C803 HLTH 3315
Data Analytics & Information
Governance
OA READINESS EXAM
Q&S
©2024/2025
,1. Multiple Choice: Which of the following is a key
feature of effective data governance in healthcare?
A) Data security
B) Data minimization
C) Data consistency
D) All of the above
Correct Answer: D) All of the above
Rationale: Effective data governance in healthcare
involves ensuring data security to protect patient
information, data minimization to avoid unnecessary
data collection, and data consistency for accurate
analysis and decision-making.
2. Fill-in-the-Blank: __________ is the process of
examining large pre-existing databases in order to
generate new information.
Correct Answer: Data mining
Rationale: Data mining is the analytical process
of exploring and analyzing large blocks of
information to uncover meaningful patterns and rules.
3. True/False: In information governance, data
quality is more important than data quantity.
Correct Answer: True
Rationale: While having a large quantity of data
can be beneficial, the quality of data is crucial for
©2024/2025
, making accurate and reliable decisions in healthcare.
4. Multiple Response: Select all that apply. Which of
the following are challenges faced by data analytics
in nursing?
A) High volume of data
B) Rapid change in technology
C) Lack of standardized data
D) Insufficient training
Correct Answers: A) High volume of data, B) Rapid
change in technology, C) Lack of standardized data,
D) Insufficient training
Rationale: Nurses face several challenges in data
analytics, including the overwhelming volume of data,
rapidly changing technology, lack of standardized
data, and insufficient training to effectively use
data analytics tools.
5. Multiple Choice: What does the term 'big data'
refer to in the context of healthcare analytics?
A) Large volumes of complex data
B) Data from various healthcare departments
C) Patient-generated health data
D) Electronic health records
Correct Answer: A) Large volumes of complex data
Rationale: 'Big data' in healthcare analytics
refers to the large volumes of complex data that are
difficult to process using traditional data
processing applications.
©2024/2025
Data Analytics & Information
Governance
OA READINESS EXAM
Q&S
©2024/2025
,1. Multiple Choice: Which of the following is a key
feature of effective data governance in healthcare?
A) Data security
B) Data minimization
C) Data consistency
D) All of the above
Correct Answer: D) All of the above
Rationale: Effective data governance in healthcare
involves ensuring data security to protect patient
information, data minimization to avoid unnecessary
data collection, and data consistency for accurate
analysis and decision-making.
2. Fill-in-the-Blank: __________ is the process of
examining large pre-existing databases in order to
generate new information.
Correct Answer: Data mining
Rationale: Data mining is the analytical process
of exploring and analyzing large blocks of
information to uncover meaningful patterns and rules.
3. True/False: In information governance, data
quality is more important than data quantity.
Correct Answer: True
Rationale: While having a large quantity of data
can be beneficial, the quality of data is crucial for
©2024/2025
, making accurate and reliable decisions in healthcare.
4. Multiple Response: Select all that apply. Which of
the following are challenges faced by data analytics
in nursing?
A) High volume of data
B) Rapid change in technology
C) Lack of standardized data
D) Insufficient training
Correct Answers: A) High volume of data, B) Rapid
change in technology, C) Lack of standardized data,
D) Insufficient training
Rationale: Nurses face several challenges in data
analytics, including the overwhelming volume of data,
rapidly changing technology, lack of standardized
data, and insufficient training to effectively use
data analytics tools.
5. Multiple Choice: What does the term 'big data'
refer to in the context of healthcare analytics?
A) Large volumes of complex data
B) Data from various healthcare departments
C) Patient-generated health data
D) Electronic health records
Correct Answer: A) Large volumes of complex data
Rationale: 'Big data' in healthcare analytics
refers to the large volumes of complex data that are
difficult to process using traditional data
processing applications.
©2024/2025
