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Conversational artificial intelligence: the interface with the patient concerns inventory.
O'Connell, J E; Gilmartin, E; Roche, D; Rogers, S N.
Afiliação
  • O'Connell JE; Oral and Maxillofacial/Head and Neck Surgeon, St James Hospital, Dublin 8, Ireland. Electronic address: Jooconnell@stjames.ie.
  • Gilmartin E; ADAPT Centre, SCSS, Trinity College Dublin, University of Dublin, Dublin 2, Ireland. Electronic address: gilmare@tcd.ie.
  • Roche D; ADAPT SCSS, Trinity College Dublin, Dublin 2, Ireland. Electronic address: roched5@tcd.ie.
  • Rogers SN; FRCS (maxfac) MD, Faculty of Health and Social Care, Edge Hill University, Ormskirk, L39 4QP, United Kingdom; Liverpool Head and Neck Centre, Liverpool University Hospital NHS Foundation Trust, Lower Lane, Liverpool, UK. Electronic address: SIMONN.ROGERS@liverpoolft.nhs.uk.
Br J Oral Maxillofac Surg ; 62(5): 391-395, 2024 Jun.
Article em En | MEDLINE | ID: mdl-38777718
ABSTRACT
The patient concerns inventory (PCI) allows patients to highlight the issues they would like to discuss at their outpatient consultation. It improves patient-clinician communication and has proven benefits. While the PCI is effective, patient experiences could be improved with better access to it and the ability to more easily and frequently express their concerns. This, of course, is in the context of ever-increasing healthcare challenges and limited resources. Use of conversational artificial intelligence (CAI) represents an opportunity to improve information flow between patients and professionals remote from the consultation. This paper highlights the potential for CAI to provide an 'always-on' platform, using natural language interface technology and based on the PCI, which patients can access via their mobile devices. We also discuss potential pitfalls and concerns, along with outlining a current clinical trial assessing, in the first instance, usability of this technology.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Comunicação Limite: Humans Idioma: En Revista: Br J Oral Maxillofac Surg Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Comunicação Limite: Humans Idioma: En Revista: Br J Oral Maxillofac Surg Ano de publicação: 2024 Tipo de documento: Article