is in psychiatric epidemiology, including a background in advanced methodological approaches and study design. My current work focuses on suicide prevention by leveraging artificial intelligence and implementation science to better serve communities that face significant related disparities.

Select Publications

My research primarily focuses on suicide prevention, implementation science, and the translation of artificial intelligence to improve mental health services and care. Here are a couple of examples of my work:

  • Haroz, E. E., Goklish, N., Walsh, C. G., Cwik, M., O’Keefe, V. M., Larzelere, F., ... & Barlow, A. (2023). Evaluation of the risk identification for suicide and enhanced care model in a Native American community. JAMA psychiatry.

  • Haroz, EE, Walsh CG, Goklish, N, Cwik, M, O’Keefe, V, & Barlow, A. (2020) Reaching those at highest suicide risk in Native American settings using machine learning approaches. Journal of Suicide and Life-Threatening Behavior. DOI:10.1111/sltb.12598

  • Haroz, E. E., Grubin, F., Goklish, N., Pioche, S., Cwik, M., Barlow, A., Waugh, E., Usher, J., Lenert, M. C., & Walsh, C. G. (2021). Designing a Clinical Decision Support Tool That Leverages Machine Learning for Suicide Risk Prediction: Development Study in Partnership With Native American Care Providers. JMIR public health and surveillance, 7(9), e24377. https://doi.org/10.2196/24377

  • Haroz, E. E., Kitchen, C., Nestadt, P. S., Wilcox, H. C., DeVylder, J. E., & Kharrazi, H. (2021). Comparing the predictive value of suicide risk screening to the detection of suicide risk using electronic health records in an urban pediatric emergency department. Suicide and Life-Threatening Behavior, 00, 1– 14. https://doi.org/10.1111/sltb.12800

  • Haroz, E. E., Sarapik, L. M., Adams, L. B., Nestadt, P. S., Athey, A., Alvarez, K., ... & Wilcox, H. C. (2023). A Cascade of Care Model for Suicide Prevention. American journal of preventive medicine64(4), 599-603.

  • Haroz, EE, Bolton, P, Nguyen, A J, Lee, C, Bogdanov, S, Bass, J, ... & Murray, L. (2019). Measuring implementation in global mental health: validation of a pragmatic implementation science measure in eastern Ukraine using an experimental vignette design. BMC health services research, 19(1), 262.

Projects
NATIVE-RISE-Risk Identification for Suicide and Enhanced care for Native Americans; National Institute of Mental Health; 1R01MH128518-01
Family Spirit Strengths: A home visiting strategy to support parents and caregivers with mental distress and substance misuse; National Institute of Drug Abuse; 1R01DA057913-01
Reclaiming Indigenous Children’s Futures through Home-Visiting and Intergenerational Playspaces; Lego Foundation
Creating better systems to care for adolescents at risk of suicide; Johns Hopkins-Kaiser Permanente Research Collaboration Program