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Trust and confidence of clinical staff and patients is crucial for the successful introduction of artificial intelligence (AI) in mental healthcare
  1. Alvaro Barrera1,2
  1. 1Oxford Health NHS Foundation Trust, Oxford, UK
  2. 2Department of Psychiatry, Oxford University, Oxford, UK
  1. Correspondence to Dr Alvaro Barrera, Oxford Health NHS Foundation Trust, Oxford OX3 7JX, UK; alvaro.barrera{at}psych.ox.ac.uk

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Commentary on: Higgins O, Short BL, Chalup SK, et al. Artificial intelligence (AI) and machine learning (ML) based decision support systems in mental health: an integrative review. Int J Ment Health Nurs 2023 [Epub ahead of print 6 Feb 2023]. doi: 10.1111/inm.13114.

Implications for practice and research

  • The introduction of artificial intelligence (AI)-based decision support systems (DSS) in mental healthcare is at a very early stage.

  • For DSS to be relevant and cost-effective, clinicians must participate at all stages of development, from project specification to evaluation.

Context

This integrative review1 investigates the evidence for incorporating AI-based DSS in mental healthcare as a partial solution to an escalating care demand which can lead to staff’s burnout and potentially unfinished or missed care. Rightly, the authors of this review mention wider systemic problems such as under-resourcing and staff shortages. …

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Footnotes

  • Competing interests None declared.

  • Provenance and peer review Commissioned; internally peer reviewed.