Lima José Janailton de, Vieira Larissa Gabrielle Dias, Nunes Marília Mendes
Escola de Saúde Pública do Ceará. Fortaleza, Ceará, Brazil.
Centro Universitário Estácio do Ceará. Fortaleza, Ceará, Brazil.
Rev Bras Enferm. 2018;71(suppl 3):1273-1280. doi: 10.1590/0034-7167-2017-0267.
to build a mobile technology to assist nurses during data collection, diagnostic reasoning, and identification of interventions in neonates.
methodological study with a qualitative approach. The development was carried out in three phases, namely: bibliographical survey, construction of a database of diagnosis/interventions, and development of the software. We used the development tools Ruby on Rails, IONIC 2, PostgresSQL, and Amazon EC2.
The developed technology received the name Natus, able to contribute to the development of the nursing process applied to patients of neonatal units. Its requirements are: to define human needs, select nursing diagnoses, select interventions, define time periods, and issue printed files.
the technology built is a computerized tool that allows for the development of the nursing process, facilitating data collection, diagnostic reasoning, and identification and grouping of the clinical signs presented by the newborn in neonatal units.
构建一种移动技术,以协助护士进行新生儿数据收集、诊断推理和干预措施识别。
采用定性方法的方法学研究。开发分三个阶段进行,即:文献调查、诊断/干预数据库构建和软件开发。我们使用了Ruby on Rails、IONIC 2、PostgreSQL和亚马逊EC2等开发工具。
所开发的技术命名为Natus,能够促进应用于新生儿病房患者的护理流程的发展。其要求包括:定义人类需求、选择护理诊断、选择干预措施、定义时间段以及生成打印文件。
所构建的技术是一种计算机化工具,可促进护理流程的发展,便于新生儿病房中新生儿临床体征的数据收集、诊断推理以及识别和分组。