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 of