
Use of big data analytics to better understand disease
As the name implies, “big data” refers to large amounts of data that are too diverse and complex to be analyzed by traditional means. In healthcare, big data analytics uses large datasets related to patient records, such as genetic data and demographic data, to make the entire healthcare system more efficient and effective for patients and healthcare workers. For example, biological samples and medical imaging banks have been used to train artificial intelligence models to accurately detect diseases that could be missed by a human. Analysis of big data can enable the detection of disease trends, reduce treatment costs, and improve the quality of care.