Abstract
With new tools from artificial intelligence and new perspectives on personalizing interventions, we could revolutionize the way mental health services are delivered and achieve major gains in improving the public’s mental health. We examine Dr. Bickman’s vision around these technological and paradigm changes that would usher in major scientific, workforce training, and societal cultural changes. We argue that additional efforts in research evaluations in implementation have the potential to scale up and adapt existing interventions and scale them out to diverse populations and service systems. The next stage of this work involves testing the effectiveness of personalized interventions that are preferred by the public and integrating these choices into sustainable service systems. We note cautions on the delivery of these programs as automated algorithmic recommendations are heretofore foreign to humans.
Original language | English (US) |
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Pages (from-to) | 844-851 |
Number of pages | 8 |
Journal | Administration and Policy in Mental Health and Mental Health Services Research |
Volume | 47 |
Issue number | 5 |
DOIs |
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State | Published - Sep 1 2020 |
Keywords
- Artificial intelligence
- Implementation trials
- Machine learning
- Mental health services
- N-of-1 designs
- Personalized interventions
- Scaling down
- Scaling out
- Scaling up
ASJC Scopus subject areas
- Phychiatric Mental Health
- Health Policy
- Public Health, Environmental and Occupational Health
- Psychiatry and Mental health