Big data analytics is the process of analyzing large amounts of data to gain insights and knowledge. The term “big data” was coined by technology vendors in 1996, when storage capacity increased from gigabytes to terabytes, or from thousands of files to millions. In healthcare, big data refers to massive volumes of patient-specific information collected about diseases and treatments over time, which can be used for developing predictive models that can help physicians make better treatment decisions.
Big data analytics to improve healthcare quality
Big data analytics can help in identifying the root cause of the problem, and thus improve healthcare quality at a large scale. Big data analytics can also help in identifying the right solution for the problem, as well as improving healthcare quality at a large scale.
How to apply big data analytics in healthcare
Big data analytics can be used to improve healthcare quality. It is important that you understand the importance of data governance in order to implement big data analytics projects successfully.
The importance of data governance in Big Data
Data governance is the process of ensuring that data is managed in a way that meets the needs of all users. It’s an important part of big data, but also applies to smaller datasets and even single-use files. Data governance helps ensure that your organization’s big data initiatives are beneficial for all individuals involved in its creation, use, or analysis–including patients who provide their health information; clinical staff members who treat them; researchers who …Big Data To Improve Healthcare Quality Read More