Opportunities and Challenges of Utilising Big Data on SATUSEHAT Platform in Nursing: A Literature Review
https://doi.org/10.52235/lp.v5i2.318
Keywords:
big data, satu sehatAbstract
The SATUSEHAT platform which is Indonesia Health Services (IHS) is a form of digital transformation initiated by the Indonesian Ministry of Health. This platform integrates the health data of all Indonesian people including medical records across health facilities which will develop into a national health data center and has the opportunity to become big health data for the Government. To face this, the nursing field must prepare for various opportunities and challenges. Objective: To provide an overview of the opportunities and challenges of utilizing big data through the SATUSEHAT platform in the nursing field. The method used in this research is literature review. The keywords used were Big data in nursing and The Application of big data for the future. Literature searches were conducted using the online database method starting from 2015-2022 through ScienceDirect, ProQuest and Clinical Key. As a result of the literature review with a case study design, it was found that opportunities for big data utilization include personalized care, nursing research development, data-based policy formulation, while challenges include increasing data processing and management competencies, integrating big data education curriculum, privacy and ethical issues and standardizing nursing terminology Recommendations It is hoped that further research can discuss the preparations that must be made to maximize the potential for big data utilization in the future.
Downloads
References
Brennan, P. F., & Bakken, S. (2015). Nursing needs big data and big data needs nursing. Journal of Nursing Scholarship, 47(5), 477–484. https://doi.org/10.1111/jnu.12159
Campbell DNP RN, A. A., Harlan DNP RN, T., Campbell PhD, M., Mulekar PhD, M. S., & Wang PhD, B. (2021). nurse’s achilles heel: using big data to determine workload factors that impact near misses. Journal of Nursing Scholarship, 53(3), 333–342. https://doi.org/https://doi.org/10.1111/jnu.12652
Carter-Templeton, H., Nicoll, L.H., Wrigley, J., Wyatt, T.H.,( 2021).Big data in nursing: a bibliometric analysis. OJIN: The Online Journal of Issues in Nursing Vol. 26, No. 3, Manuscript 2.https://doi.org/10.3912/OJIN.Vol26No03Man02
Gibson, J., Jerde, M. J., & Shivers, N. (2022). Leveraging Big Data in Nursing Practice. Nurse Leader, 20(5), 461–464. https://doi.org/https://doi.org/10.1016/j.mnl.2022.06.004
Jeffs, L., Nincic, V., White, P., Hayes, L., & Lo, J. (2015). Leveraging data to transform nursing care: insights from nurse leaders. Journal of nursing care quality, 30(3), 269–274. https://doi.org/10.1097/NCQ.0000000000000095
Hansell, P. (2017). Advances in nursing research methodology: big data analytics the future. International Journal of Nursing & Clinical Practices, 4(1). https://doi.org/10.15344/2394-4978/2017/220
Hulisnaini, H., & Juliangrace, S. (2023). Transformasi Layanan Pedulilindungi Menjadi Satu Sehat (Transformation of Pedulilindungi Into Satu Sehat). 9.
Pruinelli, L. (2021). Nursing and data: powering nursing leaders for big data science. Revista Brasileira de Enfermagem, 74(4), e740401. https://doi.org/10.1590/0034-7167.2021740401
Sensmeier J. (2015). Big data and the future of nursing knowledge. Nursing management, 46(4), 22–28. https://doi.org/10.1097/01.NUMA.0000462365.53035.7d
Zhu, R., Han, S., Su, Y., Zhang, C., Yu, Q., & Duan, Z. (2019). The application of big data and the development of nursing science: A discussion paper. International Journal of Nursing Sciences, 6(2), 229–234. https://doi.org/https://doi.org/10.1016/j.ijnss.2019.03.001
Westra, B. L., Sylvia, M., Weinfurter, E. F., Pruinelli, L., Park, J. I., Dodd, D., Keenan, G. M., Senk, P., Richesson, R. L., Baukner, V., Cruz, C., Gao, G., Whittenburg, L., & Delaney, C. W. (2017). Big data science: A literature review of nursing research exemplars. Nursing Outlook, 65(5), 549–561. https://doi.org/10.1016/j.outlook.2016.11.021
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Yesica Tria Enggriani, Rr Tutik Sri Haryati
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
