J Korean Acad Nurs Adm.  2016 Jan;22(1):67-79. 10.11111/jkana.2016.22.1.67.

Nursing Service R&D Strategy based on Policy Direction of Korean Government Supported Research and Development

Affiliations
  • 1Department of Nursing Science, College of Nursing, Gachon University, Korea.
  • 2JW Lee Center for Global Medicine, College of Medicine, Seoul National University, Korea. junikorea@gmail.com

Abstract

PURPOSE
To develop strategies for research and development (R&D) in nursing service based on the policy direction of government supported R&D in Korea.
METHODS
This was a descriptive study to develop strategies for promoting R&D in nursing by analyzing investment trends and status quo, policy directions, and implementation of the details of government supported R&D through government reports, websites of relevant agencies and literature reviews.
RESULTS
Few nursing experts participated in clinical research on overcoming major diseases and in R&D for well-being and care. Development of nursing topics that meet the direction of government supported R&D were lacking. Insufficient implementation of nursing service R&D in a timely manner equipped with a performance-based system. Few research studies in R&D projects that included research using big data or contributing to developing medical instruments. Finally, an insufficient number of nursing specialists participated on government R&D advisory committees.
CONCLUSION
For nursing service R&D development efforts should be toward quantitative expansion and qualitative improvements by sensitively recognizing policy direction of government supported R&D. The promotional capacity of nursing service R&D must be reinforced through a multidisciplinary approach and collaborative association with other professionals and the inclusion of nurse specialists on government R&D advisory committees.

Keyword

Nursing service; Research and development; R&D; Research

MeSH Terms

Advisory Committees
Investments
Korea
Nursing Services*
Nursing*
Specialization

Figure

  • Figure 1 Direction of building the big data linking platform.


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