1 School of Public Health, University of Illonois at Chicago, USA.
2 Leavitt School of Health, Western Governors University, Texas USA.
3 The University of Texas at Tyler, USA.
4 Western Illinois University, USA.
5 School of Nursing, Faculty of Health Sciences, North West University, Potchefstroom, South Africa.
GSC Advanced Research and Reviews, 2026, 27(03), 068-079
Article DOI: 10.30574/gscarr.2026.27.3.0134
Received on 08 May 2026; revised on 14 June 2026; accepted on 17 June 2026
Critical care environments present complex challenges that demand precision, rapid decision-making, and seamless team collaboration. This review examines the convergence of three transformative pillars advanced data analytics, evidence-based clinical protocols, and interdisciplinary communication systems as integrated strategies for advancing patient safety and quality outcomes in intensive care settings. Findings reveal that real-time predictive analytics substantially reduce adverse event rates, while structured evidence-based protocols decrease variability in clinical practice. Interdisciplinary communication frameworks, including standardized handoff tools and electronic health record integration, demonstrably improve care coordination and reduce preventable medical errors. The synthesis underscores that these three domains are most effective when implemented synergistically rather than in isolation. Recommendations include investment in interoperable digital infrastructure, sustained nurse education, and institutional commitment to safety culture as foundational prerequisites for transformative critical care improvement.
Patient safety; Critical care nursing; Data analytics; Evidence-based practice; Interdisciplinary communication; Quality improvement
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Dymphna Ghasarah, Funmilayo Badru, Jacinta Ogbemudia, Oladimeji Taiwo and Tanwa Sola Lawal. Advancing patient safety and quality outcomes in critical care nursing through data analytics, evidence-based protocols and interdisciplinary communication systems. GSC Advanced Research and Reviews, 2026, 27(03), 068-079. Article DOI: https://doi.org/10.30574/gscarr.2026.27.3.0134.