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Juliet Beni Edgcomb, MD, PhD

(she/her)
  • Psychiatry|
  • Child and Adolescent Psychiatry

About

Juliet Beni Edgcomb, MD PhD, is the Associate Director of the Semel Institute for Mental Health Informatics and Data Science (MINDS) Hub and an Assistant Professor-in-Residence in the Department of Psychiatry, Division of Child and Adolescent Psychiatry, in the David Geffen School of Medicine at UCLA. She is a child psychiatrist, physician informaticist, and health services researcher. Dr. Edgcomb has expertise in providing psychiatric care for adults and children with mental health conditions, as well as research experience in using clinical data to inform precision approaches to youth mental health. Her research focus builds upon a PhD in Social Psychology with an area of specialization in quantitative methods and computational modeling of patient-centered research outcomes, followed by postdoctoral training in child mental health intervention research methods. As Principal Investigator she has led studies supported by the American Foundation for Suicide Prevention, Brain and Behavior Research Foundation, American Psychiatric Association, and Thrasher Research Fund. She spearheads a study supported by the Foundation for the National Institute of Health (FNIH) Deeda Blair Research Initiative to develop weakly supervised and deep learning approaches to detect signals of childhood-onset depression and psychosis in medical records. Her passion is to narrow the research-to-practice gap between clinical informatics and child mental health care, and, in turn, improve the lives of young people with mental illness.

Download Dr. Edgcomb's CV (Link opens in new window)

Languages

English

Education

Medical Board Certifications

Clinical Informatics, American Board of Preventive Medicine, 2024
Child & Adolescent Psychiatry, American Board of Psychiatry and Neurology, 2022
Psychiatry, American Board of Psychiatry and Neurology, 2020

Fellowship

Child and Adolescent Psychiatry, UCLA Semel Institute for Neuroscience & Human Behavior, 2023

Residency

Psychiatry, UCLA Semel Institute for Neuroscience & Human Behavior, 2020

Degrees

MD, David Geffen School of Medicine at UCLA, 2016
PhD, University of California Riverside, 2012

Recognitions

  • 21st Century Psychiatry Prize (research paper award), Hatos Foundation, 2023
  • Alex Rogawski Memorial Prize (research paper award), Hatos Foundation, 2023
  • Distinguished Paper Award, American Medical Informatics Association, Informatics Summit, 2023
  • See More

Hospital Affiliations

Ronald Reagan UCLA Medical Center

UCLA Mattel Children's Hospital

Research

Publications

Research Papers, peer reviewed

  1. Beni, J., (2011) Technology and the health care system: Implications for patient adherence.  International Journal of Electronic Healthcare. 6(2-4): 117-137. doi:10.1504/IJEH.2011.044345.
  2. Edgcomb, J.B., Tseng, C., Kerner, B., (2016) Medically unexplained somatic symptoms and bipolar spectrum disorders: A systematic review and meta-analysis. Journal of Affective Disorders. 204: 205–213. doi:10.1016/j.jad.2016.06.029.
  3. Edgcomb, J.B., Kerner, B., (2018) Predictors and outcomes of somatization in bipolar I disorder: A latent class mixture modeling approach. Journal of Affective Disorders. 227: 681-687. doi: 10.1016/j.jad.2017.11.083.
  4. Edgcomb, J.B., Zima, B.T., (2018) Medication adherence amongst children and adolescents with severe mental illness: A systematic review and meta-analysis. Journal of Child and Adolescent Psychopharmacology. 28(8): 508-520. doi:10.1089/cap.2018.0040
  5. Zima, B.T., Edgcomb, J.B., Shugarman, S., (2019) National Child Mental Health Quality Measures: Adherence rates and extent of evidence for clinical validity. Current Psychiatry Reports. 21(1):6. doi:10.1007/s11920-019-0986-3
  6. Edgcomb, J.B., Zima, B.T., (2019) Machine learning, natural language processing, and the electronic health record: Innovations in mental health services research. Psychiatric Services. 70(4):346-349 doi:10.1176/appi.ps.201800401
  7. Edgcomb, J.B., Shaddox, T., Hellemann, G., Brooks, J.O., III., (2019) High-risk phenotypes of early psychiatric readmission in bipolar disorder with comorbid medical illness. Psychosomatics. 60(6): 563-573. doi:10.1016/j.psym.2019.05.002
  8. Edgcomb, J.B., Sorter, M., Lorberg, B., Zima, B.T., (2020) Systematic review and meta-analysis: Psychiatric hospital readmission of children and adolescents. Psychiatric Services. 71(3): 269-279. doi:10.1176/appi.ps.201900234
  9. Varigonda, A., Edgcomb, J.B., Zima, B.T., (2020) Exercise to improve executive function among youth with neurocognitive disorders: A systematic review and meta-analysis. Archives of Clinical Psychiatry. 47(5): 146-156. doi:10.1590/0101-60830000000251.
  10. Benson, N., Edgcomb, J.B., Landman, A.B., Zima, B.T., (2020) Bridging clinical informatics and pediatric mental health. Journal of the American Academy of Child and Adolescent Psychiatry. 59(12): 1314-1317.

