The amount of data produced and consumed within the health care sector is growing in volume and complexity. Rapid advances in genomic medicine and evidence-based standards will include data points several orders of magnitude more complex than traditional medical records. New technologies and digital capabilities are enabling real-time data collection from a variety of new sources, such as mobile health applications, sensors, medical devices, and remote patient monitoring tools. These massive quantities of data, known as ‘big data,’ contain insights that could help to improve the quality and cost of health care. But translating all of the data into meaningful intelligence that can improve health outcomes will require new methods for evaluating, managing, and storing data across the continuum – form research laboratories to patient care at bedside.
The Nell Hodgson Woodruff School of Nursing’s Center for Data Science is dedicated to unlocking the power of big data to improve health outcomes through better clinical decision support, disease surveillance, and population health management.