Although hallucinations are prevalent in psychiatric disorders, such as psychosis or dementia, no studies were to be found in literature about the nursing process addressing the focus "Hallucination". This literature review, which is integrated with a scoping study framework, was performed to determine a clinical data model addressing the focus "Hallucination". PRISMA checklist for scoping reviews was followed. From the total of 328 papers found, 32 were selected. The findings of this review were summarized according to the nursing process addressing the focus "Hallucination". These findings led to determine a clinical data model addressing the focus "Hallucination", comprising the elements of the nursing process. This clinical data model may contribute toward improving nursing decision-making and nursing care quality in relation to a client suffering from hallucination, as well as contribute toward producing more reliable nursing-sensitive indicators.
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http://dx.doi.org/10.1177/1054773819877534 | DOI Listing |
Am J Psychother
December 2024
Department of Psychiatry and Addictology, Faculty of Medicine, Université de Montréal, Montreal (Hudon, Quilliam, Potvin, Dumais); Services et Recherches Psychiatriques AD, Montreal (Phraxayavong).
Objective: Despite the efficacy of current therapies, a significant proportion of patients with schizophrenia, a complex mental disorder marked by both positive (present) and negative (absent) symptoms, are considered to have treatment-resistant schizophrenia. Avatar therapy (AT) allows patients to interact with a three-dimensional representation of their most distressing voices in a virtual reality setting. The therapy shows promise in reducing impairments and improving quality of life through the establishment of a therapeutic alliance and the exploration of dyadic interactions (verbal exchanges) between patients and their avatar.
View Article and Find Full Text PDFPLoS One
October 2024
Yantai Institute of Technology, Yantai, China.
Large language models (LLMs) have recently exhibited significant capabilities in various English NLP tasks. However, their performance in Chinese grammatical error correction (CGEC) remains unexplored. This study evaluates the abilities of state-of-the-art LLMs in correcting learner Chinese errors from a corpus linguistic perspective.
View Article and Find Full Text PDFBiol Psychiatry
January 2025
Department of Psychiatry, McGill University, Montreal, Quebec, Canada.
The mechanisms of psychotic symptoms such as hallucinations and delusions are often investigated in fully formed illness, well after symptoms emerge. These investigations have yielded key insights but are not well positioned to reveal the dynamic forces underlying symptom formation itself. Understanding symptom development over time would allow us to identify steps in the pathophysiological process leading to psychosis, shifting the focus of psychiatric intervention from symptom alleviation to prevention.
View Article and Find Full Text PDFPLoS One
August 2024
Department of Intensive Care, Hôpital Universitaire de Bruxelles (HUB), Brussels, Belgium.
Natural Language Processing (NLP) is a subset of artificial intelligence that enables machines to understand and respond to human language through Large Language Models (LLMs)‥ These models have diverse applications in fields such as medical research, scientific writing, and publishing, but concerns such as hallucination, ethical issues, bias, and cybersecurity need to be addressed. To understand the scientific community's understanding and perspective on the role of Artificial Intelligence (AI) in research and authorship, a survey was designed for corresponding authors in top medical journals. An online survey was conducted from July 13th, 2023, to September 1st, 2023, using the SurveyMonkey web instrument, and the population of interest were corresponding authors who published in 2022 in the 15 highest-impact medical journals, as ranked by the Journal Citation Report.
View Article and Find Full Text PDFPLOS Digit Health
May 2024
Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America.
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