Information Technology College, Ajloun National University, Ajloun, Jordan.
Faculty of Nursing, Umm Al-Qura University, Makkah, Saudi Arabia.
J Healthc Eng. 2022 Mar 9;2022:1959371. doi: 10.1155/2022/1959371. eCollection 2022.
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.
在人工智能（AI）最受欢迎的应用中，就使用和预期而言，医疗领域的应用所占比例最大。本研究通过整合主题前期研究的认识论立场，在护理专业人员的科学培训中提出了一种调查系统化模型。为了验证所提出的模型，创建了一个原型来展示一个应用程序，该程序可以帮助护士在他们的临床过程中存储他们的经验，以将其存储在案例库中进行未来的研究。原型包括对儿科护理诊断进行数字化处理，并将其插入案例库中，以便评估原型在处理这些案例方面的有效性，这些案例的结构有利于检索、适应、索引和案例比较。这项工作展示了一个健康领域的计算工具，该工具使用了人工智能技术之一，即基于案例的推理（CBR）。在本研究中使用的孟加拉国小型政府护理教育机构还没有进行护理管理（NCS）和计算机支持量表的系统化。
