What is the Role of Data Analytics in Healthcare?
Big Data in healthcare represents a technological challenge and a significant opportunity to revolutionize how medical care is delivered, making it more personal, efficient, and effective. It is integral in transitioning from reactive to proactive and predictive care, ultimately fostering a healthier society with better clinical outcomes. Big Data in healthcare refers to the massive volumes of data created by the digitization of everything that gets measured and recorded in healthcare systems. This data comes from a variety of sources, including electronic health records (EHRs), medical imaging, genomic sequencing, payor records, pharmaceutical research, wearables, and medical devices, among others.
Role of Big Data Analytics in Healthcare
Big data analytics in healthcare involves analyzing large data to uncover some hidden patterns and unknown correlations, market trends, customer preferences, and other useful information. In healthcare, Big data analytics is the process of looking through the vast and diverse quantities of data, or big data that find patterns that may be hidden, connections that may not be recognized, patient preferences, and other relevant information that may assist businesses in making better business decisions.
In this article, we will look into How Big Data analytics is being used in healthcare, Big data examples in Healthcare, Importance and Challenges in Healthcare.
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