Topaz Maxim, Pruinelli Lisiane
Harvard Medical School & Brigham Women's Health Hospital, Boston, MA, USA.
School of Nursing, University of Minnesota, Minneapolis, MN, USA.
Stud Health Technol Inform. 2017;232:165-171.
Big data is becoming increasingly more prevalent and it affects the way nurses learn, practice, conduct research and develop policy. The discipline of nursing needs to maximize the benefits of big data to advance the vision of promoting human health and wellbeing. However, current practicing nurses, educators and nurse scientists often lack the required skills and competencies necessary for meaningful use of big data. Some of the key skills for further development include the ability to mine narrative and structured data for new care or outcome patterns, effective data visualization techniques, and further integration of nursing sensitive data into artificial intelligence systems for better clinical decision support. We provide growth-path vision recommendations for big data competencies for practicing nurses, nurse educators, researchers, and policy makers to help prepare the next generation of nurses and improve patient outcomes trough better quality connected health.
大数据正变得越来越普遍,它影响着护士学习、实践、开展研究和制定政策的方式。护理学科需要最大限度地利用大数据的优势,以推进促进人类健康和福祉的愿景。然而,目前在职的护士、教育工作者和护理科学家往往缺乏有效利用大数据所需的技能和能力。一些需要进一步发展的关键技能包括挖掘叙述性和结构化数据以发现新的护理或结果模式的能力、有效的数据可视化技术,以及将护理敏感数据进一步整合到人工智能系统中以提供更好的临床决策支持。我们为在职护士、护理教育工作者、研究人员和政策制定者提供大数据能力的成长路径愿景建议,以帮助培养下一代护士,并通过提高连接健康的质量改善患者结局。