C803 HLTH 3315
Data Analytics & Information Governance
FA Test Review (Qns & Ans)
2025
1. What is the primary purpose of data governance in
healthcare?
a) To ensure the financial stability of healthcare institutions
b) To enhance the availability and security of healthcare data
c) To manage patient appointments
d) To improve the architectural design of healthcare facilities
Correct ANS: b) To enhance the availability and security of
healthcare data
©2025
, Rationale: Data governance focuses on maintaining the
integrity, security, and availability of data within an organization.
2. Which of the following best describes predictive analytics in
healthcare?
a) Analyzing past data to determine future outcomes
b) Monitoring current patient health in real-time
c) Managing healthcare financials
d) Designing new healthcare policies
Correct ANS: a) Analyzing past data to determine future
outcomes
Rationale: Predictive analytics uses historical data to
forecast future events and trends in healthcare.
Fill-in-the-Blank Questions
3. The process of transforming raw data into meaningful insights
is called ____________.
Correct ANS: data analytics
Rationale: Data analytics involves analyzing data to derive
actionable insights.
©2025
,4. In healthcare, ____________ analytics is used to identify
patterns and relationships within the data.
Correct ANS: descriptive
Rationale: Descriptive analytics summarizes and interprets
historical data to identify trends and patterns.
True/False Questions
5. True or False: Data integrity refers to the accuracy and
consistency of data over its lifecycle.
Correct ANS: True
Rationale: Data integrity ensures that data remains accurate,
consistent, and trustworthy throughout its lifecycle.
6. True or False: Data governance is only concerned with the
technical aspects of data management.
Correct ANS: False
Rationale: Data governance encompasses both technical and
organizational aspects, including policies, procedures, and data
stewardship.
Multiple Response Questions
7. Which of the following are common data quality issues in
healthcare? (Select all that apply)
©2025
, a) Incomplete data
b) Duplicate data
c) Accurate data
d) Inconsistent data
Correct ANSs: a) Incomplete data, b) Duplicate data, d)
Inconsistent data
Rationale: Common data quality issues include incomplete,
duplicate, and inconsistent data, which can affect the reliability of
health information.
8. Which of the following are benefits of effective data
governance? (Select all that apply)
a) Improved data quality
b) Enhanced data security
c) Increased data silos
d) Compliance with regulations
Correct ANSs: a) Improved data quality, b) Enhanced data
security, d) Compliance with regulations
Rationale: Effective data governance improves data quality,
enhances security, and ensures compliance with regulations.
©2025
Data Analytics & Information Governance
FA Test Review (Qns & Ans)
2025
1. What is the primary purpose of data governance in
healthcare?
a) To ensure the financial stability of healthcare institutions
b) To enhance the availability and security of healthcare data
c) To manage patient appointments
d) To improve the architectural design of healthcare facilities
Correct ANS: b) To enhance the availability and security of
healthcare data
©2025
, Rationale: Data governance focuses on maintaining the
integrity, security, and availability of data within an organization.
2. Which of the following best describes predictive analytics in
healthcare?
a) Analyzing past data to determine future outcomes
b) Monitoring current patient health in real-time
c) Managing healthcare financials
d) Designing new healthcare policies
Correct ANS: a) Analyzing past data to determine future
outcomes
Rationale: Predictive analytics uses historical data to
forecast future events and trends in healthcare.
Fill-in-the-Blank Questions
3. The process of transforming raw data into meaningful insights
is called ____________.
Correct ANS: data analytics
Rationale: Data analytics involves analyzing data to derive
actionable insights.
©2025
,4. In healthcare, ____________ analytics is used to identify
patterns and relationships within the data.
Correct ANS: descriptive
Rationale: Descriptive analytics summarizes and interprets
historical data to identify trends and patterns.
True/False Questions
5. True or False: Data integrity refers to the accuracy and
consistency of data over its lifecycle.
Correct ANS: True
Rationale: Data integrity ensures that data remains accurate,
consistent, and trustworthy throughout its lifecycle.
6. True or False: Data governance is only concerned with the
technical aspects of data management.
Correct ANS: False
Rationale: Data governance encompasses both technical and
organizational aspects, including policies, procedures, and data
stewardship.
Multiple Response Questions
7. Which of the following are common data quality issues in
healthcare? (Select all that apply)
©2025
, a) Incomplete data
b) Duplicate data
c) Accurate data
d) Inconsistent data
Correct ANSs: a) Incomplete data, b) Duplicate data, d)
Inconsistent data
Rationale: Common data quality issues include incomplete,
duplicate, and inconsistent data, which can affect the reliability of
health information.
8. Which of the following are benefits of effective data
governance? (Select all that apply)
a) Improved data quality
b) Enhanced data security
c) Increased data silos
d) Compliance with regulations
Correct ANSs: a) Improved data quality, b) Enhanced data
security, d) Compliance with regulations
Rationale: Effective data governance improves data quality,
enhances security, and ensures compliance with regulations.
©2025
