In healthcare, Big Data means collecting, analyzing and using consumer, physical and clinical data that is too extensive or complex to be understood by traditional processing methods. This trend has gained importance in healthcare due to three major changes: the massive amount of data available, the rising cost of healthcare, and the focus on consumption. Big Data enables healthcare systems to transform these challenges into personalized patient experiences and high-quality care.
In addition to EHR (Electronic Medical Records), vast amounts of data come from wearables, mobile applications, digital marketing activities, social media and more. This, in turn, requires appropriate systems to collect and interpret them. The main benefit here is creating a holistic, 360-degree image of consumers, patients and doctors. Thanks to comprehensive patient profiles, Big Data increases the level of personalization of care and its efficiency, and thus patient satisfaction. An example of Big Data application is the UnitedHealthcare solution, which thanks to the technology can detect fraud, waste and abuse in healthcare. To manage over a million claims per day (10 TB of data per day) effectively, the company uses the Hadoop platform, which seamlessly integrates large amounts of data, is economical and at the same time innovative.