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DOI: 10.1055/s-0044-1788701
Can Artificial Intelligence Assist Nurses in Planning the Nursing Care of a Child with Acute Lymphoblastic Leukemia?
Funding None declared.
Abstract
Background Today, the rapid development of artificial intelligence (AI) based technologies and their widespread use in the health sector offer important opportunities in the field of nursing practices and patient care. Therefore, there is a need for research to better understand and evaluate the impact of AI-based applications on nursing. In this study, we aimed to determine and evaluate the nursing care practices planned by AI for a pediatric case diagnosed with acute lymphoblastic leukemia.
Methods Within the scope of the study, a hospitalization scenario for a child diagnosed with acute lymphoblastic leukemia was created by the researchers in line with the literature. The scenario and five open-ended questions were directed to ChatGPT (OpenAI), an AI application. The responses were evaluated in line with the literature.
Results It was determined that AI did not include the measurement of vital signs in the planning of nursing care for the current problems of the child diagnosed with acute lymphoblastic leukemia, and could not detect anemia, thrombocytopenia, alopecia, and nausea/vomiting among the possible problems of the child.
Conclusion Although it is thought to address the patient in a multidimensional way with its responses, the knowledge, experience, and equipment of the nurse are needed to filter the information provided by AI. In line with the data obtained, it is recommended that nurses make a final assessment for the appropriateness of the intervention when deciding to follow an AI-based recommendation.
Ethical Considerations
The case used in this study was prepared by the researchers in line with the literature. Therefore, ethics committee permission was not obtained.
This manuscript has been read and approved by all the authors.
Patient Consent
None declared.
Publication History
Article published online:
29 July 2024
© 2024. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)
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