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1. Which of the following techniques is used to transform healthcare data
from its raw form into useful information?
a) Data extraction
b) Data visualization
c) Data mining
d) Data normalization
Answer: d) Data normalization
Rationale: Data normalization is an essential technique that ensures
consistency and removes redundancies in healthcare data, resulting in a
consistent structure and improved data quality.
2. Which analytical tool is commonly used to analyze large volumes of
healthcare data in real-time?
a) Regression analysis
b) Machine learning
c) Geographic information systems (GIS)
d) Statistical process control (SPC)
Answer: b) Machine learning
Rationale: Machine learning algorithms are capable of analyzing complex
healthcare data patterns and trends in real-time, enabling critical decisionmaking based on accurate insights.
3. Which technique involves the use of algorithms to identify patterns and
relationships within healthcare data?
a) Data clustering
b) Data anonymization
c) Data warehousing
d) Data mapping
Answer: a) Data clustering
Rationale: Data clustering is a technique that groups similar data points
together based on predefined parameters, allowing the identification ofÂ
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