How does big data contribute to reducing healthcare costs?

How does big data contribute to reducing healthcare costs?

• A. By avoiding duplication of tests, enabling predictive modeling for early identification of high-risk patients, and optimizing hospital processes.
• B. By increasing the number of duplicate tests.
• C. By delaying treatment decisions.
• D. By ignoring hospital processes.

Answer: (A)

Big data analytics in healthcare reduces costs by making care more efficient and preventing unnecessary work. When data from tests, imaging, prescriptions, and patient records are integrated, clinicians can see what has already been done, so avoidable duplicate tests aren’t ordered, saving money and reducing patient risk. Large datasets enable predictive modeling to identify patients at high risk of admission, deterioration, or readmission, which supports targeted, early interventions and proactive care that can prevent expensive emergency or inpatient treatments. Optimizing hospital processes—from scheduling and staffing to bed management and supply chains—reduces delays, length of stay, and waste, further cutting costs. The other options describe outcomes that would typically raise costs or harm care quality, not lower it.

Big data analytics in healthcare reduces costs by making care more efficient and preventing unnecessary work. When data from tests, imaging, prescriptions, and patient records are integrated, clinicians can see what has already been done, so avoidable duplicate tests aren’t ordered, saving money and reducing patient risk. Large datasets enable predictive modeling to identify patients at high risk of admission, deterioration, or readmission, which supports targeted, early interventions and proactive care that can prevent expensive emergency or inpatient treatments. Optimizing hospital processes—from scheduling and staffing to bed management and supply chains—reduces delays, length of stay, and waste, further cutting costs. The other options describe outcomes that would typically raise costs or harm care quality, not lower it.