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Data Science Implementation Trends in Nursing Practice: A Review of the 2021 Literature
8
Zitationen
23
Autoren
2023
Jahr
Abstract
OBJECTIVES: The goal of this work was to provide a review of the implementation of data science-driven applications focused on structural or outcome-related nurse-sensitive indicators in the literature in 2021. By conducting this review, we aim to inform readers of trends in the nursing indicators being addressed, the patient populations and settings of focus, and lessons and challenges identified during the implementation of these tools. METHODS: We conducted a rigorous descriptive review of the literature to identify relevant research published in 2021. We extracted data on model development, implementation-related strategies and measures, lessons learned, and challenges and stakeholder involvement. We also assessed whether reports of data science application implementations currently follow the guidelines of the Developmental and Exploratory Clinical Investigations of DEcision support systems driven by AI (DECIDE-AI) framework. RESULTS: Of 4,943 articles found in PubMed (NLM) and CINAHL (EBSCOhost), 11 were included in the final review and data extraction. Systems leveraging data science were developed for adult patient populations and were primarily deployed in hospital settings. The clinical domains targeted included mortality/deterioration, utilization/resource allocation, and hospital-acquired infections/COVID-19. The composition of development teams and types of stakeholders involved varied. Research teams more frequently reported on implementation methods than implementation results. Most studies provided lessons learned that could help inform future implementations of data science systems in health care. CONCLUSION: In 2021, very few studies report on the implementation of data science-driven applications focused on structural- or outcome-related nurse-sensitive indicators. This gap in the sharing of implementation strategies needs to be addressed in order for these systems to be successfully adopted in health care settings.
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Autoren
- Ann Wieben
- Rachel Walden
- Bader G. Alreshidi
- Sophia Brown
- Kenrick Cato
- Cynthia Peltier Coviak
- Christopher Cruz
- Fabio D’Agostino
- Brian Douthit
- Thompson H. Forbes
- Grace Gao
- Steve Johnson
- Mikyoung A. Lee
- Margaret Mullen‐Fortino
- Jung In Park
- Suhyun Park
- Lisiane Pruinelli
- Anita Reger
- Jethrone Role
- Marisa Sileo
- Mary Anne Schultz
- Pankaj Vyas
- Alvin D. Jeffery
Institutionen
- University of Wisconsin–Madison(US)
- Vanderbilt University(US)
- University of Ha'il(SA)
- Walden University(US)
- Columbia University(US)
- Grand Valley State University(US)
- Chevron (United States)(US)
- Saint Camillus International University of Health and Medical Sciences(IT)
- United States Department of Veterans Affairs(US)
- East Carolina University(US)
- Atlanta VA Medical Center(US)
- University of Minnesota(US)
- Texas Woman's University(US)
- Penn Presbyterian Medical Center(US)
- University of California, Irvine(US)
- University of Florida(US)
- Loma Linda University Health Care(US)
- Boston Children's Hospital(US)
- Boston Children's Museum(US)
- California State University, Long Beach(US)
- University of Arizona(US)
- VA Tennessee Valley Healthcare System(US)