Cited by 184Digital Mental Health InterventionsPsychotherapy Techniques and ApplicationsPsychiatric care and mental health services

The DOI matches its Crossref record; 355 of the 356 references it cites were found in a registry or an index.

Improving Mental Health Services: A 50-Year Journey from Randomized Experiments to Artificial Intelligence and Precision Mental Health

Open access
Bickman, Leonard·2020·Administration and Policy in Mental Health and Mental Health Services Research

Abstract

This conceptual paper describes the current state of mental health services, identifies critical problems, and suggests how to solve them. I focus on the potential contributions of artificial intelligence and precision mental health to improving mental health services. Toward that end, I draw upon my own research, which has changed over the last half century, to highlight the need to transform the way we conduct mental health services research. I identify exemplars from the emerging literature on artificial intelligence and precision approaches to treatment in which there is an attempt to personalize or fit the treatment to the client in order to produce more effective interventions.

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Research works printed but not linked: 12

  1. Bickman, L. (1995). The Fort Bragg demonstration project: A managed continuum of care. The Child, Youth, and Family Services Quarterly,18(3), 2–5.
  2. Bickman, L., & Athay, M. I., (Eds.) (2012). Youth Mental Health Measurement (special issue) Administration and Policy in Mental Health and Mental Health Services Research, 39,1-2. ISSN: 0894-587X (Print) 1573-3289 (Online) · DOI
  3. Bickman, L., & Rog, D. (Eds.). (2016). The evaluation handbook: An evaluator’s companion. New York: Guilford Press.
  4. Heflinger, C. A., & Bickman, L. (1996). Family empowerment: A theoretically driven intervention and evaluation. In C. A. Heflinger & C. Nixon (Eds.), Families and mental health services for children and adolescents (pp. 96–116). Thousand Oaks: Sage.
  5. Institute of Medicine. (2007). IOM Roundtable on evidence-based medicine: The learning healthcare system: Workshop summary. Washington, DC: National Academies Press.
  6. King, R., & Bickman, L. (2017). Is there a future for therapists? Administration and Policy in Mental Health and Mental Health Services Research,44(5), 595–597. https://doi.org/10.1007/s10488-017-0814-1. · DOI
  7. Kohler, S. (2018). Precision medicine: Moving away from one-size-fits-all. Quest: Science for South Africa, 14(3). Academy of Science of South Africa (ASSAf)). Available at https://hdl.handle.net/20.500.11911/103
  8. Riemer, M., & Bickman, L. (2011). Using program theory to link social psychology and program evaluation. In M. M. Mark, S. I. Donaldson, & B. Campbell (Eds.), Social Psychology and Program/Policy Evaluation. New York: Guilford.
  9. Stroul, B. A., & Friedman, R. (1986). A system of care for children and youth with severe emotional disturbances (Rev ed.). Washington, DC: CASSP Technical Assistance Center, Georgetown University Child Development Center.
  10. Tan, J., Rollins, C. P. E., Israel, S., & Benrimoh, D. (2019). Primed for psychiatry: The role of artificial intelligence and machine learning in the optimization of depression treatment. University of Toronto Medical Journal,96(1), 43–47.
  11. An understanding of AI’s limitations is starting to sink in. (2020). Technology Quarterly: Artificial Intelligence and Its Limits, The Economist.
  12. Vinge, V. (1993). How to survive in the post-human era. In Interdisciplinary Science and Engineering in the Era of Cyberspace, Proceedings of the VISION-21 Symposium. NASA Conference Proceeding 10129. https://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/19940022855.pdf

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Metadata

Authors
Bickman, L.
Affiliations
Florida International University (US)
Corresponding author
Bickman, Leonard
Venue
Administration and Policy in Mental Health and Mental Health Services Research
Published
2020-07-26
Volume
47
Issue
5
Pages
795-843
ISSN
  • 0894-587X (ISSN-L)
  • 1573-3289
OpenAlex
W3045482196
Cited by
184
References
353
Citations by year
2026: 23 · 2025: 48 · 2024: 36 · 2023: 30 · 2022: 27 · 2021: 14 · 2020: 6
FWCI
17.40
Type
journal article
Language
en
Open access
Locations
  • Administration and Policy in Mental Health and Mental Health Services Research (publishedVersion, cc-by)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Institutes of Health
  • Johns Hopkins Bloomberg School of Public Health
Topics
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
  • Social Sciences › Psychology › Clinical Psychology › Psychotherapy Techniques and Applications
  • Social Sciences › Psychology › Clinical Psychology › Psychiatric care and mental health services
Keywords
mental health services, artificial intelligence, precision mental health, personalized treatment, mental health services research, treatment effectiveness
MeSH terms
Artificial Intelligence, Health Services Research, Humans, Mental Health Services, Randomized Controlled Trials as Topic, Precision Medicine

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