Three Flavorings for a Soup to Cure what Ails Mental Health Services

Details

• Alternative Title:
  Adm Policy Ment Health
• Personal Author:
  Brown, C Hendricks
• Description:
  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.
• Subjects:
  Artificial Intelligence Diffusion Of Innovation Empathy Health Services Research Humans Mental Health Services Precision Medicine Quality Improvement Randomized Controlled Trials As Topic
• Keywords:
  Artificial Intelligence Implementation Trials Machine Learning Mental Health Services N-of-1 Designs Personalized Interventions Scaling Down Scaling Out Scaling Up
• Source:
  Adm Policy Ment Health. 47(5):844-851
• Pubmed ID:
  32715431
• Pubmed Central ID:
  PMC9462452
• Document Type:
  Journal Article
• Funding:
  R34 DA037516/DA/NIDA NIH HHSUnited States/ ; R01 MH124718/MH/NIMH NIH HHSUnited States/ ; R01MH117598/MH/NIMH NIH HHSUnited States/ ; P30DA027828/DA/NIDA NIH HHSUnited States/ ; R01 MH040859/MH/NIMH NIH HHSUnited States/ ; R01 MH117598/MH/NIMH NIH HHSUnited States/ ; P30 DA027828/DA/NIDA NIH HHSUnited States/ ; UL1TR001422/TR/NCATS NIH HHSUnited States/ ; U01 CE002712/CE/NCIPC CDC HHSUnited States/
• Volume:
  47
• Issue:
  5
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha-512:7ba7f9fc4e067cf0c5d5028828abdab798a970d117b6ae04a126d6629b7a016bf186019d95c7b36d414378fbf1c717e666b1e948029d98bad1693b54bcbc3e70
• Download URL:
  https://stacks.cdc.gov/view/cdc/121086/cdc_121086_DS1.pdf
• File Type:
  [PDF - 73.60 KB ]