 

In the News

  1. The youngest person to earn a Ph.D. at the University of California Riverside, age 19(Link is external) (Link opens in new window) (Source: Women in Academia)
  2. Electronic Health Record Phenotyping for Cohort Discovery of New-onset Suicidality in Youth(Link is external) (Link opens in new window) (Source: American Foundation for Suicide Prevention)
  3. How has emergency department use for children's mental health changed during the COVID-19 pandemic?(Link is external) (Link opens in new window) (Source: EurekAlert! AAAS)
  4. Assess outcomes meaningful to patients to improve care equity and quality(Link is external) (Link opens in new window) (Source: Progress in Mind. Psychiatry and Neurology Resource Center)
  5. Interoperability, transparency, validation inform care in computational psychiatry(Link is external) (Link opens in new window) (Source: Healio Psychiatry).
  6. Use of acute mental health care in U.S. Children’s hospitals before and after statewide COVID-19 school closure orders – paper in the top 5% of all research outputs scored by Altmetric(Link is external) (Link opens in new window) (Source: American Psychiatric Association Publishing)
  7. Researchers develop machine learning models that could improve suicide-risk prediction among children (Source: UCLA Health News
  8. Assessing detection of children with suicide-related emergencies: Evaluation and development of computable phenotyping approaches – paper in the top 5% of all research outputs scored by Altmetric(Link is external) (Link opens in new window) (Source: Altmetric/JMIR Mental Health)
  9. Youths with suicide- and self injury-related emergencies are often missed by standard hospital identification methods(Link is external) (Link opens in new window) (Source: Brain and Behavior Research Foundation eNews)

Insurance

  • Aetna
  • Anthem Blue Cross
  • Blue Shield of California
  • Centivo
  • Cigna
  • First Health
  • Health Net of California
  • Interplan (part of HealthSmart)
  • L.A. Care
  • Medicare Advantage
  • MultiPlan
  • UFCM Health System
  • Prime Health Services
  • Private Healthcare Systems (PHCS)
  • TRICARE
  • UnitedHealthcare

The list of health care plans above may not be comprehensive and could change. 
Please contact your benefits coordinator or health insurance company directly to verify coverage.

Visit our health insurance information page for more details.

Recognitions

  • 21st Century Psychiatry Prize (research paper award), Hatos Foundation, 2023
  • Alex Rogawski Memorial Prize (research paper award), Hatos Foundation, 2023
  • Distinguished Paper Award, American Medical Informatics Association, Informatics Summit, 2023
  • Deeda Blair Research Initiative Award. Foundation for the National Institute of Health, 2023
  • Ritvo Fellow Award, UCLA Department of Psychiatry & Biobehavioral Sciences, 2022
  • Steven, Sally, and Isabel Grimes Investigator, Research Partners Program. Brain and Behavior Research Foundation, 2020-2021

Links