Big Data

What is Big Data in Healthcare?

Big Data refers to the science around large volumes of complex and varied data generated by various sources, in the case of digital health, this could be electronic health records, biosensor medical devices, etc. It typically includes information about patients, treatments, and outcomes, as well as other complex data such as genetics. The ultimate goal of Big Data is to identify patterns and insights which may help improve healthcare outcomes. In summary, Big Data in healthcare means a very large amount of data and using that data for the purpose of making informed decisions to improve health outcomes.

How can Big Data be used in Healthcare?

By combing the large datasets of Big Data and sophisticated algorithms of AI technologies there is the potential to revolutionise healthcare through efficiency increases and improved quality in patient care. For AI to be effective it needs a very large data source and Big Data provides just that. This source might consist of laboratory test results, data on diagnoses and treatment history, demographic data, etc. The more data the better, which can then help to train the AI algorithms to predict disease incidence and detect trends that lead to better health and lifestyle within society.