Upon successful completion of this unit, learners will be able to: Define and discuss the key characteristics of Big Data and its applications in healthcare. Identify primary sources of healthcare Big Data and explain how they contribute to data-driven clinical and administrative decisions. Demonstrate understanding of Big Data technologies such as Hadoop, MapReduce, and cloud-based platforms for data storage and processing. Analyze use cases where Big Data supports predictive analytics, personalized medicine, and operational optimization. Evaluate data governance, quality, and compliance challenges in Big Data environments. Interpret ethical issues related to data privacy, patient consent, and fairness in algorithmic healthcare decisions. Propose strategies for effective Big Data integration and responsible use in healthcare research and practice.

Basic knowledge of healthcare data systems and data management principles. Foundational understanding of healthcare operations and informatics concepts. Interest in healthcare analytics, technology, and data-driven decision-making.

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Healthcare professionals and administrators seeking to leverage Big Data for clinical and operational improvement. Data analysts and informatics specialists exploring healthcare applications of data science. Public health researchers and policy developers using Big Data for population health insights. IT professionals involved in the design and implementation of Big Data infrastructure in healthcare.