The impact of cultural embeddedness on the implementation of an artificial intelligence program at triage: a qualitative study
Abstract
INTRODUCTION: Triage requires rapid determination of acuity and resources. Current modalities allow for individual judgment, with varied application of algorithmic rules. Although artificial intelligence can improve triage accuracy, gaps remain in understanding implementation facilitators and barriers, especially those related to the cultural understandings by nurses of emergency department presentations. The purpose of this study was to explore the cultural and technological elements of the implementation of an artificial intelligence clinical decision support aid (i.e., KATE) in an emergency nursing triage process in an urban community hospital on the West Coast of the United States. METHOD: An exploratory qualitative study using semi-structured small group and individual interviews and constant comparison analysis strategies. The sample comprised 13 emergency department triage nurses at one site. Campinha-Bacote's theory of cultural competence framed the study. RESULTS: . Participants reported reliance on clinical experience and cultural knowledge to assign acuity. DISCUSSION: The implementation of an artificial intelligence program was initially received skeptically due to the acontextual nature of AI, but grew to be perceived as a safety net for triage decision making among emergency nurses.
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Participants had a forward-looking perspective on AI integration, resonating with studies on AI's transformative potential in shaping nursing practice.
“Furthermore, the participants' forward-looking perspective on AI integration resonates with studies discussing AI's transformative potential in shaping the trajectory of nursing practice [41].”
From Artificial intelligence in future nursing care: exploring perspectives of nursing professionals - a descriptive qualitative study (2024) · cites this paper as [41]
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Rony, M. K. K., Kayesh, I., Bala, S. D., Akter, F., & Parvin, M. R. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e25718 · Cited by 190 · see citing works
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Health Care Professionals’ Experience of Using AI: Systematic Review With Narrative Synthesis
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- Authors
- Jordan, M., Hauser, J., Cota, S., Li, H., & Wolf, L.
- Affiliations
- White Memorial Medical Center (US)
- University of California, Los Angeles (US)
- Azusa Pacific University (US)
- Emergency Nurses Association (US)
- Venue
- Journal of Transcultural Nursing
- Publisher
- SAGE Publications
- Published
- 2022-10-08
- Volume
- 34
- Issue
- 1
- Pages
- 32-39
- ISSN
- 1043-6596 (ISSN-L)
- 1552-7832
- OpenAlex
- W4303647070
- Cited by
- 37
- References
- 12
- Citations by year
- 2026: 12 · 2025: 12 · 2024: 8 · 2023: 4
- FWCI
- 1.81
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Transcultural Nursing (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Social Sciences › Sociology and Political Science › Cultural Competency in Health Care
- Health Sciences › Medicine › Emergency Medicine › Emergency and Acute Care Studies
- Keywords
- artificial intelligence, emergency department triage, clinical decision support, Kate, cultural competence, implementation barriers and facilitators, emergency nursing, acuity assessment
- MeSH terms
- Artificial Intelligence, Emergency Service, Hospital, Humans, Triage, Emergency Nursing, Qualitative Research
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