Artificial intelligence: An eye cast towards the mental health nursing horizon

Simple item page
dc.citation.issue3
dc.citation.volume32
dc.contributor.authorWilson RL
dc.contributor.authorHiggins O
dc.contributor.authorAtem J
dc.contributor.authorDonaldson AE
dc.contributor.authorGildberg FA
dc.contributor.authorHooper M
dc.contributor.authorHopwood M
dc.contributor.authorRosado S
dc.contributor.authorSolomon B
dc.contributor.authorWard K
dc.contributor.authorWelsh B
dc.coverage.spatialAustralia
dc.date.accessioned2023-08-14T01:52:53Z
dc.date.accessioned2023-09-04T01:41:11Z
dc.date.available2023-01-30
dc.date.available2023-08-14T01:52:53Z
dc.date.available2023-09-04T01:41:11Z
dc.date.issued2023-06
dc.date.updated2023-08-13T23:46:16Z
dc.description© 2023 The Authors.en_US
dc.description.abstractThere has been an international surge towards online, digital, and telehealth mental health services, further amplified during COVID-19. Implementation and integration of technological innovations, including artificial intelligence (AI), have increased with the intention to improve clinical, governance, and administrative decision-making. Mental health nurses (MHN) should consider the ramifications of these changes and reflect on their engagement with AI. It is time for mental health nurses to demonstrate leadership in the AI mental health discourse and to meaningfully advocate that safety and inclusion of end users' of mental health service interests are prioritized. To date, very little literature exists about this topic, revealing limited engagement by MHNs overall. The aim of this article is to provide an overview of AI in the mental health context and to stimulate discussion about the rapidity and trustworthiness of AI related to the MHN profession. Despite the pace of progress, and personal life experiences with AI, a lack of MHN leadership about AI exists. MHNs have a professional obligation to advocate for access and equity in health service distribution and provision, and this applies to digital and physical domains. Trustworthiness of AI supports access and equity, and for this reason, it is of concern to MHNs. MHN advocacy and leadership are required to ensure that misogynist, racist, discriminatory biases are not favoured in the development of decisional support systems and training sets that strengthens AI algorithms. The absence of MHNs in designing technological innovation is a risk related to the adequacy of the generation of services that are beneficial for vulnerable people such as tailored, precise, and streamlined mental healthcare provision. AI developers are interested to focus on person-like solutions; however, collaborations with MHNs are required to ensure a person-centred approach for future mental healthcare is not overlooked.
dc.format.extent938-944
dc.identifierhttps://www.ncbi.nlm.nih.gov/pubmed/36715172
dc.identifier.citationWilson RL, Higgins O, Atem J, Donaldson AE, Gildberg FA, Hooper M, Hopwood M, Rosado S, Solomon B, Ward K, Welsh B. (2023). Artificial intelligence: An eye cast towards the mental health nursing horizon.. Int J Ment Health Nurs. 32. 3. (pp. 938-944).
dc.identifier.doi10.1111/inm.13121
dc.identifier.eissn1447-0349
dc.identifier.elements-typejournal-article
dc.identifier.harvestedMassey_Dark
dc.identifier.issn1445-8330
dc.identifier.urihttp://hdl.handle.net/10179/19933
dc.languageeng
dc.publisherJohn Wiley & Sons Australia Ltd
dc.relation.isPartOfInt J Ment Health Nurs
dc.rightsCC BY 4.0en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.subjectartificial intelligence
dc.subjectdecisional support systems
dc.subjectdigital health
dc.subjectmental health nursing
dc.subjecttrust
dc.subjectHumans
dc.subjectArtificial Intelligence
dc.subjectPsychiatric Nursing
dc.subjectCOVID-19
dc.subjectMental Health
dc.subjectDelivery of Health Care
dc.titleArtificial intelligence: An eye cast towards the mental health nursing horizon
dc.typeJournal article
pubs.elements-id459396
pubs.organisational-groupOther
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
459396.pdf
Size:
300.94 KB
Format:
Adobe Portable Document Format
Description:
Download
Collections
Journal Articles