Perspectives on Policy and the Value of Nursing Science in a Big Data Era (original) (raw)

Big data science: A literature review of nursing research exemplars

Nursing Outlook, 2016

Background: Big data and cutting edge analytic methods in nursing research challenge nurse scientists to extend the data sources and analytic methods used for discovering and translating knowledge. Purpose: To identify, analyze and synthesize exemplars of big data nursing research applied to practice and disseminated in key nursing informatics, general biomedical informatics, and nursing research journals. Methods: A literature review of studies published between 2009 and 2015. Findings: There were 650 journal articles identified in 17 key nursing informatics, general biomedical informatics, and nursing research journals in the Web of Science database. After screening for inclusion and exclusion criteria, 17 studies published in 18 articles were identified as big data nursing research applied to practice. Discussion: Nurses clearly are beginning to conduct big data research applied to practice. These studies represent multiple data sources and settings. While numerous analytic methods were used, the fundamental issue remains to define the types of analyses consistent with big data analytic methods. Conclusion: There are needs to increase the visibility of big data and data science research conducted by nurse scientists, further examine the use of state of the science in data analytics, and continue to expand the availability and use of a variety of scientific, governmental, and industry data resources. A major implication of this literature review is whether nursing faculty and preparation of future scientists (PhD programs) are prepared for big data and data science.

Powering Big Data for Nursing Through Partnership

Nursing administration quarterly, 2015

The Big Data Principles Workgroup (Workgroup) was established with support of the Healthcare Information and Management Systems Society. Building on the Triple Aim challenge, the Workgroup sought to identify Big Data principles, barriers, and challenges to nurse-sensitive data inclusion into Big Data sets. The product of this pioneering partnership Workgroup was the "Guiding Principles for Big Data in Nursing-Using Big Data to Improve the Quality of Care and Outcomes.

The Need for a Definition of Big Data for Nursing Science: A Case Study of Disaster Preparedness

International journal of environmental research and public health, 2016

The rapid development of technology has made enormous volumes of data available and achievable anytime and anywhere around the world. Data scientists call this change a data era and have introduced the term "Big Data", which has drawn the attention of nursing scholars. Nevertheless, the concept of Big Data is quite fuzzy and there is no agreement on its definition among researchers of different disciplines. Without a clear consensus on this issue, nursing scholars who are relatively new to the concept may consider Big Data to be merely a dataset of a bigger size. Having a suitable definition for nurse researchers in their context of research and practice is essential for the advancement of nursing research. In view of the need for a better understanding on what Big Data is, the aim in this paper is to explore and discuss the concept. Furthermore, an example of a Big Data research study on disaster nursing preparedness involving six million patient records is used for discu...

Nursing, Professional Curiosity and Big Data CoCreating eHealth

Studies in health technology and informatics, 2018

This paper describes work that has taken place over the past three years in the form of an annual deep dive study track within a national conference setting. The work explores the changing influence that big data, and in particular population and social determinants of health data, makes upon the generation of co-created eHealth within a nursing domain. Working with delegates, many of whom returned year after year, the paper reports the discussion themes and ideas that evolved over time. The paper is presented as an example of connected reasoning and personal development by all those involved and is offered as a distributed think tank for further discussion and debate.

The Symbiotic Collaboration Between Family Nursing and Data Science

CIN: Computers, Informatics, Nursing, 2020

n this day and age, team science is at the forefront of health sciences. 1 The complex and multifaceted nature of current and newly discovered health problems calls for formation of multidisciplinary teams to have better understanding of healthcare issues and to develop appropriate care management strategies. 1 This presents some growing pains for nursing science that has its roots developing solo scientists. Gradually, leaders in the profession are beginning to recognize the vital contribution of nursing to team science to address important and complex problems in health and healthcare delivery. 2,3 Much of the emphasis, including some of our own work, 2-4 focuses on large multidisciplinary research teams. Often overlooked in this conversation is the distinct expertise within the disciplines and the important discoveries and problems that can be solved by distinct specialties on unidisciplinary research teams, that is, research teams composed of individuals with the same discipline background. 5 To that end, two Research Interest Groups (RIGs) of the Midwest Nursing Research Society (MNRS), Family Health (FH) and Health Systems, Policy & Informatics (HSPI), began a process to explore a potentially symbiotic collaboration between the fields of family nursing and health systems and informatics. This short article aims to report on a joint symposium, from conceptualization to outcomes, highlighting the benefits of collaboration across those with expertise in health systems and informatics and those with expertise in family nursing. The goal is to share our own experience and lessons learned and provide resources for a call to action in nursing team science.

Nursing Informatics Research Priorities for the Future: Recommendations from an International Survey

Studies in Health Technology and Informatics, 2016

We present one part of the results of an international survey exploring current and future nursing informatics (NI) research trends. The study was conducted by the International Medical Informatics Association Nursing Informatics Special Interest Group (IMIA-NISIG) Student Working Group. Based on findings from this cross-sectional study, we identified future NI research priorities. We used snowball sampling technique to reach respondents from academia and practice. Data were collected between August and September 2015. Altogether, 373 responses from 44 countries were analyzed. The identified top ten NI trends were big data science, standardized terminologies (clinical evaluation/implementation), education and competencies, clinical decision support, mobile health, usability, patient safety, data exchange and interoperability, patient engagement, and clinical quality measures. Acknowledging these research priorities can enhance successful future development of NI to better support cl...

Emerging Professionals' Observations of Opportunities and Challenges in Nursing Informatics

The importance of nursing informatics (NI) is highlighted because of changing healthcare landscapes in response to rising digital health and technology integration and use. However, NI education, competency requirements and roles are not standardized across the world, and the potential of NI is modestly understood internationally. This paper explores opportunities and challenges in NI discussed in a panel at the 14th International Congress on Nursing and Allied Health Informatics. The panel was organized by the International Medical Informatics Association's -Nursing Informatics Working Group's Student and Emerging Professionals group. Discussions during the panel session were synthesized and analyzed using content analysis. Results indicate that challenges in NI education, career opportunities and roles continue to exist across healthcare settings and regions. Findings suggest that the following issues need attention: (1) collaboration to build stronger infrastructure to guide NI education, research and practice; (2) improved visibility and SPECIAL FOCUS ON NURSING AND DIGITAL HEALTH 8 9