Big Data in Healthcare


Define “big data” and describe two ways it can be utilized to advance nursing and/or improve patient outcomes.


Healthcare big data refers to the large amounts of health-related data generated from different sources such as electronic health records (EHRs), wearable devices, genetic testing, and others. This data is marked by volume, velocity, and variety which poses peculiar challenges and opportunities for analysis and utilization (Shilo et al., 2020).

Utilization to Advance Nursing and Health Outcomes:

Predictive Analytics for Patient Care: Predictive analytics can be used to predict health outcomes and identify patients who are likely to develop specific conditions. The patterns in historical and real-time data allow healthcare providers to proactively manage chronic diseases thereby reducing hospital readmissions, tailoring care plans to individual patients’ needs and thus improving patient outcomes (Shilo et al., 2020).

Evidence-Based Practice and Research: Big data facilitates the development of nursing and healthcare by being a source of information used in evidence-based practice and research. Large-scale data analysis may reveal insights into successful treatments, trends in patient care, and outcomes and add knowledge to the body that guides clinical guidelines, policies, and nursing education (Shilo et al., 2020). This evidence-based approach guarantees that the care of patients is based on current studies and best practices, which help with better health outcomes.


Shilo, S., Rossman, H., & Segal, E. (2020). Axes of a revolution: challenges and promises of big data in healthcare. Nature medicine26(1), 29-38.

big data in healthcare

Your explanation effectively captures the essence of big data in healthcare and its potential applications in nursing. Predictive analytics indeed offers proactive care solutions, minimizing readmissions, while leveraging big data for evidence-based practice ensures up-to-date care standards. These strategies enhance patient outcomes and drive healthcare advancements through data-driven insights. Well-articulated response with appropriate references.

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