| 2025 |
Higgins O, Sheather-Reid RB, Chalup SK, Wilson RL, 'Sociodemographic Factors and Presentation Features of Individuals Seeking Mental Health Care in Emergency Departments: A Retrospective Cohort Study', INTERNATIONAL JOURNAL OF MENTAL HEALTH NURSING [C1]
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Open Research Newcastle |
| 2024 |
Higgins O, Chalup SK, Wilson RL, 'Machine Learning Model Reveals Determinators for Admission to Acute Mental Health Wards From Emergency Department Presentations', INTERNATIONAL JOURNAL OF MENTAL HEALTH NURSING, 33, 2354-2369 (2024) [C1]
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Open Research Newcastle |
| 2024 |
Higgins O, Chalup SK, Wilson RL, 'Artificial Intelligence in nursing: trustworthy or reliable?', JOURNAL OF RESEARCH IN NURSING, 29, 143-153 (2024) [C1]
Background: Trustworthiness in Artificial Intelligence (AI) innovation is a priority for governments, researchers and clinicians; however, clinicians have highlighted tru... [more]
Background: Trustworthiness in Artificial Intelligence (AI) innovation is a priority for governments, researchers and clinicians; however, clinicians have highlighted trust and confidence as barriers to their acceptance of AI within a clinical application. While there is a call to design and develop AI that is considered trustworthy, AI still lacks the emotional capability to facilitate the reciprocal nature of trust. Aim: This paper aims to highlight and discuss the enigma of seeking or expecting trust attributes from a machine and, secondly, reframe the interpretation of trustworthiness for AI through evaluating its reliability and validity as consistent with the use of other clinical instruments. Results: AI interventions should be described in terms of competence, reliability and validity as expected of other clinical tools where quality and safety are a priority. Nurses should be presented with treatment recommendations that describe the validity and confidence of prediction with the final decision for care made by nurses. Future research should be framed to better understand how AI is used to deliver care. Finally, there is a responsibility for developers and researchers to influence the conversation about AI and its power towards improving outcomes. Conclusion: The sole focus on demonstrating trust rather than the business-as-usual requirement for reliability and validity attributes during implementation phases may result in negative experiences for nurses and clinical users. Implications for practice: This research will have significant implications for the way in which future nursing is practised. As AI-based systems become a part of routine practice, nurses will be faced with an increasing number of interventions that require complex trust systems to operate. For any AI researchers and developers, understanding the complexity of trust and creditability in the use of AI in nursing will be crucial for successful implementation. This research will contribute and assist in understanding nurses' role in this change.
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Open Research Newcastle |
| 2024 |
Higgins O, Wilson RL, Chalup SK, 'Using machine learning to assist decision making in the assessment of mental health patients presenting to emergency departments', DIGITAL HEALTH, 10 (2024) [C1]
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Open Research Newcastle |
| 2024 |
Higgins O, Sheather-Reid RB, Chalup SK, Wilson RL, 'Disproportionate mental health presentations to emergency departments in a coastal regional community in Australia of first nation people', INTERNATIONAL JOURNAL OF MENTAL HEALTH NURSING, 33, 2063-2070 (2024) [C1]
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Open Research Newcastle |
| 2023 |
Wilson RLL, Higgins O, Atem J, Donaldson AEE, Gildberg FA, Hooper M, Hopwood M, Rosado S, Solomon B, Ward K, Welsh B, 'Artificial intelligence: An eye cast towards the mental health nursing horizon', INTERNATIONAL JOURNAL OF MENTAL HEALTH NURSING, 32, 938-944 (2023)
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Open Research Newcastle |
| 2023 |
Higgins O, Short BL, Chalup SK, Wilson RL, 'Artificial intelligence (AI) and machine learning (ML) based decision support systems in mental health: An integrative review', INTERNATIONAL JOURNAL OF MENTAL HEALTH NURSING, 32, 966-978 (2023) [C1]
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Open Research Newcastle |
| 2023 |
Higgins O, Wilson RL, 'Commercial determinants and therapeutic chatbots: A mental health nursing perspective', INTERNATIONAL JOURNAL OF MENTAL HEALTH NURSING, 32, 1509-1511 (2023)
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| 2023 |
Higgins O, Short BL, Chalup SK, Wilson RL, 'Interpretations of Innovation: The Role of Technology in Explanation Seeking Related to Psychosis', PERSPECTIVES IN PSYCHIATRIC CARE, 2023 (2023) [C1]
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Open Research Newcastle |
| 2023 |
Wilson RL, Higgins O, 'Editorial: The continued importance of mental health nurses engaging with social media and related emerging technologies', INTERNATIONAL JOURNAL OF MENTAL HEALTH NURSING, 32, 349-351 (2023)
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| 2022 |
, 'ACMHN's 46th International Mental Health Nursing Conference, Mental Health Nursing in a Climate of Change, 7-9 September 2022, JW Marriot Gold Coast Resort and Spa, Gold Coast, Australia.', International journal of mental health nursing, 31 Suppl 1, 3-62 (2022)
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| 2018 |
Coates D, Woodford P, Higgins O, Grover D, 'Evaluation of a general practitioner-led cardiometabolic clinic: Physical health profile andtreatment outcomes for clients on clozapine', INTERNATIONAL JOURNAL OF MENTAL HEALTH NURSING, 27, 303-310 (2018) [C1]
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| 2013 |
Mullen L, Higgins O, Redmayne B, Keegan L, Blinkhorn FA, Blinkhorn A, 'The Impact of Dental Disease on a sample of Aboriginal adults living in the Central Coast Region of New South Wales Australia', Social Science and Dentistry, 2, 73-79 (2013) [C2]
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Open Research Newcastle |