Which of the following is one of the questions health-related data analysis helps us answer?

• A. How do we know what improves patient health?
• B. What is the difference between data and information?
• C. How do we know why people get sick?
• D. How do we measure patient satisfaction?

Answer: (A)

Understanding which actions actually improve patient health is what health data analysis is all about. By examining outcomes data and comparing different interventions, it shows which strategies lead to better health results, fewer complications, or improved functioning. This focus on tangible health improvements is why the option about knowing what improves patient health is the best match for what data analysis helps us answer. The other ideas – distinguishing data from information, exploring why people get sick, or measuring patient satisfaction – are relevant to health work, but they don’t center on identifying which practices truly boost health outcomes.