| Autor: |
Mikyoung LEE, Vyas, Pankaj, D'AGOSTINO, Fabio, WIEBEN, Ann, COVIAK, Cynthia, MULLEN-FORTINO, Margaret, Suhyun PARK, SILEO, Marisa, BROWN, Sophia, Nogueira DE SOUZA, Emiliane, PRUINELLI, Lisiane, ROLE, Jethrone |
| Zdroj: |
Studies in Health Technology & Informatics; 2024, Vol. 315, p195-199, 5p |
| Abstrakt: |
In the rapidly evolving landscape of modern healthcare, nurses must proficiently navigate data utilization and grasp the principles of data science. Despite this urgency, nursing stakeholders currently do not fully understand the extent of data literacy or data science literacy they need to acquire. This paper aims to elucidate the distinctions between data literacy and data science literacy, offering insights into strategies for nurturing these competencies within nursing education, research, and practice. Through a state-of-the-art review of 22 articles and six healthcare industry resources, we identified a notable absence of comprehensive frameworks and assessment tools, highlighting key areas for future development. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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