Which field studies large-scale health data from sources like records and wearables to predict risks and optimize treatments using artificial intelligence?

• A. Neural Implants
• B. Big Data Analytics
• C. Electronic Health Records
• D. Interoperability

Answer: (B)

Analyzing enormous health datasets with artificial intelligence to predict risks and optimize treatments is the field of big data analytics. It brings together data from diverse sources—electronic health records, wearable device streams, imaging, genomics, and more—and uses machine learning and advanced analytics to uncover patterns, forecast health outcomes, and personalize care. This approach centers on extracting actionable insights from large, complex data collections to guide decisions and improve patient outcomes.

Neural implants are medical devices that interact with the nervous system, not a data-analytic discipline. Electronic health records refer to the digital systems that store patient information, which are data sources used in analytics but don’t define the analytic field itself. Interoperability concerns whether different health IT systems can exchange and use data, rather than the analytics of large-scale health data.