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1.
Nurs Res ; 2024 May 10.
Artigo em Inglês | MEDLINE | ID: mdl-38773838

RESUMO

BACKGROUND: For years, nurse researchers have been called upon to engage with "big data" in the electronic health record (EHR) by leading studies focusing on nurse-centric patient outcomes and providing clinical analysis of potential outcome indicators. However, the current gap in nurses' data science education and training pose a significant barrier. OBJECTIVES: We aimed to evaluate the viability of conducting nurse-led, big-data research projects within a custom-designed computational lab and examine the support required by a team of researchers with little to no big-data experience. METHODS: Four nurse-led research teams developed a research question reliant on existing EHR data. Each team was given its own virtual computational lab populated with raw data. A data science education team provided instruction in coding languages-primarily structured query language and R-and data science techniques to organize and analyze the data. RESULTS: Three research teams have completed studies, resulting in one manuscript currently undergoing peer-review and two manuscripts in progress. The final team is performing data analysis. Four barriers and four facilitators to big-data projects were identified. DISCUSSION: As the data-science learning curve is steep, organizations need to help bridge the gap between what is currently taught in doctoral nursing programs and what is required of clinical nurse researchers to successfully engage in big-data methods. Additionally, clinical nurse researchers require protected research time and a data science infrastructure that supports novice efforts with education, mentorship, and computational lab resources.

2.
J Pediatr Nurs ; 56: 60-63, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-33186864

RESUMO

This paper describes how, as the COVID-19 pandemic emerged, one hospital-based center for nursing research and evidence-based practice capitalized on its unique skill mix to quickly pivot to provide hospital administrators and staff with timely, relevant evidence regarding the care of patients and families, as well as the protection of direct care providers and all support staff. The products produced by this center, both proactive and in direct response, contributed to clinical operations decision-making and thus, tangibly impacted practice. The positive outcomes described speak not only to the clinical environment, but also to the presence and specialized contributions of a multiprofessional center for nursing research and evidence-based practice in such a way that was not possible prior to COVID-19.


Assuntos
COVID-19 , Prática Clínica Baseada em Evidências/organização & administração , Hospitais , Pesquisa em Enfermagem , Humanos , Estados Unidos/epidemiologia
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