Have a personal or library account? Click to login
Big data can help prepare nurses and improve patient outcomes by improving quality, safety, and outcomes Cover

Big data can help prepare nurses and improve patient outcomes by improving quality, safety, and outcomes

Open Access
|Jun 2023

References

  1. Galetsi P, Katsaliaki K. Big data analytics in health: an overview and bibliometric study of research activity. Health Info Libr J. 2020;37:5–25.
  2. Rains SA. Big data, computational social science, and health communication: a review and agenda for advancing theory. Health Commun. 2020;35: 26–34.
  3. Fanelli S, Pratici L, Salvatore FP, Donelli CC, Zangrandi A. Big data analysis for decision-making processes: challenges and opportunities for the management of health-care organizations. Manag Res Rev. 2023;46:369–389.
  4. Finkelstein J, Zhang F, Levitin SA, Cappelli D. Using big data to promote precision oral health in the context of a learning healthcare system. J Public Health Dent. 2020;80:S43–S58.
  5. Monsen KA, Peters J, Schlesner S, Vanderboom CE, Holland DE. The gap in big data: getting to wellbeing, strengths, and a whole-person perspective. Glob Adv Health Med. 2015;4:31–39.
  6. Bani Hani SH, Ahmad MM. Large-scale data in health care: a concept analysis. Georgian Med News. 2022;325:33–36.
  7. Wong HT, Chiang VCL, Choi KS, Loke AY. The need for a definition of Big Data for nursing science: a case study of disaster preparedness. Int J Environ Res Public Health. 2016;13:1015.
  8. Sensmeier J. Understanding the impact of big data on nursing knowledge. Nurs2019 Crit Care. 2016;11:11–13.
  9. Zhu R, Han S, Su Y, Zhang C, Yu Q, Duan Z. The application of big data and the development of nursing science: a discussion paper. Int J Nurs Sci. 2019;6:229–234.
  10. Westra BL, Clancy TR, Sensmeier J, Warren JJ, Weaver C, Delaney CW. Nursing knowledge: big data science—implications for nurse leaders. Nurs Adm Q. 2015;39:304–310.
  11. Bani Hani SH, Ahmad MM. Machine-learning algorithms for ischemic heart disease prediction: a systematic review. Curr Cardiol Rev. 2023;19:87–99.
  12. Brennan PF, Bakken S. Nursing needs big data and big data needs nursing. J Nurs Scholarsh. 2015;47:477–484.
  13. Moher D, Liberati A, Tetzlaff J, Altman DG; PRISMA Group. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2009;6:e1000097.
  14. Stifter J, Yao Y, Lodhi MK, et al. Nurse continuity and hospital-acquired pressure ulcers: A comparative analysis using an electronic health record “big data” set. Nurs Res. 2015;64:361–371.
  15. Remus S. The big data revolution: opportunities for chief nurse executives. Nurs Leadersh. 2016;28:18–28.
  16. Founds S. Systems biology for nursing in the era of big data and precision health. Nurs Outlook. 2018;66:283–292.
  17. Gleason KT, Himmelfarb CRD. Big data: Contributions, limitations, and implications for cardiovascular nurses. J Cardiovasc Nurs. 2017;32:4–6.
  18. Procter PM, Wilson ML. Nursing, professional curiosity and big data CoCreating eHealth. In MIE (pp. 186–190).
  19. Monsen KA, Kelechi TJ, McRae ME, Mathiason MA, Martin KS. Nursing theory, terminology, and big data: data-driven discovery of novel patterns in archival randomized clinical trial data. Nurs Res. 2018;67:122–132.
  20. Hewner S, Sullivan SS, Yu G. Reducing emergency room visits and in-hospitalizations by implementing best practice for transitional care using innovative technology and big data. Worldviews Evid Based Nurs. 2018;15:170–177.
  21. Gleason KT, Davidson PM, Tanner EK, et al. Defining the critical role of nurses in diagnostic error prevention: a conceptual framework and a call to action. Diagnosis. 2017;4:201–210.
  22. Clancy TR. Artificial intelligence and nursing: the future is now. J Nurs Adm. 2020;50:125–127.
DOI: https://doi.org/10.2478/fon-2023-0026 | Journal eISSN: 2544-8994 | Journal ISSN: 2097-5368
Language: English
Page range: 241 - 248
Submitted on: Nov 8, 2022
Accepted on: Dec 31, 2022
Published on: Jun 22, 2023
Published by: Shanxi Medical Periodical Press
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year

© 2023 Muayyad Ahmad, Salam H. Bani Hani, Mohammad Abu Sabra, Omar Almahmoud, published by Shanxi Medical Periodical Press
This work is licensed under the Creative Commons Attribution 4.0 License.