Nursing Care Systematization with Case-Based Reasoning and Artificial Intelligence

• Published in: Journal of healthcare engineering Vol. 2022; pp. 1 - 9
• Main Authors: Alazzam, Malik Bader, Tayyib, Nahla, Alshawwa, Samar Zuhair, Ahmed, Md. Kawser
• Format: Journal Article
• Language: English
• Published: England Hindawi 09.03.2022
• Subjects: Artificial Intelligence; Bangladesh; Child; Humans; Bangladesh
• ISSN: 2040-2295; 2040-2309; 2040-2309
• DOI: 10.1155/2022/1959371

Of the most popular applications of artificial intelligence (AI), those used in the health sector are the ones that represent the largest proportion, in terms of use and expectation. An investigative systematization model is proposed in the scientific training of nursing professionals, by articulating epistemological positions from previous studies on the subject. In order to validate the model proposed, a prototype was created to present an application that could help nurses in their clinical processes, storing their experiences in a case base for future research. The prototype consisted of digitizing paediatric nursing diagnoses and inserting them into a case base in order to assess the effectiveness of the prototype in handling these cases in a structure conducive to retrieval, adaptation, indexing, and case comparison. This work presents as a result a computational tool for the health area, employing one of the artificial intelligence techniques, case-based reasoning (CBR). The small governmental nursing education institution in Bangladesh used in this study did not yet have the systemization of nursing care (NCS) and computerized support scales.