C207 MGMT 6010
Data Driven Decision Making
Comprehensive FA Review (Qns & Ans)
2025
1. What is the primary benefit of using data-driven decision-
making in healthcare management?
- A) Increasing the number of patients
- B) Enhancing the accuracy of decisions
- C) Reducing employee workload
- D) Limiting patient care options
- ANS: B) Enhancing the accuracy of decisions
©/2025
, - Rationale: Data-driven decision-making enhances the
accuracy of decisions by leveraging data and analytics to provide
evidence-based insights.
2. Which of the following is a common tool used in data analysis
for decision-making?
- A) SWOT analysis
- B) Root cause analysis
- C) Data visualization software
- D) Five Forces analysis
- ANS: C) Data visualization software
- Rationale: Data visualization software is commonly used in
data analysis to help interpret complex data sets and present
findings in an understandable format.
Fill-in-the-Blank Questions
3. The __________ approach involves using historical data to
predict future trends and outcomes.
- ANS: predictive analytics
- Rationale: Predictive analytics uses historical data to predict
future trends and outcomes, helping organizations make informed
decisions.
©/2025
, 4. __________ is the process of gathering, cleaning, and
analyzing data to generate actionable insights for decision-
making.
- ANS: Data analysis
- Rationale: Data analysis involves gathering, cleaning, and
analyzing data to generate actionable insights that inform
decision-making.
True/False Questions
5. True or False: Data-driven decision-making eliminates the
need for human judgment in healthcare management.
- ANS: False
- Rationale: Data-driven decision-making complements
human judgment by providing evidence-based insights, but
human expertise and contextual understanding remain essential.
6. True or False: Machine learning algorithms can improve the
accuracy of predictive analytics in healthcare management.
- ANS: True
- Rationale: Machine learning algorithms can enhance the
accuracy of predictive analytics by identifying patterns and trends
©/2025
Data Driven Decision Making
Comprehensive FA Review (Qns & Ans)
2025
1. What is the primary benefit of using data-driven decision-
making in healthcare management?
- A) Increasing the number of patients
- B) Enhancing the accuracy of decisions
- C) Reducing employee workload
- D) Limiting patient care options
- ANS: B) Enhancing the accuracy of decisions
©/2025
, - Rationale: Data-driven decision-making enhances the
accuracy of decisions by leveraging data and analytics to provide
evidence-based insights.
2. Which of the following is a common tool used in data analysis
for decision-making?
- A) SWOT analysis
- B) Root cause analysis
- C) Data visualization software
- D) Five Forces analysis
- ANS: C) Data visualization software
- Rationale: Data visualization software is commonly used in
data analysis to help interpret complex data sets and present
findings in an understandable format.
Fill-in-the-Blank Questions
3. The __________ approach involves using historical data to
predict future trends and outcomes.
- ANS: predictive analytics
- Rationale: Predictive analytics uses historical data to predict
future trends and outcomes, helping organizations make informed
decisions.
©/2025
, 4. __________ is the process of gathering, cleaning, and
analyzing data to generate actionable insights for decision-
making.
- ANS: Data analysis
- Rationale: Data analysis involves gathering, cleaning, and
analyzing data to generate actionable insights that inform
decision-making.
True/False Questions
5. True or False: Data-driven decision-making eliminates the
need for human judgment in healthcare management.
- ANS: False
- Rationale: Data-driven decision-making complements
human judgment by providing evidence-based insights, but
human expertise and contextual understanding remain essential.
6. True or False: Machine learning algorithms can improve the
accuracy of predictive analytics in healthcare management.
- ANS: True
- Rationale: Machine learning algorithms can enhance the
accuracy of predictive analytics by identifying patterns and trends
©/2025
